Algosys College Basketball

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Jason Dourisseau

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

Observed career performance

1486:00 minutes logged

Games logged
52
Minutes per game
28:35
Points per game
10.8
Rebounds / assists per game
6.4 / 1.5
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game10.86.41.50.90.32.42.8
Per 40 minutes15.19.02.11.30.43.43.8
Season totals560334784915125143
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG199–40748.9%7.811.0
2P188–36052.2%6.99.7
3P11–4723.4%†0.91.3
FT151–26157.9%5.07.0
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
50.2%53.7%11.5%64.1%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%
2005 Jason DourisseauNebraska 1925:169.94.91.315.721.1%†54.1%54.2%
2006 Jason DourisseauNebraska 3330:2911.37.31.614.825.0%†59.4%53.4%

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
2006Not applicabletraining: in model fitNo model-implied value is published.
2005Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology