Algosys College Basketball

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Federico Mussini

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

Observed career performance

966:12 minutes logged

Games logged
44
Minutes per game
21:58
Points per game
8.7
Rebounds / assists per game
2.0 / 1.3
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game8.72.01.30.80.01.51.4
Per 40 minutes15.93.72.41.50.02.82.5
Season totals38390583616860
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG115–32335.6%7.313.4
2P41–11834.7%2.74.9
3P74–20536.1%4.78.5
FT79–9285.9%2.13.8
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
47.1%52.7%63.5%28.5%0.85

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%
2016 Federico MussiniSt John's 2026:369.62.31.814.430.8%85.2%47.6%
2017 Federico MussiniSt John's 2418:068.01.80.917.641.6%87.1%59.1%

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.

NIL methodology