Algosys College Basketball

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Yolonzo Moore II

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

Observed career performance

1450:47 minutes logged

Games logged
46
Minutes per game
31:32
Points per game
8.8
Rebounds / assists per game
3.4 / 2.5
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game8.83.42.51.10.12.42.4
Per 40 minutes11.14.33.21.40.13.13.1
Season totals403155117505111112
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG129–32040.3%7.08.8
2P86–17549.1%3.84.8
3P43–14529.7%3.24.0
FT102–14570.3%3.24.0
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
47.0%52.5%45.3%45.3%1.05

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 Yolonzo Moore IIHartford 2730:369.72.92.912.638.0%71.3%58.4%
2015 Yolonzo Moore IIHartford 1932:527.54.12.19.121.6%68.2%44.3%

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