Algosys College Basketball

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James Johnson

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

Observed career performance

1734:00 minutes logged

Games logged
58
Minutes per game
29:54
Points per game
14.9
Rebounds / assists per game
8.4 / 1.7
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game14.98.41.71.41.52.43.0
Per 40 minutes19.911.32.21.92.03.34.0
Season totals864490978385142172
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG338–65251.8%11.215.0
2P291–49059.4%8.411.3
3P47–16229.0%2.83.7
FT141–20768.1%3.64.8
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
55.4%58.1%24.8%31.7%0.68

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%
2008 James JohnsonWake Forest 2829:1314.68.31.320.027.8%67.0%55.9%
2009 James JohnsonWake Forest 3030:3215.18.62.019.830.8%69.4%60.4%

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
2009Not applicabletraining: in model fitNo model-implied value is published.
2008Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology