Algosys College Basketball

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Adrian Tigert

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

Observed career performance

1700:00 minutes logged

Games logged
55
Minutes per game
30:55
Points per game
11.3
Rebounds / assists per game
7.0 / 2.5
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game11.37.02.50.80.61.62.3
Per 40 minutes14.69.03.31.10.82.13.0
Season totals620383139463288129
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG239–42556.2%7.710.0
2P200–32262.1%5.97.6
3P39–10337.9%1.92.4
FT103–14670.5%2.73.4
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
60.8%63.4%24.2%34.4%1.58

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 Adrian TigertWI Milwaukee 2731:079.16.82.311.739.1%73.3%65.7%
2006 Adrian TigertWI Milwaukee 2830:4313.47.12.817.435.9%†68.6%61.9%

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