Algosys College Basketball

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Jarvis Garner

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

Observed career performance

796:41 minutes logged

Games logged
27
Minutes per game
29:30
Points per game
13.6
Rebounds / assists per game
6.8 / 1.2
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game13.66.81.20.80.32.42.5
Per 40 minutes18.59.21.61.10.53.33.4
Season totals368183322296668
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG129–33438.6%12.416.8
2P90–21342.3%7.910.7
3P39–12132.2%4.56.1
FT71–10468.3%3.95.2
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
44.5%48.5%36.2%31.1%0.48

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%
2012 Jarvis GarnerCent Arkansas 6Few games21:147.24.81.013.540.0%†52.9%†45.3%†
2013 Jarvis GarnerCent Arkansas 2131:5215.57.31.219.431.9%71.3%48.9%

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
2013Not applicabletraining: in model fitNo model-implied value is published.
2012Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology