Algosys College Basketball

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Erik Durham

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

Observed career performance

1148:12 minutes logged

Games logged
35
Minutes per game
32:48
Points per game
10.6
Rebounds / assists per game
4.3 / 1.8
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game10.64.31.80.70.21.01.7
Per 40 minutes12.95.22.20.80.21.32.0
Season totals371150642463658
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG129–27746.6%7.99.6
2P55–10950.5%3.13.8
3P74–16844.0%4.85.9
FT39–6065.0%1.72.1
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
59.9%61.1%60.6%21.7%1.78

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 Erik DurhamJacksonville St 1127:5410.23.61.314.636.1%66.7%†50.9%
2017 Erik DurhamJacksonville St 2435:0310.84.62.112.348.6%64.3%66.9%

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