UC Riverside
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
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. More β | 998 (#269) | HCA +115 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More β | 983 (#486) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More β | +20.4 (#223) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More β | +10.0 (#207) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. 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. More β | 0.458 (#136) | NetEff -1.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More β | 0.313 (#87) | AdjNet -6.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More β | 0.311 (#88) | AdjNet -6.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. 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. 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. 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. 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. 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. 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. More β | 1026 (#200) | RD 140 | GP 26 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. 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
|
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
|
- | 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
|
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
|
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
|
- | 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
|
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
|
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
|
- | 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
|
- | 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
|
- | 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
|
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
|
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
|
- | 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
|
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
|
- | 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
|
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
|
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
|
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
|
- | 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
|
- | 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
|
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©
|
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
|
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
|
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
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
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.
|
- | 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
|
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
|
- | 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
|
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
|
- | 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
|
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
|
- | 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