Algosys College Basketball

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Will Graves

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

Observed career performance

353:00 minutes logged

Games logged
49
Minutes per game
7:12
Points per game
3.0
Rebounds / assists per game
1.8 / 0.5
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game3.01.80.50.20.10.60.9
Per 40 minutes16.810.02.61.00.63.24.8
Season totals1488823952842
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG53–12442.7%2.514.1
2P26–5547.3%†1.16.2
3P27–6939.1%1.47.8
FT15–2171.4%†0.42.4
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
53.6%55.5%55.6%16.9%0.82

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%
2008 Will GravesNorth Carolina 325:092.31.30.317.944.7%†58.3%†54.2%†
2009 Will GravesNorth Carolina 1711:044.42.70.715.732.3%†88.9%†57.0%†

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
2009Not applicabletraining: in model fitNo model-implied value is published.
2008Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology