Algosys College Basketball

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Hayden Schenck

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

Observed career performance

855:01 minutes logged

Games logged
48
Minutes per game
17:49
Points per game
4.5
Rebounds / assists per game
3.3 / 1.4
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game4.53.31.40.80.31.22.5
Per 40 minutes10.17.33.21.90.62.85.7
Season totals21615768401259122
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG58–13343.6%2.86.2
2P43–8848.9%†1.84.1
3P15–4533.3%†0.92.1
FT85–11474.6%2.45.3
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
49.2%59.0%33.8%85.7%1.15

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%
2016 Hayden SchenckUtah Valley 1821:556.24.61.611.334.6%†82.8%59.3%†
2017 Hayden SchenckUtah Valley 2316:263.92.91.59.437.5%†62.8%57.1%†
2019 Hayden SchenckUtah Valley 7Few games11:472.31.10.77.80.0%†76.9%†68.3%†

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

NIL methodology