Algosys College Basketball

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Daniel Regis

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

Observed career performance

165:47 minutes logged

Games logged
12
Minutes per game
13:49
Points per game
3.0
Rebounds / assists per game
2.8 / 0.5
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game3.02.80.50.30.40.42.4
Per 40 minutes8.78.21.41.01.21.27.0
Season totals3634645529
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG13–3537.1%†2.98.4
2P13–3339.4%†2.88.0
3P0–20.0%†0.20.5
FT10–2147.6%†1.85.1
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
37.1%†40.7%†5.7%†60.0%†1.20

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%
2018 Daniel RegisNicholls St 8Few games11:361.82.00.46.00.0%†30.8%†32.2%†
2019 Daniel RegisNicholls St 4Few games18:145.54.50.812.10.0%†75.0%†48.8%†

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
2019Not applicabledevelopment: in model selectionNo model-implied value is published.
2018Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology