Algosys College Basketball

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Aaseem Dixon

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

Observed career performance

1462:38 minutes logged

Games logged
45
Minutes per game
32:30
Points per game
12.5
Rebounds / assists per game
3.3 / 2.0
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game12.53.32.00.90.01.51.6
Per 40 minutes15.34.02.51.10.01.81.9
Season totals561147924216670
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG195–49539.4%11.013.5
2P102–25140.6%5.66.9
3P93–24438.1%5.46.7
FT78–10177.2%2.22.8
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
48.8%52.0%49.3%20.4%1.39

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 Aaseem DixonNorthern Arizona 2330:5911.32.81.914.634.2%73.9%50.1%
2015 Aaseem DixonNorthern Arizona 2234:0513.73.82.216.141.4%80.0%53.7%

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

NIL methodology