Algosys College Basketball

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Ryan Luther

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

Observed career performance

587:50 minutes logged

Games logged
45
Minutes per game
13:04
Points per game
4.2
Rebounds / assists per game
2.5 / 0.4
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game4.22.50.40.30.30.81.6
Per 40 minutes12.97.71.20.80.82.64.9
Season totals1901131712123872
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG69–12256.6%2.78.3
2P55–9458.5%†2.16.4
3P14–2850.0%†0.61.9
FT38–5865.5%1.33.9
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
62.3%64.4%23.0%47.5%0.45

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 Ryan LutherPittsburgh 12Under 100 minutes7:091.31.10.37.533.3%†20.0%†46.5%†
2016 Ryan LutherPittsburgh 2213:445.42.80.415.650.0%†66.7%66.9%†
2017 Ryan LutherPittsburgh 1118:105.13.50.511.255.6%†73.9%†66.5%†

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