Algosys College Basketball

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Antonio Blakeney

Only corroborated player-season records; not complete career coverage.

Observed career performance

1335:23 minutes logged

Games logged
42
Minutes per game
31:48
Points per game
14.2
Rebounds / assists per game
4.0 / 1.4
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game14.24.01.40.70.11.31.5
Per 40 minutes17.95.11.70.80.11.61.9
Season totals597170572845363
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG213–48843.6%11.614.6
2P147–29749.5%7.18.9
3P66–19134.6%4.55.7
FT105–14373.4%3.44.3
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
50.4%54.2%39.1%29.3%1.08

Combined corroborated seasons only; not complete career coverage. † marks a rate on fewer attempts than the floor (field goal 100, three-point 50, free throw 25). Floors are descriptive, not model output. Definitions

Linked seasons

Linked seasons, per-game and shooting rates. † marks a rate on fewer attempts than the declared floor.
SeasonTeamGMPGPtsRebAstPts/403P%FT%TS%
2016 Antonio BlakeneyLSU 2230:4911.63.20.915.132.3%80.6%53.9%
2017 Antonio BlakeneyLSU 2032:5217.15.01.920.737.0%67.9%54.4%

Career identity corroborated by repeated game, team and individual-statistic matches. Unlinked seasons are excluded.

Speculative compensation · 2025–26β

No speculative compensation is published for this player: there is no current-season team to read a pool from.

No revenue-sharing budget existed before the 2025–26 season, so no compensation figure is modelled for earlier seasons.

Model-implied value and speculative compensation by seasonβ

No model-implied value is published for this player: fewer than 300 on-court possessions in every season, or the team’s games were outside the lineup audit.

Seasons played, with no model-implied value published
SeasonTeamSpeculative compensation (best guess)Compensation 80% rangeSplit roleValue
2017Not applicabletraining: in model fitNo model-implied value is published.
2016Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology