Algosys College Basketball

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Lucas Campbell

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

Observed career performance

18:24 minutes logged Few gamesUnder 100 minutes

Games logged
6
Minutes per game
3:04
Points per game
1.5
Rebounds / assists per game
0.3 / 0.2
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game1.50.30.20.20.00.00.0
Per 40 minutes19.64.32.22.20.00.00.0
Season totals9211000
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG2–633.3%†1.013.0
2P1–425.0%†0.78.7
3P1–250.0%†0.34.3
FT4–666.7%†1.013.0
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
41.7%†52.1%†33.3%†100.0%†—

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); the field-goal floor applies to the derived rates above. 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%
2017 Lucas CampbellTennessee 3Few games3:431.30.00.014.4—66.7%†75.8%†
2019 Lucas CampbellTennessee 3Few games2:251.70.70.327.550.0%†—41.7%†

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
2019Not applicabledevelopment: in model selectionNo model-implied value is published.
2017Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology