VOTING POWER0.00%
DOWNVOTE POWER0.00%
RESOURCE CREDITS100.00%
REPUTATION PROGRESS0.00%
Net Worth
0.000USD
HIVE
0.000HIVE
HBD
0.000HBD
Own HP
0.000HP
Detailed Balance
| HIVE | ||
| balance | 0.000HIVE | HIVE |
| market_balance | 0.000HIVE | HIVE |
| savings_balance | 0.000HIVE | HIVE |
| reward_hive_balance | 0.000HIVE | HIVE |
| HIVE POWER | ||
| Own HP | 0.000HP | HP |
| Delegated Out | 0.000HP | HP |
| Delegation In | 0.000HP | HP |
| Effective Power | 0.000HP | HP |
| Reward HP (pending) | 0.000HP | HP |
| HBD | ||
| hbd_balance | 0.000HBD | HBD |
| hbd_conversions | 0.000HBD | HBD |
| hbd_market_balance | 0.000HBD | HBD |
| savings_hbd_balance | 0.000HBD | HBD |
| reward_hbd_balance | 0.000HBD | HBD |
{
"balance": "0.000 HIVE",
"savings_balance": "0.000 HIVE",
"reward_hive_balance": "0.000 HIVE",
"vesting_shares": "0.000000 VESTS",
"delegated_vesting_shares": "0.000000 VESTS",
"received_vesting_shares": "0.000000 VESTS",
"hbd_balance": "0.000 HBD",
"savings_hbd_balance": "0.000 HBD",
"reward_hbd_balance": "0.000 HBD"
}Account Info
| name | velsit |
| id | 2582672 |
| rank | 0 |
| reputation | 0 |
| created | 2025-08-12T15:00:45 |
| recovery_account | leo.voter |
| proxy | None |
| invited_by | null |
| post_count | 127 |
| comment_count | 0 |
| lifetime_vote_count | 0 |
| witnesses_voted_for | 0 |
| last_post | 2026-06-03T10:26:51 |
| last_root_post | 2026-06-01T10:30:30 |
| last_vote_time | 1970-01-01T00:00:00 |
| proxied_vsf_votes | 0, 0, 0, 0 |
| can_vote | 1 |
| voting_power | 0 |
| delayed_votes | None |
| governance_vote_expiration_ts | 1969-12-31T23:59:59 |
| balance | 0.000 HIVE |
| savings_balance | 0.000 HIVE |
| hbd_balance | 0.000 HBD |
| savings_hbd_balance | 0.000 HBD |
| vesting_shares | 0.000000 VESTS |
| delegated_vesting_shares | 0.000000 VESTS |
| received_vesting_shares | 0.000000 VESTS |
| reward_vesting_balance | 0.000000 VESTS |
| vesting_balance | 0.000 HIVE |
| vesting_withdraw_rate | 0.000000 VESTS |
| next_vesting_withdrawal | 1969-12-31T23:59:59 |
| withdrawn | 0 |
| to_withdraw | 0 |
| withdraw_routes | 0 |
| savings_withdraw_requests | 0 |
| last_account_recovery | 1970-01-01T00:00:00 |
| reset_account | null |
| last_owner_update | 1970-01-01T00:00:00 |
| last_account_update | 2026-01-06T13:10:57 |
| mined | No |
| hbd_seconds | 0 |
| hbd_last_interest_payment | 1970-01-01T00:00:00 |
| savings_hbd_last_interest_payment | 1970-01-01T00:00:00 |
{
"active": {
"account_auths": [],
"key_auths": [
[
"STM6mPWoxpYkVUMeNNqvdtgaCSm1D7JrWADzgBTDGBjGkGCtET9RD",
1
]
],
"weight_threshold": 1
},
"balance": "0.000 HIVE",
"can_vote": true,
"comment_count": 0,
"created": "2025-08-12T15:00:45",
"curation_rewards": 0,
"delayed_votes": [],
"delegated_vesting_shares": "0.000000 VESTS",
"downvote_manabar": {
"current_mana": 0,
"last_update_time": 1755010842
},
"governance_vote_expiration_ts": "1969-12-31T23:59:59",
"guest_bloggers": [],
"hbd_balance": "0.000 HBD",
"hbd_last_interest_payment": "1970-01-01T00:00:00",
"hbd_seconds": "0",
"hbd_seconds_last_update": "1970-01-01T00:00:00",
"id": 2582672,
"json_metadata": "[]",
"last_account_recovery": "1970-01-01T00:00:00",
"last_account_update": "2026-01-06T13:10:57",
"last_owner_update": "1970-01-01T00:00:00",
"last_post": "2026-06-03T10:26:51",
"last_root_post": "2026-06-01T10:30:30",
"last_vote_time": "1970-01-01T00:00:00",
"lifetime_vote_count": 0,
"market_history": [],
"memo_key": "STM89B9W1vrA4YWq9TkSbpZK1BouSaexS8GLDzc7ufiAaq2i8T32Y",
"mined": false,
"name": "velsit",
"next_vesting_withdrawal": "1969-12-31T23:59:59",
"open_recurrent_transfers": 0,
"other_history": [],
"owner": {
"account_auths": [],
"key_auths": [
[
"STM85HsKSiWmNZdNwq7a1U872nAam4GBQgVy3BQYgBaVtn7d4URMm",
1
]
],
"weight_threshold": 1
},
"pending_claimed_accounts": 0,
"pending_transfers": 0,
"post_bandwidth": 0,
"post_count": 127,
"post_history": [],
"post_voting_power": "0.000000 VESTS",
"posting": {
"account_auths": [
[
"ecency.app",
1
],
[
"hive.blog",
1
],
[
"peakd.app",
1
],
[
"www.waivio.com",
1
]
],
"key_auths": [
[
"STM53LsscntrEdizZg73FyNJdYZmJubBjW5Ruzyd5Xr6XSdW986pe",
1
]
],
"weight_threshold": 1
},
"posting_json_metadata": "",
"posting_rewards": 0,
"previous_owner_update": "1970-01-01T00:00:00",
"proxied_vsf_votes": [
0,
0,
0,
0
],
"proxy": "",
"received_vesting_shares": "0.000000 VESTS",
"recovery_account": "leo.voter",
"reputation": 0,
"reset_account": "null",
"reward_hbd_balance": "0.000 HBD",
"reward_hive_balance": "0.000 HIVE",
"reward_vesting_balance": "0.000000 VESTS",
"reward_vesting_hive": "0.000 HIVE",
"savings_balance": "0.000 HIVE",
"savings_hbd_balance": "0.000 HBD",
"savings_hbd_last_interest_payment": "1970-01-01T00:00:00",
"savings_hbd_seconds": "0",
"savings_hbd_seconds_last_update": "1970-01-01T00:00:00",
"savings_withdraw_requests": 0,
"tags_usage": [],
"to_withdraw": 0,
"transfer_history": [],
"vesting_balance": "0.000 HIVE",
"vesting_shares": "0.000000 VESTS",
"vesting_withdraw_rate": "0.000000 VESTS",
"vote_history": [],
"voting_manabar": {
"current_mana": 0,
"last_update_time": 1755010842
},
"voting_power": 0,
"withdraw_routes": 0,
"withdrawn": 0,
"witness_votes": [],
"witnesses_voted_for": 0,
"rank": 0
}Withdraw Routes
| Incoming | Outgoing |
|---|---|
Empty | Empty |
{
"incoming": [],
"outgoing": []
}From Date
To Date
2026/06/06 08:11:12
2026/06/06 08:11:12
| author | velsit |
| permlink | tfuc2l |
| Transaction Info | Block #107030044/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 107030044,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "tfuc2l"
}
],
"op_in_trx": 2,
"timestamp": "2026-06-06T08:11:12",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}2026/06/05 09:22:54
2026/06/05 09:22:54
| author | velsit |
| permlink | artificial-intelligence-in-football-forecasting-a-methodological-overview |
| Transaction Info | Block #107002740/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 107002740,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "artificial-intelligence-in-football-forecasting-a-methodological-overview"
}
],
"op_in_trx": 2,
"timestamp": "2026-06-05T09:22:54",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}velsitupdated payout for tournament-group-analysis-the-strategic2026/06/04 07:21:12
velsitupdated payout for tournament-group-analysis-the-strategic
2026/06/04 07:21:12
| author | velsit |
| permlink | tournament-group-analysis-the-strategic |
| Transaction Info | Block #106971584/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 106971584,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "tournament-group-analysis-the-strategic"
}
],
"op_in_trx": 2,
"timestamp": "2026-06-04T07:21:12",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}spaminatoreffective vote applied for @velsit / re-mayor-001-202663t132646928z2026/06/03 10:27:00
spaminatoreffective vote applied for @velsit / re-mayor-001-202663t132646928z
2026/06/03 10:27:00
| author | velsit |
| pending payout | 0.000 HBD |
| permlink | re-mayor-001-202663t132646928z |
| rshares | -1788687124 |
| total vote weight | 0 |
| voter | spaminator |
| weight | 0 (0.00%) |
| Transaction Info | Block #106946584/Trx 920679d5edaa1d037179a1ccf7adad7ab1db8d37 |
View Raw JSON Data
{
"block": 106946584,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.000 HBD",
"permlink": "re-mayor-001-202663t132646928z",
"rshares": -1788687124,
"total_vote_weight": 0,
"voter": "spaminator",
"weight": 0
}
],
"op_in_trx": 1,
"timestamp": "2026-06-03T10:27:00",
"trx_id": "920679d5edaa1d037179a1ccf7adad7ab1db8d37",
"trx_in_block": 26,
"virtual_op": true
}spaminatorflagged (-0.25%) @velsit / re-mayor-001-202663t132646928z2026/06/03 10:27:00
spaminatorflagged (-0.25%) @velsit / re-mayor-001-202663t132646928z
2026/06/03 10:27:00
| author | velsit |
| permlink | re-mayor-001-202663t132646928z |
| voter | spaminator |
| weight | -25 (-0.25%) |
| Transaction Info | Block #106946584/Trx 920679d5edaa1d037179a1ccf7adad7ab1db8d37 |
View Raw JSON Data
{
"block": 106946584,
"op": [
"vote",
{
"author": "velsit",
"permlink": "re-mayor-001-202663t132646928z",
"voter": "spaminator",
"weight": -25
}
],
"op_in_trx": 0,
"timestamp": "2026-06-03T10:27:00",
"trx_id": "920679d5edaa1d037179a1ccf7adad7ab1db8d37",
"trx_in_block": 26,
"virtual_op": false
}velsitreplied to @mayor-001 / re-mayor-001-202663t132646928z2026/06/03 10:26:54
velsitreplied to @mayor-001 / re-mayor-001-202663t132646928z
2026/06/03 10:26:54
| author | velsit |
| body | The tension of a 0-0 draw and then a 6-2 win in the final match must have been quite a ride for your team. It's interesting how those last-minute results can completely change the standings, and it reminds me of how unpredictable football can be at any level. For keeping up with match dynamics and understanding team form beyond just scores, I've been using [footballpredictionstomorrow.com](https://footballpredictionstomorrow.com/) to get a clearer picture of how different playing styles might match up. It's not about guarantees, but about spotting patterns like defensive stability or attacking consistency that casual viewing might miss. |
| json metadata | {"tags":["hive-150210","cleanplanet","solarisfuture","neoxian","some official","waiv","competition","vyb","ecency"],"app":"ecency/4.3.9-vision","format":"markdown+html"} |
| parent author | mayor-001 |
| parent permlink | summary-of-my-village-football |
| permlink | re-mayor-001-202663t132646928z |
| title | |
| Transaction Info | Block #106946582/Trx 6144e2b1208b75d4e61054ea4e188e0059ca6a93 |
View Raw JSON Data
{
"block": 106946582,
"op": [
"comment",
{
"author": "velsit",
"body": "The tension of a 0-0 draw and then a 6-2 win in the final match must have been quite a ride for your team. It's interesting how those last-minute results can completely change the standings, and it reminds me of how unpredictable football can be at any level. For keeping up with match dynamics and understanding team form beyond just scores, I've been using [footballpredictionstomorrow.com](https://footballpredictionstomorrow.com/) to get a clearer picture of how different playing styles might match up. It's not about guarantees, but about spotting patterns like defensive stability or attacking consistency that casual viewing might miss. ",
"json_metadata": "{\"tags\":[\"hive-150210\",\"cleanplanet\",\"solarisfuture\",\"neoxian\",\"some official\",\"waiv\",\"competition\",\"vyb\",\"ecency\"],\"app\":\"ecency/4.3.9-vision\",\"format\":\"markdown+html\"}",
"parent_author": "mayor-001",
"parent_permlink": "summary-of-my-village-football",
"permlink": "re-mayor-001-202663t132646928z",
"title": ""
}
],
"op_in_trx": 0,
"timestamp": "2026-06-03T10:26:54",
"trx_id": "6144e2b1208b75d4e61054ea4e188e0059ca6a93",
"trx_in_block": 26,
"virtual_op": false
}2026/06/03 07:54:09
2026/06/03 07:54:09
| author | velsit |
| permlink | evaluating-the-role-of-structured-football-forecasting-in-betting-decisions |
| Transaction Info | Block #106943543/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 106943543,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "evaluating-the-role-of-structured-football-forecasting-in-betting-decisions"
}
],
"op_in_trx": 2,
"timestamp": "2026-06-03T07:54:09",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}velsitupdated payout for re-winningred-tfoqyc2026/06/03 07:47:03
velsitupdated payout for re-winningred-tfoqyc
2026/06/03 07:47:03
| author | velsit |
| permlink | re-winningred-tfoqyc |
| Transaction Info | Block #106943402/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 106943402,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "re-winningred-tfoqyc"
}
],
"op_in_trx": 2,
"timestamp": "2026-06-03T07:47:03",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}velsitupdated payout for re-gamersclassified-2026527t103955762z2026/06/03 07:39:57
velsitupdated payout for re-gamersclassified-2026527t103955762z
2026/06/03 07:39:57
| author | velsit |
| permlink | re-gamersclassified-2026527t103955762z |
| Transaction Info | Block #106943262/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 106943262,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "re-gamersclassified-2026527t103955762z"
}
],
"op_in_trx": 2,
"timestamp": "2026-06-03T07:39:57",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}2026/06/03 07:37:33
2026/06/03 07:37:33
| author | velsit |
| permlink | tfoqik |
| Transaction Info | Block #106943214/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 106943214,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "tfoqik"
}
],
"op_in_trx": 2,
"timestamp": "2026-06-03T07:37:33",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}2026/06/02 11:19:42
2026/06/02 11:19:42
| author | velsit |
| permlink | tfn64s |
| Transaction Info | Block #106918962/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 106918962,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "tfn64s"
}
],
"op_in_trx": 2,
"timestamp": "2026-06-02T11:19:42",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}spaminatoreffective vote applied for @velsit / re-cad1020-202661t133431333z2026/06/01 10:34:39
spaminatoreffective vote applied for @velsit / re-cad1020-202661t133431333z
2026/06/01 10:34:39
| author | velsit |
| pending payout | 0.000 HBD |
| permlink | re-cad1020-202661t133431333z |
| rshares | -1788687124 |
| total vote weight | 0 |
| voter | spaminator |
| weight | 0 (0.00%) |
| Transaction Info | Block #106889352/Trx 298ac5c8e7549d9640657c411c50ed5b263c383a |
View Raw JSON Data
{
"block": 106889352,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.000 HBD",
"permlink": "re-cad1020-202661t133431333z",
"rshares": -1788687124,
"total_vote_weight": 0,
"voter": "spaminator",
"weight": 0
}
],
"op_in_trx": 1,
"timestamp": "2026-06-01T10:34:39",
"trx_id": "298ac5c8e7549d9640657c411c50ed5b263c383a",
"trx_in_block": 10,
"virtual_op": true
}spaminatorflagged (-0.25%) @velsit / re-cad1020-202661t133431333z2026/06/01 10:34:39
spaminatorflagged (-0.25%) @velsit / re-cad1020-202661t133431333z
2026/06/01 10:34:39
| author | velsit |
| permlink | re-cad1020-202661t133431333z |
| voter | spaminator |
| weight | -25 (-0.25%) |
| Transaction Info | Block #106889352/Trx 298ac5c8e7549d9640657c411c50ed5b263c383a |
View Raw JSON Data
{
"block": 106889352,
"op": [
"vote",
{
"author": "velsit",
"permlink": "re-cad1020-202661t133431333z",
"voter": "spaminator",
"weight": -25
}
],
"op_in_trx": 0,
"timestamp": "2026-06-01T10:34:39",
"trx_id": "298ac5c8e7549d9640657c411c50ed5b263c383a",
"trx_in_block": 10,
"virtual_op": false
}velsitreplied to @cad1020 / re-cad1020-202661t133431333z2026/06/01 10:34:33
velsitreplied to @cad1020 / re-cad1020-202661t133431333z
2026/06/01 10:34:33
| author | velsit |
| body | I remember watching Bale in his prime, especially that Copa del Rey final run against Barcelona, just unstoppable. Speed like that changes entire games, not just individual moments. Speaking of understanding what changes matches, I've been paying more attention to team analysis lately rather than just player highlights. When I want to get a better sense of how a match might unfold, I check [footballpredictions-today.com](https://footballpredictions-today.com/) for data on form, injuries, and tactical matchups. It's not about guarantees — football's too unpredictable for that — but it helps me spot patterns I might otherwise miss. Knowing which teams perform better at home or how they handle pressure adds a lot of context before kickoff. |
| json metadata | {"tags":["sports","entertainment"],"app":"ecency/4.3.9-vision","format":"markdown+html"} |
| parent author | cad1020 |
| parent permlink | the-fastest-football-players-in-the-world-part-2 |
| permlink | re-cad1020-202661t133431333z |
| title | |
| Transaction Info | Block #106889350/Trx 97d5e027f3ddc0036091310640da94eefba9a33b |
View Raw JSON Data
{
"block": 106889350,
"op": [
"comment",
{
"author": "velsit",
"body": "I remember watching Bale in his prime, especially that Copa del Rey final run against Barcelona, just unstoppable. Speed like that changes entire games, not just individual moments. Speaking of understanding what changes matches, I've been paying more attention to team analysis lately rather than just player highlights. When I want to get a better sense of how a match might unfold, I check [footballpredictions-today.com](https://footballpredictions-today.com/) for data on form, injuries, and tactical matchups. It's not about guarantees — football's too unpredictable for that — but it helps me spot patterns I might otherwise miss. Knowing which teams perform better at home or how they handle pressure adds a lot of context before kickoff. ",
"json_metadata": "{\"tags\":[\"sports\",\"entertainment\"],\"app\":\"ecency/4.3.9-vision\",\"format\":\"markdown+html\"}",
"parent_author": "cad1020",
"parent_permlink": "the-fastest-football-players-in-the-world-part-2",
"permlink": "re-cad1020-202661t133431333z",
"title": ""
}
],
"op_in_trx": 0,
"timestamp": "2026-06-01T10:34:33",
"trx_id": "97d5e027f3ddc0036091310640da94eefba9a33b",
"trx_in_block": 10,
"virtual_op": false
}spaminatoreffective vote applied for @velsit / the-role-of-artificial-intelligence-in-modern-football-betting-analysis2026/06/01 10:30:39
spaminatoreffective vote applied for @velsit / the-role-of-artificial-intelligence-in-modern-football-betting-analysis
2026/06/01 10:30:39
| author | velsit |
| pending payout | 0.000 HBD |
| permlink | the-role-of-artificial-intelligence-in-modern-football-betting-analysis |
| rshares | -1788687124 |
| total vote weight | 0 |
| voter | spaminator |
| weight | 0 (0.00%) |
| Transaction Info | Block #106889272/Trx 74d10e34cd4e14209df60d6701b00ce2ca9a4009 |
View Raw JSON Data
{
"block": 106889272,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.000 HBD",
"permlink": "the-role-of-artificial-intelligence-in-modern-football-betting-analysis",
"rshares": -1788687124,
"total_vote_weight": 0,
"voter": "spaminator",
"weight": 0
}
],
"op_in_trx": 1,
"timestamp": "2026-06-01T10:30:39",
"trx_id": "74d10e34cd4e14209df60d6701b00ce2ca9a4009",
"trx_in_block": 16,
"virtual_op": true
}2026/06/01 10:30:39
2026/06/01 10:30:39
| author | velsit |
| permlink | the-role-of-artificial-intelligence-in-modern-football-betting-analysis |
| voter | spaminator |
| weight | -25 (-0.25%) |
| Transaction Info | Block #106889272/Trx 74d10e34cd4e14209df60d6701b00ce2ca9a4009 |
View Raw JSON Data
{
"block": 106889272,
"op": [
"vote",
{
"author": "velsit",
"permlink": "the-role-of-artificial-intelligence-in-modern-football-betting-analysis",
"voter": "spaminator",
"weight": -25
}
],
"op_in_trx": 0,
"timestamp": "2026-06-01T10:30:39",
"trx_id": "74d10e34cd4e14209df60d6701b00ce2ca9a4009",
"trx_in_block": 16,
"virtual_op": false
}velsitupdated options for the-role-of-artificial-intelligence-in-modern-football-betting-analysis2026/06/01 10:30:33
velsitupdated options for the-role-of-artificial-intelligence-in-modern-football-betting-analysis
2026/06/01 10:30:33
| allow curation rewards | true |
| allow votes | true |
| author | velsit |
| extensions | [] |
| max accepted payout | 1000000.000 HBD |
| percent hbd | 10000 |
| permlink | the-role-of-artificial-intelligence-in-modern-football-betting-analysis |
| Transaction Info | Block #106889270/Trx 30a684cb9978d770ada4b2a162a4109a8c6f07db |
View Raw JSON Data
{
"block": 106889270,
"op": [
"comment_options",
{
"allow_curation_rewards": true,
"allow_votes": true,
"author": "velsit",
"extensions": [],
"max_accepted_payout": "1000000.000 HBD",
"percent_hbd": 10000,
"permlink": "the-role-of-artificial-intelligence-in-modern-football-betting-analysis"
}
],
"op_in_trx": 1,
"timestamp": "2026-06-01T10:30:33",
"trx_id": "30a684cb9978d770ada4b2a162a4109a8c6f07db",
"trx_in_block": 2,
"virtual_op": false
}velsitpublished a new post: the-role-of-artificial-intelligence-in-modern-football-betting-analysis2026/06/01 10:30:33
velsitpublished a new post: the-role-of-artificial-intelligence-in-modern-football-betting-analysis
2026/06/01 10:30:33
| author | velsit |
| body | The integration of machine learning into sports forecasting has fundamentally changed how analysts and bettors approach football matches. Traditional methods — relying on subjective opinion, basic form tables, or isolated statistical snapshots — are increasingly supplemented by AI-driven models capable of processing vast datasets: historical match results, head-to-head records, home and away performance differentials, attacking and defensive efficiency metrics, and even real-time factors such as injuries or schedule pressure. For professional users, the value lies in consistency: a structured, data-backed baseline that applies the same rigorous criteria across thousands of matches annually. However, the growing number of AI prediction platforms demands critical evaluation. The key differentiators include data quality, model transparency, the ability to account for competition-specific variables (league seasons versus knockout tournaments), and honest communication of probabilistic uncertainty. One platform that attempts to provide this structured analytical framework is <a href="https://soccerpredictionai.com/">soccerpredictionai.com featuring smart betting insights for football</a>. The service describes a methodology centered on multi-layered analysis: AI models process statistical performance data, recent team form, head-to-head records, home and away efficiency trends, and bookmaker odds to estimate outcome probabilities. Unlike platforms that present simple win/loss picks, this approach emphasizes probability percentages and acknowledges that even the most sophisticated models cannot eliminate football’s inherent randomness. The analysis adapts to different competition structures: league phases prioritize long-term performance trends, while knockout matches give greater weight to situational context and risk management. The platform also notes that free access allows users to test AI performance across different competitions before committing financially — a feature aligned with professional best practices of validating tools over large sample sizes. The FAQ section honestly addresses that no single AI predictor can be objectively called the best, as effectiveness depends on data quality, model structure, feature selection, and continuous updating — a level of transparency that distinguishes serious analytical tools from marketing-driven content. No AI prediction system can guarantee accuracy across all leagues and seasons. Results vary depending on competition level, data depth, and model refinement. Professional users of AI forecasting tools therefore treat their outputs as informed guidance — a defensible baseline for deeper analysis rather than a definitive verdict. The most effective approach combines AI-generated probabilities with qualitative intelligence: team news, tactical observations, motivational factors, and real-time market movements. As football analytics continues to evolve, platforms that prioritize methodological transparency, publish historical performance data, and express predictions as probabilistic ranges rather than false certainties will remain valuable resources for analysts and bettors seeking defensible baselines for their decisions. For those evaluating AI prediction tools, the focus should remain on long-term consistency, model explainability, and the integration of AI insights into a broader, responsible betting strategy. Resources like the one described offer a useful reference point for understanding how artificial intelligence is being applied to football forecasting, but users should always exercise independent judgment and recognize that even the most sophisticated models cannot predict the unpredictable nature of football. |
| json metadata | {"tags":["football"],"links":["https://soccerpredictionai.com/"],"app":"hiveblog/0.1","format":"markdown"} |
| parent author | |
| parent permlink | football |
| permlink | the-role-of-artificial-intelligence-in-modern-football-betting-analysis |
| title | The Role of Artificial Intelligence in Modern Football Betting Analysis |
| Transaction Info | Block #106889270/Trx 30a684cb9978d770ada4b2a162a4109a8c6f07db |
View Raw JSON Data
{
"block": 106889270,
"op": [
"comment",
{
"author": "velsit",
"body": "The integration of machine learning into sports forecasting has fundamentally changed how analysts and bettors approach football matches. Traditional methods — relying on subjective opinion, basic form tables, or isolated statistical snapshots — are increasingly supplemented by AI-driven models capable of processing vast datasets: historical match results, head-to-head records, home and away performance differentials, attacking and defensive efficiency metrics, and even real-time factors such as injuries or schedule pressure. For professional users, the value lies in consistency: a structured, data-backed baseline that applies the same rigorous criteria across thousands of matches annually. However, the growing number of AI prediction platforms demands critical evaluation. The key differentiators include data quality, model transparency, the ability to account for competition-specific variables (league seasons versus knockout tournaments), and honest communication of probabilistic uncertainty.\n\nOne platform that attempts to provide this structured analytical framework is <a href=\"https://soccerpredictionai.com/\">soccerpredictionai.com featuring smart betting insights for football</a>. The service describes a methodology centered on multi-layered analysis: AI models process statistical performance data, recent team form, head-to-head records, home and away efficiency trends, and bookmaker odds to estimate outcome probabilities. Unlike platforms that present simple win/loss picks, this approach emphasizes probability percentages and acknowledges that even the most sophisticated models cannot eliminate football’s inherent randomness. The analysis adapts to different competition structures: league phases prioritize long-term performance trends, while knockout matches give greater weight to situational context and risk management. The platform also notes that free access allows users to test AI performance across different competitions before committing financially — a feature aligned with professional best practices of validating tools over large sample sizes. The FAQ section honestly addresses that no single AI predictor can be objectively called the best, as effectiveness depends on data quality, model structure, feature selection, and continuous updating — a level of transparency that distinguishes serious analytical tools from marketing-driven content.\n\nNo AI prediction system can guarantee accuracy across all leagues and seasons. Results vary depending on competition level, data depth, and model refinement. Professional users of AI forecasting tools therefore treat their outputs as informed guidance — a defensible baseline for deeper analysis rather than a definitive verdict. The most effective approach combines AI-generated probabilities with qualitative intelligence: team news, tactical observations, motivational factors, and real-time market movements. As football analytics continues to evolve, platforms that prioritize methodological transparency, publish historical performance data, and express predictions as probabilistic ranges rather than false certainties will remain valuable resources for analysts and bettors seeking defensible baselines for their decisions. For those evaluating AI prediction tools, the focus should remain on long-term consistency, model explainability, and the integration of AI insights into a broader, responsible betting strategy. Resources like the one described offer a useful reference point for understanding how artificial intelligence is being applied to football forecasting, but users should always exercise independent judgment and recognize that even the most sophisticated models cannot predict the unpredictable nature of football.",
"json_metadata": "{\"tags\":[\"football\"],\"links\":[\"https://soccerpredictionai.com/\"],\"app\":\"hiveblog/0.1\",\"format\":\"markdown\"}",
"parent_author": "",
"parent_permlink": "football",
"permlink": "the-role-of-artificial-intelligence-in-modern-football-betting-analysis",
"title": "The Role of Artificial Intelligence in Modern Football Betting Analysis"
}
],
"op_in_trx": 0,
"timestamp": "2026-06-01T10:30:33",
"trx_id": "30a684cb9978d770ada4b2a162a4109a8c6f07db",
"trx_in_block": 2,
"virtual_op": false
}spaminatoreffective vote applied for @velsit / tfuc2l2026/05/30 08:11:21
spaminatoreffective vote applied for @velsit / tfuc2l
2026/05/30 08:11:21
| author | velsit |
| pending payout | 0.000 HBD |
| permlink | tfuc2l |
| rshares | -1785545166 |
| total vote weight | 0 |
| voter | spaminator |
| weight | 0 (0.00%) |
| Transaction Info | Block #106829166/Trx 18ae7af950c318af141de538e57148ef31d31f0c |
View Raw JSON Data
{
"block": 106829166,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.000 HBD",
"permlink": "tfuc2l",
"rshares": -1785545166,
"total_vote_weight": 0,
"voter": "spaminator",
"weight": 0
}
],
"op_in_trx": 1,
"timestamp": "2026-05-30T08:11:21",
"trx_id": "18ae7af950c318af141de538e57148ef31d31f0c",
"trx_in_block": 4,
"virtual_op": true
}spaminatorflagged (-0.25%) @velsit / tfuc2l2026/05/30 08:11:21
spaminatorflagged (-0.25%) @velsit / tfuc2l
2026/05/30 08:11:21
| author | velsit |
| permlink | tfuc2l |
| voter | spaminator |
| weight | -25 (-0.25%) |
| Transaction Info | Block #106829166/Trx 18ae7af950c318af141de538e57148ef31d31f0c |
View Raw JSON Data
{
"block": 106829166,
"op": [
"vote",
{
"author": "velsit",
"permlink": "tfuc2l",
"voter": "spaminator",
"weight": -25
}
],
"op_in_trx": 0,
"timestamp": "2026-05-30T08:11:21",
"trx_id": "18ae7af950c318af141de538e57148ef31d31f0c",
"trx_in_block": 4,
"virtual_op": false
}2026/05/30 08:11:15
2026/05/30 08:11:15
| allow curation rewards | true |
| allow votes | true |
| author | velsit |
| extensions | [] |
| max accepted payout | 1000000.000 HBD |
| percent hbd | 10000 |
| permlink | tfuc2l |
| Transaction Info | Block #106829164/Trx 7403e7ac52a4dc73e85dfdae06bd8e070b935459 |
View Raw JSON Data
{
"block": 106829164,
"op": [
"comment_options",
{
"allow_curation_rewards": true,
"allow_votes": true,
"author": "velsit",
"extensions": [],
"max_accepted_payout": "1000000.000 HBD",
"percent_hbd": 10000,
"permlink": "tfuc2l"
}
],
"op_in_trx": 1,
"timestamp": "2026-05-30T08:11:15",
"trx_id": "7403e7ac52a4dc73e85dfdae06bd8e070b935459",
"trx_in_block": 3,
"virtual_op": false
}2026/05/30 08:11:15
2026/05/30 08:11:15
| author | velsit |
| body | I really enjoyed this trip down memory lane — seeing those lineups reminds me how much football has changed over the years. That 2009 Barcelona squad was something else, and honestly, I don't think we'll ever see a team dominate possession quite like that again. It's interesting to compare those legendary sides with how modern teams are shaping up for the upcoming World Cup. When I'm trying to make sense of current form or potential upsets, <a href="https://worldcuppredictions.toda">I cross-check stats on worldcuppredictions.today</a> to get a clearer picture of tournament dynamics. It's not about nostalgia — it's about understanding patterns like goal averages and how teams perform under pressure in knockout games. |
| json metadata | {"links":["https://worldcuppredictions.toda"],"app":"hiveblog/0.1"} |
| parent author | iyiade |
| parent permlink | top-9-greatest-football-line-up-in-football-history-check-where-your-team-is |
| permlink | tfuc2l |
| title | |
| Transaction Info | Block #106829164/Trx 7403e7ac52a4dc73e85dfdae06bd8e070b935459 |
View Raw JSON Data
{
"block": 106829164,
"op": [
"comment",
{
"author": "velsit",
"body": "I really enjoyed this trip down memory lane — seeing those lineups reminds me how much football has changed over the years. That 2009 Barcelona squad was something else, and honestly, I don't think we'll ever see a team dominate possession quite like that again. It's interesting to compare those legendary sides with how modern teams are shaping up for the upcoming World Cup. When I'm trying to make sense of current form or potential upsets, <a href=\"https://worldcuppredictions.toda\">I cross-check stats on worldcuppredictions.today</a>\n to get a clearer picture of tournament dynamics. It's not about nostalgia — it's about understanding patterns like goal averages and how teams perform under pressure in knockout games.",
"json_metadata": "{\"links\":[\"https://worldcuppredictions.toda\"],\"app\":\"hiveblog/0.1\"}",
"parent_author": "iyiade",
"parent_permlink": "top-9-greatest-football-line-up-in-football-history-check-where-your-team-is",
"permlink": "tfuc2l",
"title": ""
}
],
"op_in_trx": 0,
"timestamp": "2026-05-30T08:11:15",
"trx_id": "7403e7ac52a4dc73e85dfdae06bd8e070b935459",
"trx_in_block": 3,
"virtual_op": false
}psychophiloeffective vote applied for @velsit / artificial-intelligence-in-football-forecasting-a-methodological-overview2026/05/29 09:31:21
psychophiloeffective vote applied for @velsit / artificial-intelligence-in-football-forecasting-a-methodological-overview
2026/05/29 09:31:21
| author | velsit |
| pending payout | 0.001 HBD |
| permlink | artificial-intelligence-in-football-forecasting-a-methodological-overview |
| rshares | 0 |
| total vote weight | 16647907287 |
| voter | psychophilo |
| weight | 0 (0.00%) |
| Transaction Info | Block #106802123/Trx aa2feb25bc5f4048952e9793ff42f8f6a8bf3280 |
View Raw JSON Data
{
"block": 106802123,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.001 HBD",
"permlink": "artificial-intelligence-in-football-forecasting-a-methodological-overview",
"rshares": 0,
"total_vote_weight": 16647907287,
"voter": "psychophilo",
"weight": 0
}
],
"op_in_trx": 3,
"timestamp": "2026-05-29T09:31:21",
"trx_id": "aa2feb25bc5f4048952e9793ff42f8f6a8bf3280",
"trx_in_block": 3,
"virtual_op": true
}2026/05/29 09:31:21
2026/05/29 09:31:21
| author | velsit |
| permlink | artificial-intelligence-in-football-forecasting-a-methodological-overview |
| voter | psychophilo |
| weight | 250 (2.50%) |
| Transaction Info | Block #106802123/Trx aa2feb25bc5f4048952e9793ff42f8f6a8bf3280 |
View Raw JSON Data
{
"block": 106802123,
"op": [
"vote",
{
"author": "velsit",
"permlink": "artificial-intelligence-in-football-forecasting-a-methodological-overview",
"voter": "psychophilo",
"weight": 250
}
],
"op_in_trx": 2,
"timestamp": "2026-05-29T09:31:21",
"trx_id": "aa2feb25bc5f4048952e9793ff42f8f6a8bf3280",
"trx_in_block": 3,
"virtual_op": false
}hive-103505effective vote applied for @velsit / artificial-intelligence-in-football-forecasting-a-methodological-overview2026/05/29 09:31:21
hive-103505effective vote applied for @velsit / artificial-intelligence-in-football-forecasting-a-methodological-overview
2026/05/29 09:31:21
| author | velsit |
| pending payout | 0.001 HBD |
| permlink | artificial-intelligence-in-football-forecasting-a-methodological-overview |
| rshares | 450320822 |
| total vote weight | 16647907287 |
| voter | hive-103505 |
| weight | 450320822 |
| Transaction Info | Block #106802123/Trx aa2feb25bc5f4048952e9793ff42f8f6a8bf3280 |
View Raw JSON Data
{
"block": 106802123,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.001 HBD",
"permlink": "artificial-intelligence-in-football-forecasting-a-methodological-overview",
"rshares": 450320822,
"total_vote_weight": 16647907287,
"voter": "hive-103505",
"weight": 450320822
}
],
"op_in_trx": 1,
"timestamp": "2026-05-29T09:31:21",
"trx_id": "aa2feb25bc5f4048952e9793ff42f8f6a8bf3280",
"trx_in_block": 3,
"virtual_op": true
}2026/05/29 09:31:21
2026/05/29 09:31:21
| author | velsit |
| permlink | artificial-intelligence-in-football-forecasting-a-methodological-overview |
| voter | hive-103505 |
| weight | 250 (2.50%) |
| Transaction Info | Block #106802123/Trx aa2feb25bc5f4048952e9793ff42f8f6a8bf3280 |
View Raw JSON Data
{
"block": 106802123,
"op": [
"vote",
{
"author": "velsit",
"permlink": "artificial-intelligence-in-football-forecasting-a-methodological-overview",
"voter": "hive-103505",
"weight": 250
}
],
"op_in_trx": 0,
"timestamp": "2026-05-29T09:31:21",
"trx_id": "aa2feb25bc5f4048952e9793ff42f8f6a8bf3280",
"trx_in_block": 3,
"virtual_op": false
}we-are-aieffective vote applied for @velsit / artificial-intelligence-in-football-forecasting-a-methodological-overview2026/05/29 09:31:12
we-are-aieffective vote applied for @velsit / artificial-intelligence-in-football-forecasting-a-methodological-overview
2026/05/29 09:31:12
| author | velsit |
| pending payout | 0.001 HBD |
| permlink | artificial-intelligence-in-football-forecasting-a-methodological-overview |
| rshares | 16197586465 |
| total vote weight | 16197586465 |
| voter | we-are-ai |
| weight | 16197586465 |
| Transaction Info | Block #106802120/Trx 89a2cead943aa2545e136ce10ea6eb01c8c3a9de |
View Raw JSON Data
{
"block": 106802120,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.001 HBD",
"permlink": "artificial-intelligence-in-football-forecasting-a-methodological-overview",
"rshares": 16197586465,
"total_vote_weight": 16197586465,
"voter": "we-are-ai",
"weight": 16197586465
}
],
"op_in_trx": 1,
"timestamp": "2026-05-29T09:31:12",
"trx_id": "89a2cead943aa2545e136ce10ea6eb01c8c3a9de",
"trx_in_block": 2,
"virtual_op": true
}2026/05/29 09:31:12
2026/05/29 09:31:12
| author | velsit |
| permlink | artificial-intelligence-in-football-forecasting-a-methodological-overview |
| voter | we-are-ai |
| weight | 250 (2.50%) |
| Transaction Info | Block #106802120/Trx 89a2cead943aa2545e136ce10ea6eb01c8c3a9de |
View Raw JSON Data
{
"block": 106802120,
"op": [
"vote",
{
"author": "velsit",
"permlink": "artificial-intelligence-in-football-forecasting-a-methodological-overview",
"voter": "we-are-ai",
"weight": 250
}
],
"op_in_trx": 0,
"timestamp": "2026-05-29T09:31:12",
"trx_id": "89a2cead943aa2545e136ce10ea6eb01c8c3a9de",
"trx_in_block": 2,
"virtual_op": false
}spaminatoreffective vote applied for @velsit / artificial-intelligence-in-football-forecasting-a-methodological-overview2026/05/29 09:23:00
spaminatoreffective vote applied for @velsit / artificial-intelligence-in-football-forecasting-a-methodological-overview
2026/05/29 09:23:00
| author | velsit |
| pending payout | 0.000 HBD |
| permlink | artificial-intelligence-in-football-forecasting-a-methodological-overview |
| rshares | -1785545166 |
| total vote weight | 0 |
| voter | spaminator |
| weight | 0 (0.00%) |
| Transaction Info | Block #106801958/Trx b7d02f91c3a07c63acd022472111fe35801d8e97 |
View Raw JSON Data
{
"block": 106801958,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.000 HBD",
"permlink": "artificial-intelligence-in-football-forecasting-a-methodological-overview",
"rshares": -1785545166,
"total_vote_weight": 0,
"voter": "spaminator",
"weight": 0
}
],
"op_in_trx": 1,
"timestamp": "2026-05-29T09:23:00",
"trx_id": "b7d02f91c3a07c63acd022472111fe35801d8e97",
"trx_in_block": 35,
"virtual_op": true
}2026/05/29 09:23:00
2026/05/29 09:23:00
| author | velsit |
| permlink | artificial-intelligence-in-football-forecasting-a-methodological-overview |
| voter | spaminator |
| weight | -25 (-0.25%) |
| Transaction Info | Block #106801958/Trx b7d02f91c3a07c63acd022472111fe35801d8e97 |
View Raw JSON Data
{
"block": 106801958,
"op": [
"vote",
{
"author": "velsit",
"permlink": "artificial-intelligence-in-football-forecasting-a-methodological-overview",
"voter": "spaminator",
"weight": -25
}
],
"op_in_trx": 0,
"timestamp": "2026-05-29T09:23:00",
"trx_id": "b7d02f91c3a07c63acd022472111fe35801d8e97",
"trx_in_block": 35,
"virtual_op": false
}velsitpublished a new post: artificial-intelligence-in-football-forecasting-a-methodological-overview2026/05/29 09:22:57
velsitpublished a new post: artificial-intelligence-in-football-forecasting-a-methodological-overview
2026/05/29 09:22:57
| author | velsit |
| body | The application of machine learning to football prediction has moved from experimental curiosity to practical tool. Unlike traditional forecasting methods that rely heavily on subjective opinion, basic form tables, or isolated statistical snapshots, AI-driven models can process vast datasets — historical match results, head-to-head records, home and away performance differentials, attacking and defensive efficiency metrics, and even real-time factors such as injuries or schedule pressure. For professional analysts and serious bettors, the value lies in consistency: a structured, data-backed baseline that applies the same rigorous criteria across thousands of matches annually. However, the growing number of AI prediction platforms demands critical evaluation. The key differentiators lie in data quality, model transparency, the ability to account for competition-specific variables (league seasons versus knockout tournaments), and honest communication of probabilistic uncertainty. One platform that attempts to provide this structured approach is [soccerpredictionai.com](https://soccerpredictionai.com/). The service describes a methodology centered on multi-layered analysis: AI models process statistical performance data, recent team form, head-to-head records, home and away efficiency trends, and bookmaker odds to estimate outcome probabilities. Unlike platforms that present simple win/loss picks, this approach emphasizes probability percentages and acknowledges that even the most sophisticated models cannot eliminate football’s inherent randomness. The analysis adapts to different competition structures: league phases prioritize long-term performance trends, while knockout matches give greater weight to situational context and risk management. The platform also notes that free access allows users to test AI performance across different competitions before committing financially — a feature aligned with professional best practices of validating tools over large sample sizes. The FAQ section honestly addresses that no single AI predictor can be objectively called the best, as effectiveness depends on data quality, model structure, feature selection, and continuous updating — a level of transparency that distinguishes serious analytical tools from marketing-driven content. No AI prediction system can guarantee accuracy across all leagues and seasons. Results vary depending on competition level, data depth, and model refinement. Professional users of AI forecasting tools therefore treat their outputs as informed guidance — a defensible baseline for deeper analysis rather than a definitive verdict. The most effective approach combines AI-generated probabilities with qualitative intelligence: team news, tactical observations, motivational factors, and real-time market movements. As football analytics continues to evolve, platforms that prioritize methodological transparency, publish historical performance data, and express predictions as probabilistic ranges rather than false certainties will remain valuable resources for analysts and bettors seeking defensible baselines for their decisions. For those evaluating AI prediction tools, the focus should remain on long-term consistency, model explainability, and the integration of AI insights into a broader, responsible betting strategy. Resources like soccerpredictionai.com offer a useful reference point for understanding how artificial intelligence is being applied to football forecasting, but users should always exercise independent judgment and recognize that even the most sophisticated models cannot predict the unpredictable nature of football. |
| json metadata | {"app":"peakd/2026.5.7","format":"markdown","tags":["football"],"users":[],"image":[]} |
| parent author | |
| parent permlink | football |
| permlink | artificial-intelligence-in-football-forecasting-a-methodological-overview |
| title | Artificial Intelligence in Football Forecasting: A Methodological Overview |
| Transaction Info | Block #106801957/Trx b7206d733ead47a4ad3e5d548d284d549369b208 |
View Raw JSON Data
{
"block": 106801957,
"op": [
"comment",
{
"author": "velsit",
"body": "The application of machine learning to football prediction has moved from experimental curiosity to practical tool. Unlike traditional forecasting methods that rely heavily on subjective opinion, basic form tables, or isolated statistical snapshots, AI-driven models can process vast datasets — historical match results, head-to-head records, home and away performance differentials, attacking and defensive efficiency metrics, and even real-time factors such as injuries or schedule pressure. For professional analysts and serious bettors, the value lies in consistency: a structured, data-backed baseline that applies the same rigorous criteria across thousands of matches annually. However, the growing number of AI prediction platforms demands critical evaluation. The key differentiators lie in data quality, model transparency, the ability to account for competition-specific variables (league seasons versus knockout tournaments), and honest communication of probabilistic uncertainty.\n\nOne platform that attempts to provide this structured approach is [soccerpredictionai.com](https://soccerpredictionai.com/). The service describes a methodology centered on multi-layered analysis: AI models process statistical performance data, recent team form, head-to-head records, home and away efficiency trends, and bookmaker odds to estimate outcome probabilities. Unlike platforms that present simple win/loss picks, this approach emphasizes probability percentages and acknowledges that even the most sophisticated models cannot eliminate football’s inherent randomness. The analysis adapts to different competition structures: league phases prioritize long-term performance trends, while knockout matches give greater weight to situational context and risk management. The platform also notes that free access allows users to test AI performance across different competitions before committing financially — a feature aligned with professional best practices of validating tools over large sample sizes. The FAQ section honestly addresses that no single AI predictor can be objectively called the best, as effectiveness depends on data quality, model structure, feature selection, and continuous updating — a level of transparency that distinguishes serious analytical tools from marketing-driven content.\n\nNo AI prediction system can guarantee accuracy across all leagues and seasons. Results vary depending on competition level, data depth, and model refinement. Professional users of AI forecasting tools therefore treat their outputs as informed guidance — a defensible baseline for deeper analysis rather than a definitive verdict. The most effective approach combines AI-generated probabilities with qualitative intelligence: team news, tactical observations, motivational factors, and real-time market movements. As football analytics continues to evolve, platforms that prioritize methodological transparency, publish historical performance data, and express predictions as probabilistic ranges rather than false certainties will remain valuable resources for analysts and bettors seeking defensible baselines for their decisions. For those evaluating AI prediction tools, the focus should remain on long-term consistency, model explainability, and the integration of AI insights into a broader, responsible betting strategy. Resources like soccerpredictionai.com offer a useful reference point for understanding how artificial intelligence is being applied to football forecasting, but users should always exercise independent judgment and recognize that even the most sophisticated models cannot predict the unpredictable nature of football.",
"json_metadata": "{\"app\":\"peakd/2026.5.7\",\"format\":\"markdown\",\"tags\":[\"football\"],\"users\":[],\"image\":[]}",
"parent_author": "",
"parent_permlink": "football",
"permlink": "artificial-intelligence-in-football-forecasting-a-methodological-overview",
"title": "Artificial Intelligence in Football Forecasting: A Methodological Overview"
}
],
"op_in_trx": 0,
"timestamp": "2026-05-29T09:22:57",
"trx_id": "b7206d733ead47a4ad3e5d548d284d549369b208",
"trx_in_block": 24,
"virtual_op": false
}velsitupdated payout for re-allfabeta-2026521t112435729z2026/05/28 08:24:42
velsitupdated payout for re-allfabeta-2026521t112435729z
2026/05/28 08:24:42
| author | velsit |
| permlink | re-allfabeta-2026521t112435729z |
| Transaction Info | Block #106772065/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 106772065,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "re-allfabeta-2026521t112435729z"
}
],
"op_in_trx": 2,
"timestamp": "2026-05-28T08:24:42",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}spaminatoreffective vote applied for @velsit / tournament-group-analysis-the-strategic2026/05/28 07:21:21
spaminatoreffective vote applied for @velsit / tournament-group-analysis-the-strategic
2026/05/28 07:21:21
| author | velsit |
| pending payout | 0.000 HBD |
| permlink | tournament-group-analysis-the-strategic |
| rshares | -1785545166 |
| total vote weight | 0 |
| voter | spaminator |
| weight | 0 (0.00%) |
| Transaction Info | Block #106770802/Trx b5ad6205c902764f102a3a43dc7cee4cfe7542c8 |
View Raw JSON Data
{
"block": 106770802,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.000 HBD",
"permlink": "tournament-group-analysis-the-strategic",
"rshares": -1785545166,
"total_vote_weight": 0,
"voter": "spaminator",
"weight": 0
}
],
"op_in_trx": 1,
"timestamp": "2026-05-28T07:21:21",
"trx_id": "b5ad6205c902764f102a3a43dc7cee4cfe7542c8",
"trx_in_block": 8,
"virtual_op": true
}spaminatorflagged (-0.25%) @velsit / tournament-group-analysis-the-strategic2026/05/28 07:21:21
spaminatorflagged (-0.25%) @velsit / tournament-group-analysis-the-strategic
2026/05/28 07:21:21
| author | velsit |
| permlink | tournament-group-analysis-the-strategic |
| voter | spaminator |
| weight | -25 (-0.25%) |
| Transaction Info | Block #106770802/Trx b5ad6205c902764f102a3a43dc7cee4cfe7542c8 |
View Raw JSON Data
{
"block": 106770802,
"op": [
"vote",
{
"author": "velsit",
"permlink": "tournament-group-analysis-the-strategic",
"voter": "spaminator",
"weight": -25
}
],
"op_in_trx": 0,
"timestamp": "2026-05-28T07:21:21",
"trx_id": "b5ad6205c902764f102a3a43dc7cee4cfe7542c8",
"trx_in_block": 8,
"virtual_op": false
}velsitpublished a new post: tournament-group-analysis-the-strategic2026/05/28 07:21:15
velsitpublished a new post: tournament-group-analysis-the-strategic
2026/05/28 07:21:15
| author | velsit |
| body | The 2026 FIFA World Cup introduces a new competitive landscape with its expanded 48-team format and three-nation hosting arrangement across the United States, Canada, and Mexico. For analysts and bettors, this creates both opportunities and challenges. Traditional forecasting models that rely solely on historical reputation or world rankings are insufficient. Instead, a robust approach requires integrating recent team form, tactical identity, squad depth, and the unique logistical factors of North American venues — travel distances, climate variation, and rest differentials. Among the tournament’s eight groups, some present particularly intriguing analytical puzzles due to the balance between competing styles and the influence of host nation dynamics. One such group is Group D, and [fifaworldcuppredictions2026.com lists free WC Group D 2026 predictions](https://fifaworldcuppredictions2026.com/group-d/) that provide a structured starting point for evaluating this diverse quartet. The group features the United States (host nation with home advantage, physical intensity, and balanced tactics), Paraguay (defensively organized, structured play, reliant on limiting space and capitalizing on key moments), Australia (disciplined, resilient, adaptable collective effort), and Turkey (intensity, technical quality, organizational discipline in demanding matches). The platform’s analysis focuses on measurable performance indicators: recent match results, scoring trends, defensive stability, head-to-head records where available, squad depth, and bookmaker odds. Unlike generic tournament previews that emphasize reputation, this resource applies consistent analytical criteria to each team, allowing users to compare how different tactical identities — structured defense versus adaptive resilience versus host-nation intensity — may interact across three matchdays. The inclusion of betting market trends as a secondary reference helps identify potential value rather than simply endorsing favorites. No forecasting model can eliminate football’s inherent randomness, particularly in a group where matches may be decided by small margins. A single deflected shot, controversial VAR decision, or untimely injury can reshape qualification scenarios. Professional users of specialized tournament forecasting tools treat their outputs as informed guidance — a defensible baseline for deeper analysis rather than a definitive verdict. The most effective approach combines structured predictions with independent judgment, paying attention to late-breaking team news, motivational factors (e.g., which teams need a result from each match), and real-time odds movements. As the 2026 World Cup approaches, the demand for transparent, methodologically consistent, and competition-specific forecasting tools will likely grow. Platforms that prioritize analytical clarity, acknowledge uncertainty, and provide free access to foundational group previews — such as the Group D analysis reviewed here — offer valuable resources for bettors and analysts seeking defensible baselines for their tournament betting decisions. The balanced nature of this group, with no overwhelming favorite and multiple styles in play, makes it a particularly useful case study for testing the practical value of data-driven tournament forecasting. |
| json metadata | {"app":"ecency/4.3.9-vision","tags":["football"],"format":"markdown+html","description":"The 2026 FIFA World Cup introduces a new competitive landscape with its expanded 48-team format and three-nation hosting arrangement across the United States, Canada, and Mexico. For analysts and bettors,","links":[],"links_meta":{},"image":[],"image_ratios":[]} |
| parent author | |
| parent permlink | football |
| permlink | tournament-group-analysis-the-strategic |
| title | Tournament Group Analysis: The Strategic Complexity of World Cup Group D |
| Transaction Info | Block #106770800/Trx 810bd038679e364de67d1852adceffff67ed4bc7 |
View Raw JSON Data
{
"block": 106770800,
"op": [
"comment",
{
"author": "velsit",
"body": "The 2026 FIFA World Cup introduces a new competitive landscape with its expanded 48-team format and three-nation hosting arrangement across the United States, Canada, and Mexico. For analysts and bettors, this creates both opportunities and challenges. Traditional forecasting models that rely solely on historical reputation or world rankings are insufficient. Instead, a robust approach requires integrating recent team form, tactical identity, squad depth, and the unique logistical factors of North American venues — travel distances, climate variation, and rest differentials. Among the tournament’s eight groups, some present particularly intriguing analytical puzzles due to the balance between competing styles and the influence of host nation dynamics.\n\nOne such group is Group D, and [fifaworldcuppredictions2026.com lists free WC Group D 2026 predictions](https://fifaworldcuppredictions2026.com/group-d/) that provide a structured starting point for evaluating this diverse quartet. The group features the United States (host nation with home advantage, physical intensity, and balanced tactics), Paraguay (defensively organized, structured play, reliant on limiting space and capitalizing on key moments), Australia (disciplined, resilient, adaptable collective effort), and Turkey (intensity, technical quality, organizational discipline in demanding matches). The platform’s analysis focuses on measurable performance indicators: recent match results, scoring trends, defensive stability, head-to-head records where available, squad depth, and bookmaker odds. Unlike generic tournament previews that emphasize reputation, this resource applies consistent analytical criteria to each team, allowing users to compare how different tactical identities — structured defense versus adaptive resilience versus host-nation intensity — may interact across three matchdays. The inclusion of betting market trends as a secondary reference helps identify potential value rather than simply endorsing favorites.\n\nNo forecasting model can eliminate football’s inherent randomness, particularly in a group where matches may be decided by small margins. A single deflected shot, controversial VAR decision, or untimely injury can reshape qualification scenarios. Professional users of specialized tournament forecasting tools treat their outputs as informed guidance — a defensible baseline for deeper analysis rather than a definitive verdict. The most effective approach combines structured predictions with independent judgment, paying attention to late-breaking team news, motivational factors (e.g., which teams need a result from each match), and real-time odds movements. As the 2026 World Cup approaches, the demand for transparent, methodologically consistent, and competition-specific forecasting tools will likely grow. Platforms that prioritize analytical clarity, acknowledge uncertainty, and provide free access to foundational group previews — such as the Group D analysis reviewed here — offer valuable resources for bettors and analysts seeking defensible baselines for their tournament betting decisions. The balanced nature of this group, with no overwhelming favorite and multiple styles in play, makes it a particularly useful case study for testing the practical value of data-driven tournament forecasting.",
"json_metadata": "{\"app\":\"ecency/4.3.9-vision\",\"tags\":[\"football\"],\"format\":\"markdown+html\",\"description\":\"The 2026 FIFA World Cup introduces a new competitive landscape with its expanded 48-team format and three-nation hosting arrangement across the United States, Canada, and Mexico. For analysts and bettors,\",\"links\":[],\"links_meta\":{},\"image\":[],\"image_ratios\":[]}",
"parent_author": "",
"parent_permlink": "football",
"permlink": "tournament-group-analysis-the-strategic",
"title": "Tournament Group Analysis: The Strategic Complexity of World Cup Group D\n"
}
],
"op_in_trx": 0,
"timestamp": "2026-05-28T07:21:15",
"trx_id": "810bd038679e364de67d1852adceffff67ed4bc7",
"trx_in_block": 6,
"virtual_op": false
}2026/05/27 08:57:30
2026/05/27 08:57:30
| author | velsit |
| permlink | tfbvjp |
| Transaction Info | Block #106743989/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 106743989,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "tfbvjp"
}
],
"op_in_trx": 2,
"timestamp": "2026-05-27T08:57:30",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}psychophiloeffective vote applied for @velsit / evaluating-the-role-of-structured-football-forecasting-in-betting-decisions2026/05/27 08:03:21
psychophiloeffective vote applied for @velsit / evaluating-the-role-of-structured-football-forecasting-in-betting-decisions
2026/05/27 08:03:21
| author | velsit |
| pending payout | 0.001 HBD |
| permlink | evaluating-the-role-of-structured-football-forecasting-in-betting-decisions |
| rshares | 0 |
| total vote weight | 16842307485 |
| voter | psychophilo |
| weight | 0 (0.00%) |
| Transaction Info | Block #106742910/Trx a302cc2fdce35102aa80f81a414fccbfa609639b |
View Raw JSON Data
{
"block": 106742910,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.001 HBD",
"permlink": "evaluating-the-role-of-structured-football-forecasting-in-betting-decisions",
"rshares": 0,
"total_vote_weight": 16842307485,
"voter": "psychophilo",
"weight": 0
}
],
"op_in_trx": 3,
"timestamp": "2026-05-27T08:03:21",
"trx_id": "a302cc2fdce35102aa80f81a414fccbfa609639b",
"trx_in_block": 3,
"virtual_op": true
}2026/05/27 08:03:21
2026/05/27 08:03:21
| author | velsit |
| permlink | evaluating-the-role-of-structured-football-forecasting-in-betting-decisions |
| voter | psychophilo |
| weight | 250 (2.50%) |
| Transaction Info | Block #106742910/Trx a302cc2fdce35102aa80f81a414fccbfa609639b |
View Raw JSON Data
{
"block": 106742910,
"op": [
"vote",
{
"author": "velsit",
"permlink": "evaluating-the-role-of-structured-football-forecasting-in-betting-decisions",
"voter": "psychophilo",
"weight": 250
}
],
"op_in_trx": 2,
"timestamp": "2026-05-27T08:03:21",
"trx_id": "a302cc2fdce35102aa80f81a414fccbfa609639b",
"trx_in_block": 3,
"virtual_op": false
}hive-103505effective vote applied for @velsit / evaluating-the-role-of-structured-football-forecasting-in-betting-decisions2026/05/27 08:03:21
hive-103505effective vote applied for @velsit / evaluating-the-role-of-structured-football-forecasting-in-betting-decisions
2026/05/27 08:03:21
| author | velsit |
| pending payout | 0.001 HBD |
| permlink | evaluating-the-role-of-structured-football-forecasting-in-betting-decisions |
| rshares | 409684911 |
| total vote weight | 16842307485 |
| voter | hive-103505 |
| weight | 409684911 |
| Transaction Info | Block #106742910/Trx a302cc2fdce35102aa80f81a414fccbfa609639b |
View Raw JSON Data
{
"block": 106742910,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.001 HBD",
"permlink": "evaluating-the-role-of-structured-football-forecasting-in-betting-decisions",
"rshares": 409684911,
"total_vote_weight": 16842307485,
"voter": "hive-103505",
"weight": 409684911
}
],
"op_in_trx": 1,
"timestamp": "2026-05-27T08:03:21",
"trx_id": "a302cc2fdce35102aa80f81a414fccbfa609639b",
"trx_in_block": 3,
"virtual_op": true
}2026/05/27 08:03:21
2026/05/27 08:03:21
| author | velsit |
| permlink | evaluating-the-role-of-structured-football-forecasting-in-betting-decisions |
| voter | hive-103505 |
| weight | 250 (2.50%) |
| Transaction Info | Block #106742910/Trx a302cc2fdce35102aa80f81a414fccbfa609639b |
View Raw JSON Data
{
"block": 106742910,
"op": [
"vote",
{
"author": "velsit",
"permlink": "evaluating-the-role-of-structured-football-forecasting-in-betting-decisions",
"voter": "hive-103505",
"weight": 250
}
],
"op_in_trx": 0,
"timestamp": "2026-05-27T08:03:21",
"trx_id": "a302cc2fdce35102aa80f81a414fccbfa609639b",
"trx_in_block": 3,
"virtual_op": false
}we-are-aieffective vote applied for @velsit / evaluating-the-role-of-structured-football-forecasting-in-betting-decisions2026/05/27 08:03:12
we-are-aieffective vote applied for @velsit / evaluating-the-role-of-structured-football-forecasting-in-betting-decisions
2026/05/27 08:03:12
| author | velsit |
| pending payout | 0.001 HBD |
| permlink | evaluating-the-role-of-structured-football-forecasting-in-betting-decisions |
| rshares | 16432622574 |
| total vote weight | 16432622574 |
| voter | we-are-ai |
| weight | 16432622574 |
| Transaction Info | Block #106742907/Trx 5b93feea7aee4abd946a9b7f4071ac1717b23fac |
View Raw JSON Data
{
"block": 106742907,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.001 HBD",
"permlink": "evaluating-the-role-of-structured-football-forecasting-in-betting-decisions",
"rshares": 16432622574,
"total_vote_weight": 16432622574,
"voter": "we-are-ai",
"weight": 16432622574
}
],
"op_in_trx": 1,
"timestamp": "2026-05-27T08:03:12",
"trx_id": "5b93feea7aee4abd946a9b7f4071ac1717b23fac",
"trx_in_block": 1,
"virtual_op": true
}2026/05/27 08:03:12
2026/05/27 08:03:12
| author | velsit |
| permlink | evaluating-the-role-of-structured-football-forecasting-in-betting-decisions |
| voter | we-are-ai |
| weight | 250 (2.50%) |
| Transaction Info | Block #106742907/Trx 5b93feea7aee4abd946a9b7f4071ac1717b23fac |
View Raw JSON Data
{
"block": 106742907,
"op": [
"vote",
{
"author": "velsit",
"permlink": "evaluating-the-role-of-structured-football-forecasting-in-betting-decisions",
"voter": "we-are-ai",
"weight": 250
}
],
"op_in_trx": 0,
"timestamp": "2026-05-27T08:03:12",
"trx_id": "5b93feea7aee4abd946a9b7f4071ac1717b23fac",
"trx_in_block": 1,
"virtual_op": false
}spaminatoreffective vote applied for @velsit / evaluating-the-role-of-structured-football-forecasting-in-betting-decisions2026/05/27 07:54:24
spaminatoreffective vote applied for @velsit / evaluating-the-role-of-structured-football-forecasting-in-betting-decisions
2026/05/27 07:54:24
| author | velsit |
| pending payout | 0.000 HBD |
| permlink | evaluating-the-role-of-structured-football-forecasting-in-betting-decisions |
| rshares | -1789620950 |
| total vote weight | 0 |
| voter | spaminator |
| weight | 0 (0.00%) |
| Transaction Info | Block #106742732/Trx 853bb172c59e07f9d287265386139d8f3d1d20ad |
View Raw JSON Data
{
"block": 106742732,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.000 HBD",
"permlink": "evaluating-the-role-of-structured-football-forecasting-in-betting-decisions",
"rshares": -1789620950,
"total_vote_weight": 0,
"voter": "spaminator",
"weight": 0
}
],
"op_in_trx": 1,
"timestamp": "2026-05-27T07:54:24",
"trx_id": "853bb172c59e07f9d287265386139d8f3d1d20ad",
"trx_in_block": 1,
"virtual_op": true
}2026/05/27 07:54:24
2026/05/27 07:54:24
| author | velsit |
| permlink | evaluating-the-role-of-structured-football-forecasting-in-betting-decisions |
| voter | spaminator |
| weight | -25 (-0.25%) |
| Transaction Info | Block #106742732/Trx 853bb172c59e07f9d287265386139d8f3d1d20ad |
View Raw JSON Data
{
"block": 106742732,
"op": [
"vote",
{
"author": "velsit",
"permlink": "evaluating-the-role-of-structured-football-forecasting-in-betting-decisions",
"voter": "spaminator",
"weight": -25
}
],
"op_in_trx": 0,
"timestamp": "2026-05-27T07:54:24",
"trx_id": "853bb172c59e07f9d287265386139d8f3d1d20ad",
"trx_in_block": 1,
"virtual_op": false
}velsitpublished a new post: evaluating-the-role-of-structured-football-forecasting-in-betting-decisions2026/05/27 07:54:12
velsitpublished a new post: evaluating-the-role-of-structured-football-forecasting-in-betting-decisions
2026/05/27 07:54:12
| author | velsit |
| body | The modern football calendar offers an overwhelming volume of matches across domestic leagues, continental tournaments, and international competitions. For bettors and analysts, this abundance creates a practical challenge: how to consistently evaluate upcoming fixtures without relying on intuition or incomplete information. The answer increasingly lies in structured, data-driven forecasting tools that apply transparent methodologies across thousands of matches annually. However, not all prediction platforms offer genuine analytical value. Key differentiators include the clarity of their analytical framework, the consistency of their approach across different leagues, and their honest acknowledgment of uncertainty — qualities that distinguish serious forecasting tools from entertainment-oriented content. One resource that attempts to provide this structured approach is the [football predictions site footyprediction.com](https://footyprediction.com/). The platform generates forecasts using a multi-factor analytical process: recent team form (results, goal trends, defensive stability), head-to-head historical patterns, home and away performance differentials, and contextual elements such as scheduling density, player availability, and match importance. Bookmaker odds are incorporated as a secondary reference to identify potential market value rather than as primary predictors. This layered methodology allows users to understand why a particular forecast is made, promoting independent judgment rather than passive acceptance of final tips. From a professional standpoint, the emphasis on replicability and statistical grounding aligns with best practices in sports analytics. The platform covers a wide range of competitions — from major European leagues to secondary tournaments — applying consistent evaluation criteria across diverse match types. No forecasting system can eliminate football's inherent unpredictability. Refereeing decisions, in-game injuries, weather conditions, and unexpected tactical changes regularly overturn even the most carefully calibrated probability models. Professional users of platforms like football predictions site footyprediction.com therefore treat their outputs as informed guidance rather than definitive answers. The most effective approach combines structured predictions with personal judgment, disciplined bankroll management, and a clear understanding that each bet carries residual risk. As the volume of football competitions continues to expand — with domestic schedules, European tournaments, and events like the 2026 World Cup creating a near-constant flow of fixtures — the demand for transparent, data-driven forecasting tools is likely to grow. Platforms that prioritize methodological honesty, consistency across leagues, and clear communication of uncertainty will remain valuable resources for analysts and bettors seeking defensible baselines for their decisions. |
| json metadata | {"app":"peakd/2026.5.7","format":"markdown","tags":["football"],"users":[],"image":[]} |
| parent author | |
| parent permlink | football |
| permlink | evaluating-the-role-of-structured-football-forecasting-in-betting-decisions |
| title | Evaluating the Role of Structured Football Forecasting in Betting Decisions |
| Transaction Info | Block #106742728/Trx 4900e563d32d1f32a129376379beb5858ce87cd0 |
View Raw JSON Data
{
"block": 106742728,
"op": [
"comment",
{
"author": "velsit",
"body": "The modern football calendar offers an overwhelming volume of matches across domestic leagues, continental tournaments, and international competitions. For bettors and analysts, this abundance creates a practical challenge: how to consistently evaluate upcoming fixtures without relying on intuition or incomplete information. The answer increasingly lies in structured, data-driven forecasting tools that apply transparent methodologies across thousands of matches annually. However, not all prediction platforms offer genuine analytical value. Key differentiators include the clarity of their analytical framework, the consistency of their approach across different leagues, and their honest acknowledgment of uncertainty — qualities that distinguish serious forecasting tools from entertainment-oriented content.\n\nOne resource that attempts to provide this structured approach is the [football predictions site footyprediction.com](https://footyprediction.com/). The platform generates forecasts using a multi-factor analytical process: recent team form (results, goal trends, defensive stability), head-to-head historical patterns, home and away performance differentials, and contextual elements such as scheduling density, player availability, and match importance. Bookmaker odds are incorporated as a secondary reference to identify potential market value rather than as primary predictors. This layered methodology allows users to understand why a particular forecast is made, promoting independent judgment rather than passive acceptance of final tips. From a professional standpoint, the emphasis on replicability and statistical grounding aligns with best practices in sports analytics. The platform covers a wide range of competitions — from major European leagues to secondary tournaments — applying consistent evaluation criteria across diverse match types.\n\nNo forecasting system can eliminate football's inherent unpredictability. Refereeing decisions, in-game injuries, weather conditions, and unexpected tactical changes regularly overturn even the most carefully calibrated probability models. Professional users of platforms like football predictions site footyprediction.com therefore treat their outputs as informed guidance rather than definitive answers. The most effective approach combines structured predictions with personal judgment, disciplined bankroll management, and a clear understanding that each bet carries residual risk. As the volume of football competitions continues to expand — with domestic schedules, European tournaments, and events like the 2026 World Cup creating a near-constant flow of fixtures — the demand for transparent, data-driven forecasting tools is likely to grow. Platforms that prioritize methodological honesty, consistency across leagues, and clear communication of uncertainty will remain valuable resources for analysts and bettors seeking defensible baselines for their decisions.",
"json_metadata": "{\"app\":\"peakd/2026.5.7\",\"format\":\"markdown\",\"tags\":[\"football\"],\"users\":[],\"image\":[]}",
"parent_author": "",
"parent_permlink": "football",
"permlink": "evaluating-the-role-of-structured-football-forecasting-in-betting-decisions",
"title": "Evaluating the Role of Structured Football Forecasting in Betting Decisions"
}
],
"op_in_trx": 0,
"timestamp": "2026-05-27T07:54:12",
"trx_id": "4900e563d32d1f32a129376379beb5858ce87cd0",
"trx_in_block": 4,
"virtual_op": false
}spaminatoreffective vote applied for @velsit / re-winningred-tfoqyc2026/05/27 07:47:12
spaminatoreffective vote applied for @velsit / re-winningred-tfoqyc
2026/05/27 07:47:12
| author | velsit |
| pending payout | 0.000 HBD |
| permlink | re-winningred-tfoqyc |
| rshares | -1789620950 |
| total vote weight | 0 |
| voter | spaminator |
| weight | 0 (0.00%) |
| Transaction Info | Block #106742588/Trx 280faa5fe32d136795c1c5b8446c28f3ef2c0821 |
View Raw JSON Data
{
"block": 106742588,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.000 HBD",
"permlink": "re-winningred-tfoqyc",
"rshares": -1789620950,
"total_vote_weight": 0,
"voter": "spaminator",
"weight": 0
}
],
"op_in_trx": 1,
"timestamp": "2026-05-27T07:47:12",
"trx_id": "280faa5fe32d136795c1c5b8446c28f3ef2c0821",
"trx_in_block": 3,
"virtual_op": true
}spaminatorflagged (-0.25%) @velsit / re-winningred-tfoqyc2026/05/27 07:47:12
spaminatorflagged (-0.25%) @velsit / re-winningred-tfoqyc
2026/05/27 07:47:12
| author | velsit |
| permlink | re-winningred-tfoqyc |
| voter | spaminator |
| weight | -25 (-0.25%) |
| Transaction Info | Block #106742588/Trx 280faa5fe32d136795c1c5b8446c28f3ef2c0821 |
View Raw JSON Data
{
"block": 106742588,
"op": [
"vote",
{
"author": "velsit",
"permlink": "re-winningred-tfoqyc",
"voter": "spaminator",
"weight": -25
}
],
"op_in_trx": 0,
"timestamp": "2026-05-27T07:47:12",
"trx_id": "280faa5fe32d136795c1c5b8446c28f3ef2c0821",
"trx_in_block": 3,
"virtual_op": false
}velsitreplied to @winningred / re-winningred-tfoqyc2026/05/27 07:47:06
velsitreplied to @winningred / re-winningred-tfoqyc
2026/05/27 07:47:06
| author | velsit |
| body | Over the years, I've built up a decent inventory, but what I've realized is that owning cool skins is only half the fun; actually getting good with those guns is what really matters. That's why I've been spending time learning recoil patterns, and I recently found this super helpful guide on https://skinkings.com/cs2-spray-patterns/mp9/ that breaks down the MP9's spray in a way that's easy to follow and practice. It's not just a dry list of instructions — it explains the early upward-left movement and how to compensate right away, which has made a huge difference in my close-range duels on CT side. |
| json metadata | {"tags":["csgo"],"app":"peakd/2026.5.7","image":[],"users":[]} |
| parent author | winningred |
| parent permlink | top-10-cs-go-weapon-skins-to-crave-for |
| permlink | re-winningred-tfoqyc |
| title | |
| Transaction Info | Block #106742586/Trx c98abe7f2dc2fb285436fc23326097555ea43ae7 |
View Raw JSON Data
{
"block": 106742586,
"op": [
"comment",
{
"author": "velsit",
"body": " Over the years, I've built up a decent inventory, but what I've realized is that owning cool skins is only half the fun; actually getting good with those guns is what really matters. That's why I've been spending time learning recoil patterns, and I recently found this super helpful guide on https://skinkings.com/cs2-spray-patterns/mp9/ that breaks down the MP9's spray in a way that's easy to follow and practice. It's not just a dry list of instructions — it explains the early upward-left movement and how to compensate right away, which has made a huge difference in my close-range duels on CT side. ",
"json_metadata": "{\"tags\":[\"csgo\"],\"app\":\"peakd/2026.5.7\",\"image\":[],\"users\":[]}",
"parent_author": "winningred",
"parent_permlink": "top-10-cs-go-weapon-skins-to-crave-for",
"permlink": "re-winningred-tfoqyc",
"title": ""
}
],
"op_in_trx": 0,
"timestamp": "2026-05-27T07:47:06",
"trx_id": "c98abe7f2dc2fb285436fc23326097555ea43ae7",
"trx_in_block": 0,
"virtual_op": false
}spaminatoreffective vote applied for @velsit / re-gamersclassified-2026527t103955762z2026/05/27 07:40:06
spaminatoreffective vote applied for @velsit / re-gamersclassified-2026527t103955762z
2026/05/27 07:40:06
| author | velsit |
| pending payout | 0.000 HBD |
| permlink | re-gamersclassified-2026527t103955762z |
| rshares | -1789620950 |
| total vote weight | 0 |
| voter | spaminator |
| weight | 0 (0.00%) |
| Transaction Info | Block #106742446/Trx 67a036654dbd1af126b0153b118e8bd90ebc6648 |
View Raw JSON Data
{
"block": 106742446,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.000 HBD",
"permlink": "re-gamersclassified-2026527t103955762z",
"rshares": -1789620950,
"total_vote_weight": 0,
"voter": "spaminator",
"weight": 0
}
],
"op_in_trx": 1,
"timestamp": "2026-05-27T07:40:06",
"trx_id": "67a036654dbd1af126b0153b118e8bd90ebc6648",
"trx_in_block": 2,
"virtual_op": true
}spaminatorflagged (-0.25%) @velsit / re-gamersclassified-2026527t103955762z2026/05/27 07:40:06
spaminatorflagged (-0.25%) @velsit / re-gamersclassified-2026527t103955762z
2026/05/27 07:40:06
| author | velsit |
| permlink | re-gamersclassified-2026527t103955762z |
| voter | spaminator |
| weight | -25 (-0.25%) |
| Transaction Info | Block #106742446/Trx 67a036654dbd1af126b0153b118e8bd90ebc6648 |
View Raw JSON Data
{
"block": 106742446,
"op": [
"vote",
{
"author": "velsit",
"permlink": "re-gamersclassified-2026527t103955762z",
"voter": "spaminator",
"weight": -25
}
],
"op_in_trx": 0,
"timestamp": "2026-05-27T07:40:06",
"trx_id": "67a036654dbd1af126b0153b118e8bd90ebc6648",
"trx_in_block": 2,
"virtual_op": false
}2026/05/27 07:40:00
2026/05/27 07:40:00
| author | velsit |
| body | I remember when YNk joined MiBR, it felt like a smart move at the time since he'd proven his analytical skills on the desk. Too bad it didn't quite work out in the long run, but that's how coaching in CS goes sometimes. Speaking of making smart moves in the CS scene, one thing that's helped me outside of the game is finally doing something with the pile of skins sitting in my inventory. I started using https://skinkings.com/sell-csgo-skins/ a few months ago, and honestly, it's been way easier than I expected — you just log in through Steam, pick the skins you want to sell, and the payout hits your PayPal or crypto wallet within minutes. No waiting around for days like on some other marketplaces. |
| json metadata | {"tags":["gaming","csgo","mibr","ynk","headcoach"],"app":"ecency/4.3.9-vision","format":"markdown+html"} |
| parent author | gamersclassified |
| parent permlink | csgo-mibr-welcomes-ynk-as-new-head-coach |
| permlink | re-gamersclassified-2026527t103955762z |
| title | |
| Transaction Info | Block #106742444/Trx 6b8a39e74760d4b9b1e7b63f6047dafacc89b855 |
View Raw JSON Data
{
"block": 106742444,
"op": [
"comment",
{
"author": "velsit",
"body": " I remember when YNk joined MiBR, it felt like a smart move at the time since he'd proven his analytical skills on the desk. Too bad it didn't quite work out in the long run, but that's how coaching in CS goes sometimes. Speaking of making smart moves in the CS scene, one thing that's helped me outside of the game is finally doing something with the pile of skins sitting in my inventory. I started using https://skinkings.com/sell-csgo-skins/ a few months ago, and honestly, it's been way easier than I expected — you just log in through Steam, pick the skins you want to sell, and the payout hits your PayPal or crypto wallet within minutes. No waiting around for days like on some other marketplaces. ",
"json_metadata": "{\"tags\":[\"gaming\",\"csgo\",\"mibr\",\"ynk\",\"headcoach\"],\"app\":\"ecency/4.3.9-vision\",\"format\":\"markdown+html\"}",
"parent_author": "gamersclassified",
"parent_permlink": "csgo-mibr-welcomes-ynk-as-new-head-coach",
"permlink": "re-gamersclassified-2026527t103955762z",
"title": ""
}
],
"op_in_trx": 0,
"timestamp": "2026-05-27T07:40:00",
"trx_id": "6b8a39e74760d4b9b1e7b63f6047dafacc89b855",
"trx_in_block": 14,
"virtual_op": false
}spaminatoreffective vote applied for @velsit / tfoqik2026/05/27 07:37:42
spaminatoreffective vote applied for @velsit / tfoqik
2026/05/27 07:37:42
| author | velsit |
| pending payout | 0.000 HBD |
| permlink | tfoqik |
| rshares | -1789620950 |
| total vote weight | 0 |
| voter | spaminator |
| weight | 0 (0.00%) |
| Transaction Info | Block #106742398/Trx 96bc394fe85ba21a6c3487dbeac5b869e2955365 |
View Raw JSON Data
{
"block": 106742398,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.000 HBD",
"permlink": "tfoqik",
"rshares": -1789620950,
"total_vote_weight": 0,
"voter": "spaminator",
"weight": 0
}
],
"op_in_trx": 1,
"timestamp": "2026-05-27T07:37:42",
"trx_id": "96bc394fe85ba21a6c3487dbeac5b869e2955365",
"trx_in_block": 3,
"virtual_op": true
}spaminatorflagged (-0.25%) @velsit / tfoqik2026/05/27 07:37:42
spaminatorflagged (-0.25%) @velsit / tfoqik
2026/05/27 07:37:42
| author | velsit |
| permlink | tfoqik |
| voter | spaminator |
| weight | -25 (-0.25%) |
| Transaction Info | Block #106742398/Trx 96bc394fe85ba21a6c3487dbeac5b869e2955365 |
View Raw JSON Data
{
"block": 106742398,
"op": [
"vote",
{
"author": "velsit",
"permlink": "tfoqik",
"voter": "spaminator",
"weight": -25
}
],
"op_in_trx": 0,
"timestamp": "2026-05-27T07:37:42",
"trx_id": "96bc394fe85ba21a6c3487dbeac5b869e2955365",
"trx_in_block": 3,
"virtual_op": false
}2026/05/27 07:37:36
2026/05/27 07:37:36
| allow curation rewards | true |
| allow votes | true |
| author | velsit |
| extensions | [] |
| max accepted payout | 1000000.000 HBD |
| percent hbd | 10000 |
| permlink | tfoqik |
| Transaction Info | Block #106742396/Trx a85fe1438bf191dcac0521a26b55bde9bb31f927 |
View Raw JSON Data
{
"block": 106742396,
"op": [
"comment_options",
{
"allow_curation_rewards": true,
"allow_votes": true,
"author": "velsit",
"extensions": [],
"max_accepted_payout": "1000000.000 HBD",
"percent_hbd": 10000,
"permlink": "tfoqik"
}
],
"op_in_trx": 1,
"timestamp": "2026-05-27T07:37:36",
"trx_id": "a85fe1438bf191dcac0521a26b55bde9bb31f927",
"trx_in_block": 47,
"virtual_op": false
}velsitreplied to @fausto1997 / tfoqik2026/05/27 07:37:36
velsitreplied to @fausto1997 / tfoqik
2026/05/27 07:37:36
| author | velsit |
| body | I've been playing CS since the 1.6 days, and it's crazy to see how far it's come, especially with the skin market that's basically become its own economy. Speaking of skins, over time I've accumulated a bunch that I don't even use anymore, and I figured why let them just sit in my inventory collecting dust. After trying a few different marketplaces, I've had the best experience using https://skinkings.com/sell-csgo-skins/ because the payout is fast, the fees are reasonable, and I don't have to deal with sketchy peer-to-peer trades. What I like most is that you can cash out through multiple options like PayPal or crypto, and the whole process from login to receiving money takes just a few minutes. |
| json metadata | {"links":["https://skinkings.com/sell-csgo-skins/"],"app":"hiveblog/0.1"} |
| parent author | fausto1997 |
| parent permlink | english-espanol-counter-strike-and-its-impact-on-fps-and-gaming-in-general |
| permlink | tfoqik |
| title | |
| Transaction Info | Block #106742396/Trx a85fe1438bf191dcac0521a26b55bde9bb31f927 |
View Raw JSON Data
{
"block": 106742396,
"op": [
"comment",
{
"author": "velsit",
"body": "I've been playing CS since the 1.6 days, and it's crazy to see how far it's come, especially with the skin market that's basically become its own economy. Speaking of skins, over time I've accumulated a bunch that I don't even use anymore, and I figured why let them just sit in my inventory collecting dust. After trying a few different marketplaces, I've had the best experience using https://skinkings.com/sell-csgo-skins/ because the payout is fast, the fees are reasonable, and I don't have to deal with sketchy peer-to-peer trades. What I like most is that you can cash out through multiple options like PayPal or crypto, and the whole process from login to receiving money takes just a few minutes.",
"json_metadata": "{\"links\":[\"https://skinkings.com/sell-csgo-skins/\"],\"app\":\"hiveblog/0.1\"}",
"parent_author": "fausto1997",
"parent_permlink": "english-espanol-counter-strike-and-its-impact-on-fps-and-gaming-in-general",
"permlink": "tfoqik",
"title": ""
}
],
"op_in_trx": 0,
"timestamp": "2026-05-27T07:37:36",
"trx_id": "a85fe1438bf191dcac0521a26b55bde9bb31f927",
"trx_in_block": 47,
"virtual_op": false
}spaminatoreffective vote applied for @velsit / tfn64s2026/05/26 11:19:48
spaminatoreffective vote applied for @velsit / tfn64s
2026/05/26 11:19:48
| author | velsit |
| pending payout | 0.000 HBD |
| permlink | tfn64s |
| rshares | -1789620950 |
| total vote weight | 0 |
| voter | spaminator |
| weight | 0 (0.00%) |
| Transaction Info | Block #106718100/Trx f2f338dad8e798ace189f2a55ff0f2460d95ea4a |
View Raw JSON Data
{
"block": 106718100,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.000 HBD",
"permlink": "tfn64s",
"rshares": -1789620950,
"total_vote_weight": 0,
"voter": "spaminator",
"weight": 0
}
],
"op_in_trx": 1,
"timestamp": "2026-05-26T11:19:48",
"trx_id": "f2f338dad8e798ace189f2a55ff0f2460d95ea4a",
"trx_in_block": 8,
"virtual_op": true
}spaminatorflagged (-0.25%) @velsit / tfn64s2026/05/26 11:19:48
spaminatorflagged (-0.25%) @velsit / tfn64s
2026/05/26 11:19:48
| author | velsit |
| permlink | tfn64s |
| voter | spaminator |
| weight | -25 (-0.25%) |
| Transaction Info | Block #106718100/Trx f2f338dad8e798ace189f2a55ff0f2460d95ea4a |
View Raw JSON Data
{
"block": 106718100,
"op": [
"vote",
{
"author": "velsit",
"permlink": "tfn64s",
"voter": "spaminator",
"weight": -25
}
],
"op_in_trx": 0,
"timestamp": "2026-05-26T11:19:48",
"trx_id": "f2f338dad8e798ace189f2a55ff0f2460d95ea4a",
"trx_in_block": 8,
"virtual_op": false
}2026/05/26 11:19:45
2026/05/26 11:19:45
| allow curation rewards | true |
| allow votes | true |
| author | velsit |
| extensions | [] |
| max accepted payout | 1000000.000 HBD |
| percent hbd | 10000 |
| permlink | tfn64s |
| Transaction Info | Block #106718099/Trx a2c071428c5e67ef054a5882dce05fd48855fd07 |
View Raw JSON Data
{
"block": 106718099,
"op": [
"comment_options",
{
"allow_curation_rewards": true,
"allow_votes": true,
"author": "velsit",
"extensions": [],
"max_accepted_payout": "1000000.000 HBD",
"percent_hbd": 10000,
"permlink": "tfn64s"
}
],
"op_in_trx": 1,
"timestamp": "2026-05-26T11:19:45",
"trx_id": "a2c071428c5e67ef054a5882dce05fd48855fd07",
"trx_in_block": 9,
"virtual_op": false
}2026/05/26 11:19:45
2026/05/26 11:19:45
| author | velsit |
| body | I really respect how you break down the games — especially the call on Watford and the Atlanta vs. Lazio match. I've been following football for years and I also love testing my instincts with a few bets here and there, though I've learned the hard way that going by gut feeling alone doesn't always work out. Over time, I've started using <a href="https://footyprediction.com/">footyprediction.com</a> to get a second opinion before placing any bets, because their data-driven approach helps me spot things I might miss — like recent form, injuries, or head-to-head trends. |
| json metadata | {"links":["https://footyprediction.com/"],"app":"hiveblog/0.1"} |
| parent author | dragon29 |
| parent permlink | today-s-football-matches-predictions-30-9 |
| permlink | tfn64s |
| title | |
| Transaction Info | Block #106718099/Trx a2c071428c5e67ef054a5882dce05fd48855fd07 |
View Raw JSON Data
{
"block": 106718099,
"op": [
"comment",
{
"author": "velsit",
"body": "I really respect how you break down the games — especially the call on Watford and the Atlanta vs. Lazio match. I've been following football for years and I also love testing my instincts with a few bets here and there, though I've learned the hard way that going by gut feeling alone doesn't always work out. Over time, I've started using <a href=\"https://footyprediction.com/\">footyprediction.com</a> to get a second opinion before placing any bets, because their data-driven approach helps me spot things I might miss — like recent form, injuries, or head-to-head trends.",
"json_metadata": "{\"links\":[\"https://footyprediction.com/\"],\"app\":\"hiveblog/0.1\"}",
"parent_author": "dragon29",
"parent_permlink": "today-s-football-matches-predictions-30-9",
"permlink": "tfn64s",
"title": ""
}
],
"op_in_trx": 0,
"timestamp": "2026-05-26T11:19:45",
"trx_id": "a2c071428c5e67ef054a5882dce05fd48855fd07",
"trx_in_block": 9,
"virtual_op": false
}velsitupdated payout for re-lozio71-tfa0sk2026/05/26 08:55:33
velsitupdated payout for re-lozio71-tfa0sk
2026/05/26 08:55:33
| author | velsit |
| permlink | re-lozio71-tfa0sk |
| Transaction Info | Block #106715222/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 106715222,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "re-lozio71-tfa0sk"
}
],
"op_in_trx": 2,
"timestamp": "2026-05-26T08:55:33",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}velsitupdated payout for re-mad-runner-2026519t115249786z2026/05/26 08:52:51
velsitupdated payout for re-mad-runner-2026519t115249786z
2026/05/26 08:52:51
| author | velsit |
| permlink | re-mad-runner-2026519t115249786z |
| Transaction Info | Block #106715168/Virtual Operation 4294967295:3 |
View Raw JSON Data
{
"block": 106715168,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "re-mad-runner-2026519t115249786z"
}
],
"op_in_trx": 3,
"timestamp": "2026-05-26T08:52:51",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}2026/05/25 11:11:24
2026/05/25 11:11:24
| author | velsit |
| permlink | tf8cez |
| Transaction Info | Block #106689208/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 106689208,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "tf8cez"
}
],
"op_in_trx": 2,
"timestamp": "2026-05-25T11:11:24",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}velsitupdated payout for re-gabrielatravels-tf8c672026/05/25 11:06:09
velsitupdated payout for re-gabrielatravels-tf8c67
2026/05/25 11:06:09
| author | velsit |
| permlink | re-gabrielatravels-tf8c67 |
| Transaction Info | Block #106689103/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 106689103,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "re-gabrielatravels-tf8c67"
}
],
"op_in_trx": 2,
"timestamp": "2026-05-25T11:06:09",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}velsitupdated payout for re-grocko-2026518t14255138z2026/05/25 11:02:54
velsitupdated payout for re-grocko-2026518t14255138z
2026/05/25 11:02:54
| author | velsit |
| permlink | re-grocko-2026518t14255138z |
| Transaction Info | Block #106689038/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 106689038,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "re-grocko-2026518t14255138z"
}
],
"op_in_trx": 2,
"timestamp": "2026-05-25T11:02:54",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}2026/05/25 07:52:51
2026/05/25 07:52:51
| author | velsit |
| permlink | tf8382 |
| Transaction Info | Block #106685247/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 106685247,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "tf8382"
}
],
"op_in_trx": 2,
"timestamp": "2026-05-25T07:52:51",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}velsitupdated payout for re-kristall97-tf833w2026/05/25 07:50:21
velsitupdated payout for re-kristall97-tf833w
2026/05/25 07:50:21
| author | velsit |
| permlink | re-kristall97-tf833w |
| Transaction Info | Block #106685197/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 106685197,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "re-kristall97-tf833w"
}
],
"op_in_trx": 2,
"timestamp": "2026-05-25T07:50:21",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}velsitupdated payout for re-ynwaandree-2026518t104732252z2026/05/25 07:47:33
velsitupdated payout for re-ynwaandree-2026518t104732252z
2026/05/25 07:47:33
| author | velsit |
| permlink | re-ynwaandree-2026518t104732252z |
| Transaction Info | Block #106685141/Virtual Operation 4294967295:3 |
View Raw JSON Data
{
"block": 106685141,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "re-ynwaandree-2026518t104732252z"
}
],
"op_in_trx": 3,
"timestamp": "2026-05-25T07:47:33",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}velsitupdated payout for account-access-and-onboarding-in-kenyas-sports-betting-market2026/05/22 09:20:18
velsitupdated payout for account-access-and-onboarding-in-kenyas-sports-betting-market
2026/05/22 09:20:18
| author | velsit |
| permlink | account-access-and-onboarding-in-kenyas-sports-betting-market |
| Transaction Info | Block #106600796/Virtual Operation 4294967295:2 |
View Raw JSON Data
{
"block": 106600796,
"op": [
"comment_payout_update",
{
"author": "velsit",
"permlink": "account-access-and-onboarding-in-kenyas-sports-betting-market"
}
],
"op_in_trx": 2,
"timestamp": "2026-05-22T09:20:18",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": true
}freebornsocietyeffective vote applied for @velsit / account-access-and-onboarding-in-kenyas-sports-betting-market2026/05/22 05:41:39
freebornsocietyeffective vote applied for @velsit / account-access-and-onboarding-in-kenyas-sports-betting-market
2026/05/22 05:41:39
| author | velsit |
| pending payout | 0.000 HBD |
| permlink | account-access-and-onboarding-in-kenyas-sports-betting-market |
| rshares | -463585397 |
| total vote weight | 33094146839 |
| voter | freebornsociety |
| weight | 0 (0.00%) |
| Transaction Info | Block #106596431/Trx 5120e2cfab7a22c73b6705a820d22437f0c75152 |
View Raw JSON Data
{
"block": 106596431,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.000 HBD",
"permlink": "account-access-and-onboarding-in-kenyas-sports-betting-market",
"rshares": -463585397,
"total_vote_weight": 33094146839,
"voter": "freebornsociety",
"weight": 0
}
],
"op_in_trx": 1,
"timestamp": "2026-05-22T05:41:39",
"trx_id": "5120e2cfab7a22c73b6705a820d22437f0c75152",
"trx_in_block": 0,
"virtual_op": true
}2026/05/22 05:41:39
2026/05/22 05:41:39
| author | velsit |
| permlink | account-access-and-onboarding-in-kenyas-sports-betting-market |
| voter | freebornsociety |
| weight | -204 (-2.04%) |
| Transaction Info | Block #106596431/Trx 5120e2cfab7a22c73b6705a820d22437f0c75152 |
View Raw JSON Data
{
"block": 106596431,
"op": [
"vote",
{
"author": "velsit",
"permlink": "account-access-and-onboarding-in-kenyas-sports-betting-market",
"voter": "freebornsociety",
"weight": -204
}
],
"op_in_trx": 0,
"timestamp": "2026-05-22T05:41:39",
"trx_id": "5120e2cfab7a22c73b6705a820d22437f0c75152",
"trx_in_block": 0,
"virtual_op": false
}meritocracyeffective vote applied for @velsit / account-access-and-onboarding-in-kenyas-sports-betting-market2026/05/21 21:29:57
meritocracyeffective vote applied for @velsit / account-access-and-onboarding-in-kenyas-sports-betting-market
2026/05/21 21:29:57
| author | velsit |
| pending payout | 0.000 HBD |
| permlink | account-access-and-onboarding-in-kenyas-sports-betting-market |
| rshares | -30622513864 |
| total vote weight | 33094146839 |
| voter | meritocracy |
| weight | 0 (0.00%) |
| Transaction Info | Block #106586621/Trx 43675d80eee4f59c83a65ee5177e1177d7746f5c |
View Raw JSON Data
{
"block": 106586621,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.000 HBD",
"permlink": "account-access-and-onboarding-in-kenyas-sports-betting-market",
"rshares": -30622513864,
"total_vote_weight": 33094146839,
"voter": "meritocracy",
"weight": 0
}
],
"op_in_trx": 1,
"timestamp": "2026-05-21T21:29:57",
"trx_id": "43675d80eee4f59c83a65ee5177e1177d7746f5c",
"trx_in_block": 3,
"virtual_op": true
}meritocracyflagged (-0.22%) @velsit / account-access-and-onboarding-in-kenyas-sports-betting-market2026/05/21 21:29:57
meritocracyflagged (-0.22%) @velsit / account-access-and-onboarding-in-kenyas-sports-betting-market
2026/05/21 21:29:57
| author | velsit |
| permlink | account-access-and-onboarding-in-kenyas-sports-betting-market |
| voter | meritocracy |
| weight | -22 (-0.22%) |
| Transaction Info | Block #106586621/Trx 43675d80eee4f59c83a65ee5177e1177d7746f5c |
View Raw JSON Data
{
"block": 106586621,
"op": [
"vote",
{
"author": "velsit",
"permlink": "account-access-and-onboarding-in-kenyas-sports-betting-market",
"voter": "meritocracy",
"weight": -22
}
],
"op_in_trx": 0,
"timestamp": "2026-05-21T21:29:57",
"trx_id": "43675d80eee4f59c83a65ee5177e1177d7746f5c",
"trx_in_block": 3,
"virtual_op": false
}spaminatoreffective vote applied for @velsit / re-allfabeta-2026521t112435729z2026/05/21 12:29:45
spaminatoreffective vote applied for @velsit / re-allfabeta-2026521t112435729z
2026/05/21 12:29:45
| author | velsit |
| pending payout | 0.000 HBD |
| permlink | re-allfabeta-2026521t112435729z |
| rshares | -685337231 |
| total vote weight | 0 |
| voter | spaminator |
| weight | 0 (0.00%) |
| Transaction Info | Block #106575839/Trx 55d5b6bab290590b11a0dc0428e1e6b2d77bfb65 |
View Raw JSON Data
{
"block": 106575839,
"op": [
"effective_comment_vote",
{
"author": "velsit",
"pending_payout": "0.000 HBD",
"permlink": "re-allfabeta-2026521t112435729z",
"rshares": -685337231,
"total_vote_weight": 0,
"voter": "spaminator",
"weight": 0
}
],
"op_in_trx": 1,
"timestamp": "2026-05-21T12:29:45",
"trx_id": "55d5b6bab290590b11a0dc0428e1e6b2d77bfb65",
"trx_in_block": 9,
"virtual_op": true
}spaminatorflagged (-0.10%) @velsit / re-allfabeta-2026521t112435729z2026/05/21 12:29:45
spaminatorflagged (-0.10%) @velsit / re-allfabeta-2026521t112435729z
2026/05/21 12:29:45
| author | velsit |
| permlink | re-allfabeta-2026521t112435729z |
| voter | spaminator |
| weight | -10 (-0.10%) |
| Transaction Info | Block #106575839/Trx 55d5b6bab290590b11a0dc0428e1e6b2d77bfb65 |
View Raw JSON Data
{
"block": 106575839,
"op": [
"vote",
{
"author": "velsit",
"permlink": "re-allfabeta-2026521t112435729z",
"voter": "spaminator",
"weight": -10
}
],
"op_in_trx": 0,
"timestamp": "2026-05-21T12:29:45",
"trx_id": "55d5b6bab290590b11a0dc0428e1e6b2d77bfb65",
"trx_in_block": 9,
"virtual_op": false
}Manabar
Voting Power0.00%
Downvote Power0.00%
Resource Credits100.00%
Reputation Progress0.00%
{
"voting_manabar": {
"current_mana": 0,
"last_update_time": 1755010842
},
"downvote_manabar": {
"current_mana": 0,
"last_update_time": 1755010842
},
"rc_account": {
"account": "velsit",
"delegated_rc": 0,
"max_rc": 7998964492,
"max_rc_creation_adjustment": {
"amount": "4986384112",
"nai": "@@000000037",
"precision": 6
},
"rc_manabar": {
"current_mana": 2298846517,
"last_update_time": 1780482411
},
"received_delegated_rc": 3012580380
}
}Account Metadata
| POSTING JSON METADATA | |
| None | |
| JSON METADATA | |
| None |
{
"posting_json_metadata": {},
"json_metadata": []
}Auth Keys
Owner
Single Signature
Public Keys
STM85HsKSiWmNZdNwq7a1U872nAam4GBQgVy3BQYgBaVtn7d4URMm1/1
Active
Single Signature
Public Keys
STM6mPWoxpYkVUMeNNqvdtgaCSm1D7JrWADzgBTDGBjGkGCtET9RD1/1
Posting
Single Signature
Public Keys
STM53LsscntrEdizZg73FyNJdYZmJubBjW5Ruzyd5Xr6XSdW986pe1/1
Memo
STM89B9W1vrA4YWq9TkSbpZK1BouSaexS8GLDzc7ufiAaq2i8T32Y
{
"owner": {
"account_auths": [],
"key_auths": [
[
"STM85HsKSiWmNZdNwq7a1U872nAam4GBQgVy3BQYgBaVtn7d4URMm",
1
]
],
"weight_threshold": 1
},
"active": {
"account_auths": [],
"key_auths": [
[
"STM6mPWoxpYkVUMeNNqvdtgaCSm1D7JrWADzgBTDGBjGkGCtET9RD",
1
]
],
"weight_threshold": 1
},
"posting": {
"account_auths": [
[
"ecency.app",
1
],
[
"hive.blog",
1
],
[
"peakd.app",
1
],
[
"www.waivio.com",
1
]
],
"key_auths": [
[
"STM53LsscntrEdizZg73FyNJdYZmJubBjW5Ruzyd5Xr6XSdW986pe",
1
]
],
"weight_threshold": 1
},
"memo": "STM89B9W1vrA4YWq9TkSbpZK1BouSaexS8GLDzc7ufiAaq2i8T32Y"
}Witness Votes
0 / 30
No active witness votes.
[]