Algosys College Basketball

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Jason Breckenridge

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

Observed career performance

408:00 minutes logged

Games logged
27
Minutes per game
15:07
Points per game
3.4
Rebounds / assists per game
2.3 / 0.9
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game3.42.30.90.50.01.71.6
Per 40 minutes8.96.22.31.30.14.64.2
Season totals9163231314743
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG32–11029.1%4.110.8
2P29–10029.0%3.79.8
3P3–1030.0%†0.41.0
FT24–4553.3%1.74.4
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
30.5%35.1%9.1%40.9%0.49

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 BreckenridgePrairie View 1812:502.72.30.98.30.0%†59.3%32.5%†
2006 Jason BreckenridgePrairie View 9Few games19:404.82.30.89.737.5%†44.4%†38.4%†

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