Algosys College Basketball

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James Nunnally

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

Observed career performance

711:51 minutes logged

Games logged
32
Minutes per game
22:15
Points per game
8.3
Rebounds / assists per game
3.7 / 1.5
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game8.33.71.50.50.21.51.8
Per 40 minutes14.86.62.80.80.32.63.3
Season totals264117491554759
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG85–18645.7%5.810.5
2P61–11453.5%3.66.4
3P24–7233.3%2.34.0
FT70–8978.7%2.85.0
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
52.2%58.6%38.7%47.8%1.04

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%
2009 James NunnallyUC Santa Barbara 3021:228.03.41.615.035.6%78.3%59.5%
2011 James NunnallyUC Santa Barbara 2Few games35:2612.07.01.013.523.1%†83.3%†50.8%†

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
2011Not applicabletraining: in model fitNo model-implied value is published.
2009Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology