Algosys College Basketball

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Ivan Rabb

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

Observed career performance

321:47 minutes logged

Games logged
10
Minutes per game
32:11
Points per game
15.8
Rebounds / assists per game
9.4 / 1.2
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game15.89.41.20.91.91.52.8
Per 40 minutes19.611.71.51.12.41.93.5
Season totals15894129191528
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG58–9064.4%†9.011.2
2P55–8763.2%†8.710.8
3P3–3100.0%†0.30.4
FT39–5570.9%5.56.8
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
66.1%†69.2%†3.3%†61.1%†0.80

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); the field-goal floor applies to the derived rates above. 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 Ivan RabbCalifornia 7Few games31:1414.68.90.718.7—73.3%66.9%†
2017 Ivan RabbCalifornia 3Few games34:2418.710.72.321.7100.0%†68.0%73.7%†

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