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UC Riverside

Also known as: UC Riverside Highlanders
Program History

2022 Team Stats (1 games)

67.0
PPG
64.0
Opp
+3.5
Margin
40.7%
FG%
47.4%
3P%
100.0%
FT%
27.0
RPG
12.0
APG
9.0
TO
72.4
Pace

Model Outputs

2021-2022
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 β†’ 1062 (#229) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β†’ 1168 (#183) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More β†’ 998 (#269) HCA +115 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More β†’ 983 (#486) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More β†’ +20.4 (#223) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More β†’ +10.0 (#207) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More β†’ -18.4 (#558) HCA +2.4
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More β†’ 0.639 (#36) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -1.5 More β†’ 0.458 (#136) NetEff -1.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -6.8 More β†’ 0.313 (#87) AdjNet -6.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -6.9 More β†’ 0.311 (#88) AdjNet -6.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.6 | AdjD 68.0 More β†’ 0.559 (#173) AdjO 70.6 | AdjD 68.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.0 | AdjD 69.9 More β†’ 0.457 (#443) AdjO 68.0 | AdjD 69.9
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 β†’ 0.710 (#189) 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 β†’ 0.179 (#563) 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 β†’ 0.678 (#184) 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 β†’ 0.228 (#553) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 140 | GP 26 More β†’ 1026 (#200) RD 140 | GP 26
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More β†’ 934 (#318) RD 350 | GP 1

2022 Schedule & Results

2022 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. Sow A. Sow F 1 40.0 25.0 9.0 2.0 2.0 0.0 2.0 0.0 36.0 157 5.6 7.8 0 0 0 1.02 0 0
M. Bagley M. Bagley - 1 30.0 18.0 4.0 2.0 0.0 0.0 1.0 11.0 12.0 - - - 45.5 75.0 71.4 -0.13 63.9 59.1
C. Welp C. Welp F 1 29.0 15.0 13.0 2.0 1.0 1.0 0.0 0.0 32.0 46 1.8 2.7 0 0 0 0.41 0 0
T. Pulliam T. Pulliam G 1 32.0 15.0 4.0 1.0 0.0 0.0 2.0 0.0 18.0 189 6.1 8.2 0 0 0 1.31 0 0
Z. Pullin Z. Pullin - 26 35.1 14.7 5.7 4.5 0.8 0.0 2.3 1.3 22.0 56 2.1 2.4 44.1 25.0 68.2 0.15 437.3 45.6
J.P. Moorman II J.P. Moorman II F 6 28.0 12.0 6.8 2.8 1.0 0.0 2.0 6.0 14.7 54 1.9 3.7 44.4 33.3 100.0 0.19 97.6 51.4
D. Pickett D. Pickett G 21 33.1 11.9 3.8 2.6 1.6 0.0 1.6 0.9 17.4 77 3.0 3.7 47.4 60.0 100.0 0.7 628.8 63.2
C. McRae C. McRae - 22 29.9 10.9 7.7 2.5 0.4 0.6 2.3 1.2 18.5 29 1.0 1.4 34.6 0.0 62.5 0.04 404.8 34.6
F. Cameron F. Cameron - 26 31.0 10.8 4.2 1.5 1.0 0.1 1.4 1.7 14.5 - - - 53.5 51.5 100.0 0.74 322.3 73.3
W. Tattersall W. Tattersall - 26 26.8 7.9 3.0 1.1 0.5 0.2 0.8 1.5 10.3 89 3.2 4.8 28.2 17.4 0 0.94 264.1 33.3
R. Idehen R. Idehen F 1 11.0 6.0 2.0 0.0 0.0 0.0 0.0 0.0 8.0 93 3.4 9.0 0 0 0 0.54 0 0
Jhaylon Martinez Jhaylon Martinez C 1 13.0 6.0 3.0 0.0 0.0 1.0 1.0 6.0 3.0 53 1.9 7.3 50.0 0 0 0.47 50.0 50.0
C. Baker-Mazara C. Baker-Mazara - 1 14.0 6.0 6.0 0.0 0.0 1.0 0.0 0.0 13.0 86 2.8 8.4 0 0 0 0.7 0 0
D. Walker D. Walker G 2 13.5 5.5 1.0 0.0 0.0 0.0 1.0 0.0 5.5 -51 -1.6 -2.4 0 0 0 0.77 0 0
T. Taylor T. Taylor - 2 28.0 3.0 4.0 1.0 0.5 0.0 1.0 0.0 7.5 -72 -2.7 -3.6 0 0 0 0.32 0 0
L. Bockler L. Bockler G 1 1.0 3.0 0.0 0.0 0.0 0.0 0.0 0.0 3.0 14 1.2 11.2 0 0 0 0.02 0 0
D. Elkaz D. Elkaz G 20 9.2 2.8 0.8 0.2 0.2 0.1 0.2 0.7 3.0 -37 -1.5 -6.3 50.0 53.8 33.3 -0.67 165.3 75.0
D. Mading D. Mading F 22 11.5 2.6 1.8 0.2 0.2 0.1 0.7 0.6 3.5 10 0.4 1.2 21.4 14.3 80.0 -0.14 154.9 25.0
Q. Ford Q. Ford - 11 13.4 2.5 1.4 0.3 0.5 0.0 0.7 1.4 2.5 24 1.3 4.3 40.0 22.2 50.0 0.21 85.0 46.7
J. Martinez J. Martinez - 22 10.7 2.5 2.5 0.2 0.2 0.2 1.0 0.6 4.1 53 1.9 7.3 50.0 0 75.0 0.47 177.7 50.0
K. Colvin K. Colvin F 2 22.5 2.0 2.5 0.0 0.0 0.0 0.0 0.0 4.5 -78 -3.2 -6.1 0 0 0 -0.21 0 0
S. TourΓ© S. TourΓ© G 1 11.0 2.0 1.0 0.0 1.0 0.0 2.0 0.0 2.0 61 2.2 7.8 0 0 0 0.64 0 0
I. Lee I. Lee G 1 21.0 2.0 1.0 0.0 0.0 0.0 1.0 0.0 2.0 95 3.8 8.7 0 0 0 1.27 0 0
A. McWilliam A. McWilliam F 3 8.0 1.7 2.0 1.0 0.3 0.0 1.0 0.0 4.0 - - - 0 0 0 - 0 0
K. Jerome K. Jerome G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
A. Murphy A. Murphy F 1 7.0 0.0 2.0 0.0 0.0 0.0 1.0 0.0 1.0 -3 -0.1 -0.4 0 0 0 -0.41 0 0
K. Dinwiddie Jr. K. Dinwiddie Jr. - 1 6.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 1.0 -48 -1.5 -2.6 0 0 0 1.09 0 0
S. Williams S. Williams G 1 3.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -237 -8.5 -10.6 0 0 0 0.61 0 0
J. Cross J. Cross - 2 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -55 -2.3 -6.3 0 0 0 -0.99 0 0
C. McGill C. McGill F 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -9 -0.5 -2.1 0 0 0 -0.31 0 0
M. Dhal M. Dhal - 1 5.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 -17 -1.3 -14.1 0 0 0 -0.1 0 0
D. Esparza D. Esparza C 2 5.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 -61 -3.8 -20.9 0 0 0 -0.88 0 0
N. Olabode N. Olabode - 6 3.2 0.0 0.7 0.0 0.0 0.0 0.3 0.0 0.3 - - - 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