Algosys College Basketball

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Roland Nyama

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

Observed career performance

1394:21 minutes logged

Games logged
67
Minutes per game
20:49
Points per game
7.2
Rebounds / assists per game
3.2 / 0.9
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game7.23.20.90.60.31.12.0
Per 40 minutes13.96.11.81.10.62.13.8
Season totals48421462382272133
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG164–37344.0%5.610.7
2P99–20847.6%3.16.0
3P65–16539.4%2.54.7
FT91–12473.4%1.93.6
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
52.7%56.6%44.2%33.2%0.86

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 Roland NyamaStony Brook 2525:588.23.71.412.641.3%68.6%56.2%
2016 Roland NyamaStony Brook 228:452.91.20.413.350.0%†84.2%†70.5%†
2017 Roland NyamaStony Brook 2027:3810.84.81.015.633.8%74.1%53.8%

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.

NIL methodology