Algosys College Basketball

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Telly Davenport

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

Observed career performance

88:03 minutes logged Under 100 minutes

Games logged
13
Minutes per game
6:46
Points per game
0.8
Rebounds / assists per game
1.1 / 0.8
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game0.81.10.80.10.21.11.2
Per 40 minutes5.06.44.50.50.96.46.8
Season totals111410121415
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG3–1225.0%†0.95.5
2P2–728.6%†0.53.2
3P1–520.0%†0.42.3
FT4–757.1%†0.53.2
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
29.2%†36.5%†41.7%†58.3%†0.71

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%
2016 Telly DavenportUtah Valley 2Few games18:112.53.01.55.50.0%†75.0%†37.0%†
2017 Telly DavenportUtah Valley 11Under 100 minutes4:420.50.70.64.650.0%†33.3%†36.1%†

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.

NIL methodology