Algosys College Basketball

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Cameron Goettsche

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

Observed career performance

1014:00 minutes logged

Games logged
42
Minutes per game
24:09
Points per game
7.5
Rebounds / assists per game
5.3 / 0.8
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game7.55.30.80.71.31.52.2
Per 40 minutes12.58.81.41.12.12.53.6
Season totals3162233529546392
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG131–26250.0%6.210.3
2P130–25650.8%6.110.1
3P1–616.7%†0.10.2
FT53–9953.5%2.43.9
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
50.2%51.7%2.3%37.8%0.56

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 Cameron GoettscheUC Santa Barbara 1627:117.76.70.911.325.0%†43.8%48.0%
2006 Cameron GoettscheUC Santa Barbara 2622:167.44.50.813.30.0%†58.2%54.4%

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