Algosys College Basketball

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Duda Sanadze

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

Observed career performance

1085:58 minutes logged

Games logged
43
Minutes per game
25:15
Points per game
12.5
Rebounds / assists per game
3.5 / 0.9
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game12.53.50.90.60.21.92.5
Per 40 minutes19.85.51.40.90.43.03.9
Season totals53814937241082107
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG182–47638.2%11.117.5
2P118–26145.2%6.19.6
3P64–21529.8%5.07.9
FT110–14376.9%3.35.3
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
45.0%49.9%45.2%30.0%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%
2014 Duda SanadzeSan Diego 2327:1413.33.40.719.531.1%77.6%53.8%
2016 Duda SanadzeSan Diego 2022:5911.63.51.120.228.0%75.9%45.6%

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
2016Not applicabletraining: in model fitNo model-implied value is published.
2014Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology