Algosys College Basketball

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Michael Zangari

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

Observed career performance

605:22 minutes logged

Games logged
28
Minutes per game
21:37
Points per game
5.4
Rebounds / assists per game
3.7 / 0.7
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game5.43.70.70.30.30.92.7
Per 40 minutes9.96.91.30.60.61.75.0
Season totals15010420992675
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG53–12143.8%4.38.0
2P43–8650.0%†3.15.7
3P10–3528.6%†1.32.3
FT34–5068.0%1.83.3
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
47.9%52.4%28.9%41.3%0.77

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 Michael ZangariEast Carolina 7Few games25:453.94.70.66.00.0%†55.6%†46.6%†
2016 Michael ZangariEast Carolina 2120:155.93.40.811.631.3%†70.7%53.9%†

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
2016Not applicabletraining: in model fitNo model-implied value is published.
2015Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology