Algosys College Basketball

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Marcio Lassiter

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

Observed career performance

1098:00 minutes logged

Games logged
60
Minutes per game
18:18
Points per game
6.3
Rebounds / assists per game
2.1 / 1.2
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game6.32.11.20.60.11.01.8
Per 40 minutes13.74.62.71.40.22.24.0
Season totals3751257338661110
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG125–31439.8%5.211.4
2P65–12651.6%2.14.6
3P60–18831.9%3.16.8
FT65–7487.8%1.22.7
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
49.4%54.1%59.9%23.6%1.20

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%
2008 Marcio LassiterCS Fullerton 3010:103.61.10.614.038.8%†100.0%†60.9%†
2009 Marcio LassiterCS Fullerton 3026:268.93.11.813.529.5%83.9%51.8%

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
2009Not applicabletraining: in model fitNo model-implied value is published.
2008Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology