Algosys College Basketball

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Jermaine Bucknor

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

Observed career performance

1681:00 minutes logged

Games logged
54
Minutes per game
31:08
Points per game
12.3
Rebounds / assists per game
5.0 / 1.7
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game12.35.01.71.10.61.82.6
Per 40 minutes15.86.42.21.40.72.33.3
Season totals66626993583197139
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG217–53540.6%9.912.7
2P90–18050.0%3.34.3
3P127–35535.8%6.68.4
FT105–13677.2%2.53.2
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
52.4%56.0%66.4%25.4%0.96

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 Jermaine BucknorRichmond 2629:2110.45.61.814.237.5%67.6%55.3%
2006 Jermaine BucknorRichmond 2832:4714.14.41.717.234.4%80.4%56.4%

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