Algosys College Basketball

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Jeff Teague

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

Observed career performance

1781:00 minutes logged

Games logged
58
Minutes per game
30:42
Points per game
16.0
Rebounds / assists per game
3.0 / 3.1
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game16.03.03.11.90.63.02.3
Per 40 minutes20.93.94.02.40.74.03.0
Season totals92917417910933176132
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG291–63745.7%11.014.3
2P222–46947.3%8.110.5
3P69–16841.1%2.93.8
FT278–34580.6%5.97.7
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
51.1%58.9%26.4%54.2%1.02

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%
2008 Jeff TeagueWake Forest 2829:2113.02.62.517.733.8%79.1%53.7%
2009 Jeff TeagueWake Forest 3031:5818.83.43.623.646.4%81.5%62.8%

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
2009Not applicabletraining: in model fitNo model-implied value is published.
2008Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology