Algosys College Basketball

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Chris De La Rosa

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

Observed career performance

1041:38 minutes logged

Games logged
51
Minutes per game
20:25
Points per game
8.0
Rebounds / assists per game
2.0 / 3.5
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game8.02.03.50.70.01.71.2
Per 40 minutes15.63.96.81.40.03.32.4
Season totals4061011773708563
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG147–35641.3%7.013.7
2P123–26845.9%5.310.3
3P24–8827.3%1.73.4
FT88–12968.2%2.55.0
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
44.7%49.2%24.7%36.2%2.08

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%
2008 Chris De La RosaSiena 309:402.60.61.610.825.0%†61.5%52.6%†
2011 Chris De La RosaUMBC 2135:4815.64.06.117.527.5%71.1%48.4%

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
2011Not applicabletraining: in model fitNo model-implied value is published.
2008Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology