Algosys College Basketball

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Ian Langendoerfer

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

Observed career performance

181:40 minutes logged

Games logged
31
Minutes per game
5:52
Points per game
1.1
Rebounds / assists per game
0.6 / 0.2
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game1.10.60.20.00.00.50.7
Per 40 minutes7.34.01.10.20.03.34.8
Season totals33185101522
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG9–3923.1%†1.38.6
2P7–2035.0%†0.64.4
3P2–1910.5%†0.64.2
FT13–1872.2%†0.64.0
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
25.6%†35.2%†48.7%†46.2%†0.33

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 Ian LangendoerferLoyola MD 215:251.00.40.07.410.0%†66.7%†37.6%†
2018 Ian LangendoerferLoyola MD 10Under 100 minutes6:481.21.00.47.111.1%†77.8%†31.6%†

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
2018Not applicabletraining: in model fitNo model-implied value is published.
2017Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology