Algosys College Basketball

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Anias Saunders

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

Observed career performance

9:21 minutes logged Few gamesUnder 100 minutes

Games logged
9
Minutes per game
1:02
Points per game
0.6
Rebounds / assists per game
0.2 / 0.0
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game0.60.20.00.00.00.10.0
Per 40 minutes21.48.60.00.00.04.30.0
Season totals5200010
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG1–250.0%†0.28.6
2P0–10.0%†0.14.3
3P1–1100.0%†0.14.3
FT2–2100.0%†0.28.6
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
75.0%†86.8%†50.0%†100.0%†0.00

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%
2018 Anias SaundersRadford 7Few games1:090.70.30.024.9100.0%†100.0%†133.0%†
2019 Anias SaundersRadford 2Few games0:400.00.00.00.0——0.0%†

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
2019Not applicabledevelopment: in model selectionNo model-implied value is published.
2018Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology