Algosys College Basketball

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Lamar Butler

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

Observed career performance

1846:00 minutes logged

Games logged
58
Minutes per game
31:50
Points per game
13.2
Rebounds / assists per game
2.5 / 2.3
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game13.22.52.31.00.22.01.7
Per 40 minutes16.63.12.81.30.22.52.2
Season totals7671441315911116101
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG262–58944.5%10.212.8
2P124–23752.3%4.15.1
3P138–35239.2%6.17.6
FT105–14472.9%2.53.1
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
56.2%58.8%59.8%24.4%1.13

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%
2005 Lamar ButlerGeorge Mason 2531:2915.62.42.319.842.8%73.3%60.4%
2006 Lamar ButlerGeorge Mason 3332:0511.52.52.214.335.8%72.4%57.2%

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
2006Not applicabletraining: in model fitNo model-implied value is published.
2005Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology