Algosys College Basketball

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Jason McLeish

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

Observed career performance

1674:00 minutes logged

Games logged
54
Minutes per game
31:00
Points per game
13.3
Rebounds / assists per game
2.7 / 1.8
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game13.32.71.81.40.22.32.4
Per 40 minutes17.13.42.41.80.32.93.0
Season totals716144997713122127
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG234–52844.3%9.812.6
2P158–35145.0%6.58.4
3P76–17742.9%3.34.2
FT172–22177.8%4.15.3
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
51.5%57.3%33.5%41.9%0.81

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 Jason McLeishE Kentucky 2729:538.72.61.611.633.3%72.4%48.1%
2006 Jason McLeishE Kentucky 2732:0717.92.72.122.248.2%80.7%63.1%

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