Algosys College Basketball

Search teams and players

Type a team or player name. Results are alphabetical; players show their 2026 team. Up and Down move, Enter opens the highlighted result or the first one, Esc closes.

Nura Zanna

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

Observed career performance

926:34 minutes logged

Games logged
40
Minutes per game
23:10
Points per game
8.0
Rebounds / assists per game
6.4 / 0.3
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game8.06.40.30.60.42.03.6
Per 40 minutes13.711.10.61.00.63.56.3
Season totals31825714231582146
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG116–22551.6%5.69.7
2P116–22551.6%5.69.7
3P0–0—0.00.0
FT86–15555.5%3.96.7
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
51.6%54.2%0.0%68.9%0.17

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%
2015 Nura ZannaLIU Brooklyn 2124:448.96.30.314.4—55.4%52.1%
2016 Nura ZannaLIU Brooklyn 1921:266.96.50.412.9—55.6%57.6%†

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.
2015Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology