Algosys College Basketball

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Nick Gruninger

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

Observed career performance

994:16 minutes logged

Games logged
43
Minutes per game
23:07
Points per game
5.6
Rebounds / assists per game
2.3 / 3.0
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game5.62.33.00.90.01.71.9
Per 40 minutes9.64.05.21.60.02.93.3
Season totals2391001303907183
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG76–20636.9%4.88.3
2P47–11839.8%2.74.7
3P29–8833.0%2.03.5
FT58–6589.2%1.52.6
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
43.9%50.9%42.7%31.6%1.83

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%
2014 Nick GruningerUC Riverside 2023:045.12.92.68.838.5%†85.2%45.2%
2015 Nick GruningerUC Riverside 2323:106.01.83.310.328.6%†92.1%56.3%

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
2015Not applicabletraining: in model fitNo model-implied value is published.
2014Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology