Algosys College Basketball

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Michael Chambers

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

Observed career performance

542:00 minutes logged

Games logged
45
Minutes per game
12:03
Points per game
4.3
Rebounds / assists per game
1.1 / 0.4
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game4.31.10.40.20.00.70.8
Per 40 minutes14.33.71.20.80.02.32.6
Season totals19450161103135
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG63–17935.2%4.013.2
2P34–7843.6%†1.75.8
3P29–10128.7%2.27.5
FT39–5570.9%1.24.1
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
43.3%47.7%56.4%30.7%0.52

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 Michael ChambersUC Santa Barbara 2610:583.91.20.214.325.0%64.7%45.6%†
2006 Michael ChambersUC Santa Barbara 1913:324.81.10.614.333.3%†81.0%†50.4%†

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

NIL methodology