Algosys College Basketball

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Lorenzo McCloud

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

Observed career performance

1132:59 minutes logged

Games logged
38
Minutes per game
29:49
Points per game
11.5
Rebounds / assists per game
3.0 / 3.8
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game11.53.03.81.00.12.72.0
Per 40 minutes15.44.05.21.30.13.62.7
Season totals43711314637210277
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG130–34337.9%9.012.1
2P105–25241.7%6.68.9
3P25–9127.5%2.43.2
FT152–19876.8%5.27.0
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
41.5%50.8%26.5%57.7%1.43

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%
2012 Lorenzo McCloudPacific 1929:0010.82.83.615.014.9%†75.2%46.1%
2013 Lorenzo McCloudPacific 1930:3812.23.24.115.940.9%†78.5%55.8%

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
2013Not applicabletraining: in model fitNo model-implied value is published.
2012Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology