Algosys College Basketball

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Shakir Brown

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

Observed career performance

640:27 minutes logged

Games logged
26
Minutes per game
24:38
Points per game
11.0
Rebounds / assists per game
5.8 / 1.3
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game11.05.81.30.70.31.52.8
Per 40 minutes17.89.52.11.10.52.44.6
Season totals285152341783974
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG93–23739.2%9.114.8
2P46–10842.6%4.26.7
3P47–12936.4%5.08.1
FT52–6580.0%2.54.1
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
49.2%53.7%54.4%27.4%0.87

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 Shakir BrownJames Madison 2324:5411.06.11.317.637.5%79.3%54.7%
2017 Shakir BrownJames Madison 3Few games22:3711.03.71.719.529.4%†85.7%†47.0%†

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