Algosys College Basketball

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Jihad Muhammad

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

Observed career performance

1612:00 minutes logged

Games logged
60
Minutes per game
26:52
Points per game
10.8
Rebounds / assists per game
3.0 / 2.5
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game10.83.02.50.90.22.02.5
Per 40 minutes16.04.53.81.40.23.03.7
Season totals6461801535610119149
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG224–59337.8%9.914.7
2P112–25843.4%4.36.4
3P112–33533.4%5.68.3
FT86–11078.2%1.82.7
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
47.2%50.4%56.5%18.5%1.29

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 Jihad MuhammadCincinnati 3025:4410.33.02.816.032.7%76.1%49.6%
2006 Jihad MuhammadCincinnati 3028:0011.33.02.316.134.1%81.4%51.1%

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