Algosys College Basketball

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Quadri Moore

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

Observed career performance

385:50 minutes logged

Games logged
48
Minutes per game
8:02
Points per game
2.6
Rebounds / assists per game
1.4 / 0.2
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game2.61.40.20.30.20.70.9
Per 40 minutes13.16.70.81.50.83.64.5
Season totals1266581483543
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG44–11040.0%2.311.4
2P34–8540.0%†1.88.8
3P10–2540.0%†0.52.6
FT28–3873.7%0.83.9
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
44.5%49.7%22.7%34.5%0.23

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%
2015 Quadri MooreCincinnati 188:182.51.10.312.033.3%†76.9%†46.2%†
2016 Quadri MooreCincinnati 168:422.71.80.112.316.7%†71.4%†48.7%†
2017 Quadri MooreCincinnati 14Under 100 minutes6:562.71.10.115.760.0%†72.7%†56.1%†

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

NIL methodology