Algosys College Basketball

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Dan Grunfeld

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

Observed career performance

1402:00 minutes logged

Games logged
47
Minutes per game
29:50
Points per game
14.7
Rebounds / assists per game
5.1 / 2.0
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game14.75.12.00.60.21.51.2
Per 40 minutes19.76.82.70.80.32.11.6
Season totals689238952797256
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG237–52545.1%11.215.0
2P192–39448.7%8.411.2
3P45–13134.4%2.83.7
FT170–21878.0%4.66.2
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
49.4%55.5%25.0%41.5%1.32

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 Dan GrunfeldStanford 2033:1817.85.61.921.443.9%74.0%58.8%
2006 Dan GrunfeldStanford 2727:1612.34.72.118.127.0%81.6%52.3%

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
2006Not applicabletraining: in model fitNo model-implied value is published.
2005Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology