UC Riverside
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
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. More → | 988 (#528) | HCA +109 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 871 (#691) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -7.0 (#269) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +6.2 (#287) | HCA +2.5 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. 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. More → | 0.099 (#312) | NetEff -19.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.240 (#276) | AdjNet -10.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.236 (#276) | AdjNet -10.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. 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. 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. 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. 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. 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. 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. 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. More → | 877 (#559) | RD 158 | GP 30 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. 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
|
- | 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
|
- | 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
|
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
|
- | 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.
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Amaury McKinney
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
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