Algosys College Basketball

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Jay Henderson

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

Observed career performance

37:14 minutes logged Under 100 minutes

Games logged
19
Minutes per game
1:58
Points per game
0.7
Rebounds / assists per game
0.2 / 0.2
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game0.70.20.20.10.00.10.2
Per 40 minutes15.04.33.22.10.02.14.3
Season totals14432024
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG5–1729.4%†0.918.3
2P3–742.9%†0.47.5
3P2–1020.0%†0.510.7
FT2–2100.0%†0.12.1
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
35.3%†39.1%†58.8%†11.8%†1.50

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 Jay HendersonLouisville 8Few games2:050.40.10.37.225.0%†—25.0%†
2017 Jay HendersonLouisville 11Under 100 minutes1:521.00.30.121.416.7%†100.0%†46.3%†

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
2017Not applicabletraining: in model fitNo model-implied value is published.
2016Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology