Algosys College Basketball

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Spencer Weisz

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

Observed career performance

2437:57 minutes logged

Games logged
77
Minutes per game
31:40
Points per game
10.3
Rebounds / assists per game
4.9 / 2.8
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game10.34.92.80.90.31.52.1
Per 40 minutes13.06.13.51.10.42.02.7
Season totals7913742127023119165
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG269–64941.4%8.410.6
2P149–29450.7%3.84.8
3P120–35533.8%4.65.8
FT133–17177.8%2.22.8
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
50.7%54.6%54.7%26.3%1.78

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%
2014 Spencer WeiszPrinceton 2027:517.84.61.811.126.6%67.9%51.9%
2015 Spencer WeiszPrinceton 1932:4811.84.52.514.438.9%83.0%62.1%
2016 Spencer WeiszPrinceton 2132:2110.95.13.413.538.1%82.1%56.4%
2017 Spencer WeiszPrinceton 1734:0210.85.23.512.729.7%80.8%47.8%

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.
2015Not applicabletraining: in model fitNo model-implied value is published.
2014Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology