Algosys College Basketball

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Reggie Upshaw Jr.

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

Observed career performance

1733:29 minutes logged

Games logged
57
Minutes per game
30:25
Points per game
13.8
Rebounds / assists per game
7.3 / 1.9
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game13.87.31.91.21.01.72.1
Per 40 minutes18.19.62.51.51.32.32.8
Season totals784418110675898121
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG294–57651.0%10.113.3
2P243–43655.7%7.610.1
3P51–14036.4%2.53.2
FT145–24359.7%4.35.6
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
55.5%57.4%24.3%42.2%1.12

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%
2015 Reggie Upshaw Jr.MTSU 5Few games26:3011.87.61.017.866.7%†68.4%†56.3%†
2016 Reggie Upshaw Jr.MTSU 2630:2713.48.02.017.638.2%48.2%53.3%
2017 Reggie Upshaw Jr.MTSU 2631:0714.56.62.018.632.9%75.9%62.0%

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
2017Not applicabletraining: in model fitNo model-implied value is published.
2016Not applicabletraining: in model fitNo model-implied value is published.
2015Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology