Algosys College Basketball

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Xavier Habersham

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

Observed career performance

815:48 minutes logged

Games logged
52
Minutes per game
15:41
Points per game
4.6
Rebounds / assists per game
1.9 / 1.1
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game4.61.91.10.30.10.61.6
Per 40 minutes11.74.82.70.70.31.64.0
Season totals23997561563381
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG83–18345.4%3.59.0
2P32–6747.8%†1.33.3
3P51–11644.0%2.25.7
FT22–3464.7%0.71.7
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
59.3%60.4%63.4%18.6%1.70

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%
2016 Xavier HabershamMTSU 2612:023.51.70.311.637.5%†52.9%†49.2%†
2017 Xavier HabershamMTSU 2619:205.72.01.811.848.5%76.5%†70.2%†

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
2017Not applicabletraining: in model fitNo model-implied value is published.
2016Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology