Algosys College Basketball

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Steve Gansey

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

Observed career performance

565:00 minutes logged

Games logged
45
Minutes per game
12:33
Points per game
4.4
Rebounds / assists per game
1.4 / 0.6
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game4.41.40.60.40.00.30.8
Per 40 minutes14.24.42.01.10.01.12.5
Season totals20062281601536
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG69–19335.8%4.313.7
2P20–4346.5%†1.03.0
3P49–15032.7%3.310.6
FT13–2454.2%†0.51.7
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
48.4%49.1%77.7%12.4%1.87

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 Steve GanseyCleveland St 2113:265.41.90.516.036.8%42.9%†54.3%
2006 Steve GanseyCleveland St 2411:483.61.00.812.328.4%58.8%†43.7%†

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