Algosys College Basketball

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Lorenzo Bonam

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

Observed career performance

1231:30 minutes logged

Games logged
43
Minutes per game
28:38
Points per game
12.2
Rebounds / assists per game
3.5 / 3.3
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game12.23.53.31.10.51.91.7
Per 40 minutes17.14.94.61.60.72.72.4
Season totals52515014348228275
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG195–35055.7%8.111.4
2P162–26062.3%6.08.4
3P33–9036.7%2.12.9
FT102–12581.6%2.94.1
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
60.4%64.8%25.7%35.7%1.74

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 Lorenzo BonamUtah 2426:3710.83.33.216.244.1%†86.0%61.7%
2017 Lorenzo BonamUtah 1931:1114.13.73.518.032.1%77.9%68.1%

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