Algosys College Basketball

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Armondo Surratt

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

Observed career performance

1711:00 minutes logged

Games logged
50
Minutes per game
34:13
Points per game
13.6
Rebounds / assists per game
2.2 / 4.3
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game13.62.24.31.70.13.22.6
Per 40 minutes15.92.55.02.00.13.73.0
Season totals682109215844160130
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG256–65339.2%13.115.3
2P171–37745.4%7.58.8
3P85–27630.8%5.56.5
FT85–11872.0%2.42.8
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
45.7%48.4%42.3%18.1%1.34

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%
2006 Armondo SurrattSan Francisco 2835:0614.22.55.116.227.7%69.0%45.4%
2007 Armondo SurrattSan Francisco 2233:0513.01.83.315.734.7%80.6%53.2%

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
2007Not applicabletraining: in model fitNo model-implied value is published.
2006Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology