Algosys College Basketball

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Sidy Djitte

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

Observed career performance

1264:57 minutes logged

Games logged
85
Minutes per game
14:53
Points per game
3.4
Rebounds / assists per game
4.3 / 0.3
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game3.44.30.30.50.60.72.3
Per 40 minutes9.211.60.81.31.52.06.3
Season totals29036626414762198
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG110–21052.4%2.56.6
2P109–20852.4%2.46.6
3P1–250.0%†0.00.1
FT69–11460.5%1.33.6
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
52.6%55.7%1.0%54.3%0.42

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 Sidy DjitteClemson 268:481.12.70.04.9—20.0%†41.9%†
2015 Sidy DjitteClemson 2210:431.72.80.16.3—50.0%†54.5%†
2016 Sidy DjitteClemson 1516:235.14.30.312.5—60.0%61.1%†
2017 Sidy DjitteClemson 2225:136.77.80.810.750.0%†70.5%57.0%

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.
2015Not applicabletraining: in model fitNo model-implied value is published.
2014Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology