Algosys College Basketball

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Zane Najdawi

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

Observed career performance

758:00 minutes logged

Games logged
36
Minutes per game
21:03
Points per game
11.8
Rebounds / assists per game
5.6 / 0.4
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game11.85.60.40.81.41.63.2
Per 40 minutes22.310.70.81.52.73.16.1
Season totals42320216285258115
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG138–28149.1%7.814.8
2P121–24349.8%6.812.8
3P17–3844.7%†1.12.0
FT130–15484.4%4.38.1
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
52.1%60.6%13.5%54.8%0.28

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 Zane NajdawiCitadel 1917:447.43.80.116.730.8%†83.0%58.9%†
2017 Zane NajdawiCitadel 1724:4616.67.60.826.852.0%†85.0%61.6%

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

NIL methodology