Algosys College Basketball

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Stane's Bufford

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

Observed career performance

1329:00 minutes logged

Games logged
58
Minutes per game
22:55
Points per game
8.4
Rebounds / assists per game
3.5 / 0.6
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game8.43.50.60.90.21.92.1
Per 40 minutes14.66.11.01.60.43.33.7
Season totals485202345212109123
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG167–40441.3%7.012.2
2P154–36242.5%6.210.9
3P13–4231.0%†0.71.3
FT138–19670.4%3.45.9
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
42.9%49.5%10.4%48.5%0.31

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 Stane's BuffordW Michigan 2817:547.03.80.415.644.4%†74.7%49.1%
2006 Stane's BuffordW Michigan 3027:369.73.20.814.027.3%†67.5%49.7%

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