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UC Riverside

Also known as: UC Riverside Highlanders
Program History

2026 Team Stats (30 games)

72.2
PPG
77.8
Opp
-5.6
Margin
42.7%
FG%
32.6%
3P%
74.3%
FT%
34.7
RPG
12.8
APG
13.2
TO
80.4
Pace
70.4
AdjO
77.8
AdjD
#270
Rank

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 846 (#298) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 795 (#325) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 988 (#528) HCA +109 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 871 (#691) HCA +109 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.2 More → -7.0 (#269) HCA +2.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → +6.2 (#287) HCA +2.5
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → -40.7 (#702) HCA +2.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.242 (#316) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -19.8 More → 0.099 (#312) NetEff -19.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -10.0 More → 0.240 (#276) AdjNet -10.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -10.1 More → 0.236 (#276) AdjNet -10.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.4 | AdjD 77.8 More → 0.338 (#270) AdjO 70.4 | AdjD 77.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.8 | AdjD 74.8 More → 0.432 (#546) AdjO 71.8 | AdjD 74.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.0 | AdjD 78.3 More → 0.321 (#682) AdjO 70.0 | AdjD 78.3
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.543 (#316) Blend of Elo, BT, Margin, PythLog, PtsOD
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.060 (#697) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.504 (#324) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.093 (#697) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 158 | GP 30 More → 877 (#559) RD 158 | GP 30
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 2 More → 860 (#599) RD 350 | GP 2

2026 Schedule & Results

2026 Roster

Minutes by Position

The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
A. Henderson A. Henderson - 30 33.1 17.8 4.6 2.1 0.9 0.9 2.0 15.4 8.9 -102 -4.4 -6.8 40.1 33.9 78.8 -0.16 52.7 49.0
M. Worthy M. Worthy - 30 34.8 15.9 4.7 3.0 1.2 0.4 3.3 11.6 10.3 -77 -3.5 -5.0 43.1 33.8 76.7 -0.15 56.4 49.7
Osiris Grady Osiris Grady F 30 30.8 10.2 5.7 1.6 0.4 0.7 1.9 8.9 7.8 -85 -3.7 -6.0 44.9 19.5 63.0 -0.44 49.8 46.4
BJ Kolly BJ Kolly - 28 24.5 8.6 5.4 1.4 0.6 1.4 2.5 6.2 8.7 -87 -4.1 -7.9 51.1 0.0 76.5 -0.14 57.2 51.1
D. Perteete Jr. D. Perteete Jr. - 26 27.5 6.8 3.2 2.5 0.9 0.2 1.0 4.7 7.9 -43 -3.1 -11.8 46.3 43.2 76.2 1.14 63.1 59.5
J. Daniel-Dalton J. Daniel-Dalton - 24 23.1 6.0 4.2 0.8 0.6 0.5 0.9 4.8 6.5 -70 -3.2 -6.6 44.0 17.9 67.9 -0.11 52.0 47.0
Ben Waller Ben Waller - 27 13.5 4.1 2.4 0.6 0.3 0.3 0.6 3.3 3.7 -16 -0.8 -3.8 40.0 35.9 77.4 0.05 53.1 47.8
D. Godfrey D. Godfrey - 23 9.6 3.4 1.4 0.6 0.3 0.1 0.6 3.3 1.9 -46 -2.6 -12.7 38.2 37.2 66.7 -1.12 49.6 48.7
Tyler Jones Tyler Jones - 28 13.2 2.8 1.3 0.9 0.5 0.0 0.3 2.5 2.7 -72 -3.4 -12.2 34.3 33.3 81.2 -0.36 51.3 47.1
D. Hines D. Hines - 6 9.7 1.3 2.7 0.5 0.5 0.2 1.0 1.7 2.5 -7 -1.0 -5.6 30.0 0.0 100.0 -0.22 36.8 30.0
Ej Spillman Ej Spillman - 12 3.4 0.8 0.2 0.2 0.1 0.0 0.1 1.2 0.0 -25 -2.8 -52.0 28.6 25.0 0 -0.52 32.1 32.1
D. Tobiloba D. Tobiloba - 8 3.2 0.2 1.1 0.0 0.1 0.1 0.0 0.8 0.9 17 2.1 43.6 16.7 0 0 0.24 16.7 16.7
P. Strauss P. Strauss G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Amaury McKinney Amaury McKinney F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Gavin Haase Gavin Haase G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG