Algosys College Basketball

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Lucious Jordan

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

Observed career performance

1688:00 minutes logged

Games logged
55
Minutes per game
30:41
Points per game
11.4
Rebounds / assists per game
4.0 / 1.9
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game11.44.01.91.30.12.12.0
Per 40 minutes14.95.22.41.80.12.72.6
Season totals627218103746116108
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG218–52841.3%9.612.5
2P150–35342.5%6.48.4
3P68–17538.9%3.24.1
FT123–18566.5%3.44.4
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
47.7%51.4%33.1%35.0%0.89

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%
2005 Lucious JordanSUNY Albany 2536:2214.54.62.215.934.5%67.0%50.2%
2006 Lucious JordanSUNY Albany 3025:588.83.41.613.646.8%65.7%53.3%

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
2006Not applicabletraining: in model fitNo model-implied value is published.
2005Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology