Algosys College Basketball

Search teams and players

Type a team or player name. Results are alphabetical; players show their 2026 team. Up and Down move, Enter opens the highlighted result or the first one, Esc closes.

Jamal Lewis

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

Observed career performance

188:42 minutes logged

Games logged
21
Minutes per game
8:59
Points per game
2.4
Rebounds / assists per game
0.6 / 1.0
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game2.40.61.00.30.00.80.6
Per 40 minutes10.62.54.21.30.03.62.8
Season totals501220601713
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG18–5135.3%†2.410.8
2P17–3745.9%†1.87.8
3P1–147.1%†0.73.0
FT13–1968.4%†0.94.0
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
36.3%†42.1%†27.5%†37.3%†1.18

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%
2016 Jamal LewisPenn 218:592.40.61.010.67.1%†68.4%†42.1%†

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
2016Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology