Algosys College Basketball

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Wes Alcegaire

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

Observed career performance

1320:59 minutes logged

Games logged
47
Minutes per game
28:06
Points per game
10.9
Rebounds / assists per game
3.8 / 1.1
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game10.93.81.10.70.41.82.6
Per 40 minutes15.55.41.61.00.62.63.7
Season totals51117753322186123
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG184–45140.8%9.613.7
2P120–24948.2%5.37.5
3P64–20231.7%4.36.1
FT79–11668.1%2.53.5
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
47.9%50.9%44.8%25.7%0.62

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%
2016 Wes AlcegaireBowling Green 2528:0410.33.60.814.733.0%75.9%52.5%
2017 Wes AlcegaireBowling Green 2228:0911.54.01.516.430.1%61.3%49.4%

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
2017Not applicabletraining: in model fitNo model-implied value is published.
2016Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology