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.

Reggie Oliver

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

Observed career performance

233:30 minutes logged

Games logged
11
Minutes per game
21:14
Points per game
8.7
Rebounds / assists per game
2.7 / 2.4
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game8.72.72.40.80.01.82.2
Per 40 minutes16.45.14.51.50.03.44.1
Season totals963026902024
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG31–7342.5%†6.612.5
2P16–3743.2%†3.46.3
3P15–3641.7%†3.36.2
FT19–2770.4%2.54.6
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
52.7%†56.6%†49.3%†37.0%†1.30

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 Reggie OliverQuinnipiac 1121:148.72.72.416.441.7%†70.4%56.6%†

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.

NIL methodology