Algosys College Basketball

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Bryan Ayala

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

Observed career performance

1250:00 minutes logged

Games logged
39
Minutes per game
32:03
Points per game
12.8
Rebounds / assists per game
3.3 / 3.7
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game12.83.33.71.90.13.72.7
Per 40 minutes16.04.24.72.40.14.63.4
Season totals499130146763144106
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG157–47832.8%12.315.3
2P102–28535.8%7.39.1
3P55–19328.5%4.96.2
FT130–18769.5%4.86.0
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
38.6%44.5%40.4%39.1%1.01

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%
2008 Bryan AyalaNC Central 2631:1413.53.33.817.329.1%67.7%44.3%
2009 Bryan AyalaNC Central 1333:4211.43.53.613.526.9%73.7%45.1%

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
2009Not applicabletraining: in model fitNo model-implied value is published.
2008Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology