Algosys College Basketball

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Daivon Stephens

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

Observed career performance

104:29 minutes logged

Games logged
14
Minutes per game
7:28
Points per game
1.6
Rebounds / assists per game
0.6 / 0.1
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game1.60.60.10.20.10.30.6
Per 40 minutes8.83.10.41.10.41.53.1
Season totals23813148
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG8–2630.8%†1.910.0
2P4–1136.4%†0.84.2
3P4–1526.7%†1.15.7
FT3–742.9%†0.52.7
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
38.5%†39.5%†57.7%†26.9%†0.25

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); the field-goal floor applies to the derived rates above. 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%
2019 Daivon StephensE Michigan 9Few games7:081.10.40.16.20.0%†40.0%†49.0%†
2021 Daivon StephensCoastal Car 5Few games8:032.60.80.012.930.8%†50.0%†34.4%†

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
2021Not applicabledevelopment: in model selectionNo model-implied value is published.
2019Not applicabledevelopment: in model selectionNo model-implied value is published.

NIL methodology