Algosys College Basketball

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Ko Yada

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

Observed career performance

266:00 minutes logged

Games logged
36
Minutes per game
7:23
Points per game
1.1
Rebounds / assists per game
0.5 / 0.5
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game1.10.50.50.10.00.70.9
Per 40 minutes6.02.62.70.60.03.85.1
Season totals401718402534
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG14–5525.5%†1.58.3
2P3–1225.0%†0.31.8
3P11–4325.6%†1.26.5
FT1–333.3%†0.10.5
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
35.5%†35.5%†78.2%†5.5%†0.72

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%
2005 Ko YadaHarvard 9Few games1:270.00.00.20.00.0%†—0.0%†
2006 Ko YadaHarvard 279:221.50.60.66.326.8%†33.3%†37.5%†

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
2006Not applicabletraining: in model fitNo model-implied value is published.
2005Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology