Algosys College Basketball

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Nathaniel Mason

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

Observed career performance

641:17 minutes logged

Games logged
46
Minutes per game
13:56
Points per game
5.3
Rebounds / assists per game
2.2 / 0.7
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game5.32.20.70.30.00.90.9
Per 40 minutes15.36.21.90.80.12.72.7
Season totals246100301324343
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG79–18941.8%4.111.8
2P58–12845.3%2.88.0
3P21–6134.4%1.33.8
FT67–9769.1%2.16.1
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
47.4%53.1%32.3%51.3%0.70

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%
2013 Nathaniel MasonSam Houston St 2614:446.22.50.716.734.9%†74.2%51.9%
2014 Nathaniel MasonSam Houston St 2012:554.31.80.613.333.3%†58.1%55.4%†

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
2014Not applicabletraining: in model fitNo model-implied value is published.
2013Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology