Algosys College Basketball

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Chinanu Onuaku

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

Observed career performance

960:46 minutes logged

Games logged
46
Minutes per game
20:53
Points per game
5.8
Rebounds / assists per game
5.8 / 1.0
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game5.85.81.00.91.51.62.7
Per 40 minutes11.211.22.01.73.03.15.1
Season totals26926848407175123
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG118–19062.1%4.17.9
2P118–18962.4%4.17.9
3P0–10.0%†0.00.0
FT33–5856.9%1.32.4
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
62.1%62.4%0.5%30.5%0.64

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%
2015 Chinanu OnuakuLouisville 2718:583.24.90.46.7—48.0%60.6%†
2016 Chinanu OnuakuLouisville 1923:379.67.22.016.30.0%†63.6%63.3%

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
2016Not applicabletraining: in model fitNo model-implied value is published.
2015Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology