Algosys College Basketball

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Darius Dawkins

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

Observed career performance

441:53 minutes logged

Games logged
24
Minutes per game
18:25
Points per game
8.0
Rebounds / assists per game
2.0 / 0.3
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game8.02.00.30.30.10.71.7
Per 40 minutes17.34.40.60.50.21.53.6
Season totals191497621740
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG66–14744.9%6.113.3
2P15–2853.6%†1.22.5
3P51–11942.9%5.010.8
FT8–1266.7%†0.51.1
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
62.2%62.7%81.0%8.2%0.41

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 Darius DawkinsJacksonville 8Few games29:5014.03.90.418.851.7%60.0%†69.0%†
2017 Darius DawkinsJacksonville 1612:424.91.10.315.633.9%71.4%†55.6%†

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