Algosys College Basketball

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Stephen Spinella

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

Observed career performance

597:07 minutes logged

Games logged
31
Minutes per game
19:16
Points per game
6.1
Rebounds / assists per game
3.3 / 0.7
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game6.13.30.70.50.21.21.2
Per 40 minutes12.76.91.41.00.42.42.5
Season totals189103211563637
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG68–15543.9%5.010.4
2P48–9749.5%†3.16.5
3P20–5834.5%1.93.9
FT33–5164.7%1.63.4
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
50.3%53.3%37.4%32.9%0.58

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%
2011 Stephen SpinellaSouth Carolina 1411:142.51.50.18.935.3%†55.6%†44.9%†
2013 Stephen SpinellaMonmouth NJ 1725:529.14.81.214.034.1%†66.7%55.6%

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
2013Not applicabletraining: in model fitNo model-implied value is published.
2011Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology