Algosys College Basketball

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Karrington Ward

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

Observed career performance

1383:03 minutes logged

Games logged
46
Minutes per game
30:04
Points per game
11.6
Rebounds / assists per game
6.2 / 0.6
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game11.66.20.61.20.80.81.4
Per 40 minutes15.48.30.81.61.11.01.9
Season totals5332872756373666
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG183–43741.9%9.512.6
2P120–25547.1%5.57.4
3P63–18234.6%4.05.3
FT104–16961.5%3.74.9
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
49.1%52.1%41.6%38.7%0.75

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%
2014 Karrington WardE Michigan 2128:5211.06.10.715.337.5%55.4%53.1%
2015 Karrington WardE Michigan 2531:0412.06.30.515.532.4%67.4%51.4%

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
2015Not applicabletraining: in model fitNo model-implied value is published.
2014Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology