Algosys College Basketball

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Raivis Scerbinskis

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

Observed career performance

49:29 minutes logged Under 100 minutes

Games logged
13
Minutes per game
3:48
Points per game
1.2
Rebounds / assists per game
0.5 / 0.1
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game1.20.50.10.00.00.10.3
Per 40 minutes12.14.90.80.00.00.83.2
Season totals15610014
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG5–1926.3%†1.515.4
2P0–10.0%†0.10.8
3P5–1827.8%†1.414.6
FT0–0—0.00.0
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
39.5%†39.5%†94.7%†0.0%†1.00

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); the field-goal floor applies to the derived rates above. 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%
2018 Raivis ScerbinskisWinthrop 5Few games1:070.60.20.021.520.0%†—25.0%†
2019 Raivis ScerbinskisWinthrop 8Few games5:291.50.60.110.930.8%†—46.2%†

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
2019Not applicabledevelopment: in model selectionNo model-implied value is published.
2018Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology