Algosys College Basketball

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August Haas

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

Observed career performance

815:05 minutes logged

Games logged
30
Minutes per game
27:10
Points per game
4.9
Rebounds / assists per game
2.5 / 3.6
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game4.92.53.60.80.12.42.4
Per 40 minutes7.23.65.31.20.13.53.5
Season totals147741092427171
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG53–14436.8%4.87.1
2P34–8540.0%†2.84.2
3P19–5932.2%2.02.9
FT22–3857.9%1.31.9
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
43.4%45.7%41.0%26.4%1.54

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%
2017 August HaasWI Milwaukee 2728:055.02.53.77.232.1%55.9%46.0%
2018 August HaasWI Milwaukee 3Few games19:013.72.32.77.733.3%†75.0%†43.1%†

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
2018Not applicabletraining: in model fitNo model-implied value is published.
2017Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology