UC Riverside Highlanders
2026 Team Stats (27 games)
63.4
PPG
66.7
Opp
-3.3
Margin
38.9%
FG%
29.4%
3P%
74.2%
FT%
34.4
RPG
13.4
APG
15.7
TO
80.0
Pace
58.8
AdjO
64.9
AdjD
#238
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 → | 949 (#218) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 825 (#284) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 928 (#501) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -5.8 (#230) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +4.0 (#271) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.300 (#239) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.317 (#227) | NetEff -5.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.399 (#193) | AdjNet -3.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.287 (#228) | AdjNet -7.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.364 (#238) | AdjO 58.8 | AdjD 64.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.447 (#356) | AdjO 62.7 | AdjD 65.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.578 (#255) | 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 → | 0.540 (#259) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 902 (#397) | RD 133 | GP 27 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
H. Wickstrom
|
G | 25 | 34.3 | 23.6 | 7.0 | 2.8 | 2.6 | 0.2 | 3.1 | 17.7 | 15.4 | 23 | 1.2 | 1.6 | 47.4 | 34.6 | 85.2 | 0.73 | 58.1 | 52.4 |
A. Stanton
|
G | 3 | 26.3 | 11.0 | 1.0 | 1.7 | 0.7 | 0.0 | 4.3 | 10.0 | 0.0 | 11 | 2.8 | 3.8 | 50.0 | 0.0 | 30.0 | 0.51 | 48.0 | 50.0 |
S. Hackley
|
G | 27 | 29.3 | 10.0 | 3.5 | 2.0 | 1.6 | 0.4 | 1.4 | 8.6 | 7.4 | 45 | 2.1 | 3.5 | 34.8 | 32.9 | 85.1 | 1.7 | 49.2 | 40.8 |
K. Polk
|
G | 27 | 32.8 | 7.3 | 3.1 | 3.7 | 0.9 | 0.3 | 2.7 | 7.1 | 5.6 | 15 | 0.7 | 1.1 | 31.9 | 29.3 | 81.2 | -1.19 | 46.4 | 41.4 |
S. Duchemin
|
G | 2 | 23.0 | 6.5 | 5.5 | 0.5 | 1.0 | 1.0 | 1.5 | 7.5 | 5.5 | 1 | 0.3 | 0.6 | 26.7 | 50.0 | 100.0 | -0.5 | 38.8 | 30.0 |
T. Swanson
|
G | 27 | 17.3 | 6.0 | 3.0 | 0.6 | 0.9 | 0.3 | 1.4 | 5.3 | 4.0 | 18 | 0.9 | 1.6 | 39.2 | 34.8 | 73.3 | -1.37 | 49.4 | 44.8 |
M. Chocano
|
G | 27 | 22.4 | 5.7 | 3.8 | 0.8 | 0.6 | 0.1 | 1.3 | 6.0 | 3.7 | -20 | -1.0 | -2.3 | 31.3 | 27.7 | 71.0 | -2.74 | 43.9 | 40.8 |
B. Shine
|
F | 27 | 28.1 | 4.7 | 5.0 | 1.9 | 1.0 | 0.5 | 1.2 | 5.1 | 6.7 | 46 | 2.2 | 3.7 | 39.9 | 16.1 | 32.4 | 1.94 | 41.2 | 41.7 |
M. Minshall
|
G | 27 | 15.6 | 3.7 | 1.8 | 0.6 | 0.3 | 0.0 | 1.5 | 3.7 | 1.2 | 5 | 0.2 | 0.6 | 38.6 | 30.4 | 38.5 | -0.03 | 46.9 | 47.0 |
L. Moreno Tallon
|
F | 25 | 7.7 | 1.3 | 1.4 | 0.1 | 0.2 | 0.3 | 0.3 | 1.5 | 1.6 | 5 | 0.3 | 1.7 | 40.5 | 0.0 | 50.0 | 0.62 | 41.6 | 40.5 |
M. Mejia
|
G | 25 | 6.8 | 0.8 | 0.6 | 0.7 | 0.4 | 0.0 | 1.1 | 0.9 | 0.5 | -3 | -0.2 | -0.9 | 26.1 | 23.5 | 45.5 | -1.64 | 37.7 | 34.8 |
J. Cobbs
|
F | 7 | 9.3 | 0.7 | 1.3 | 1.1 | 0.6 | 0.0 | 0.6 | 2.0 | 1.1 | 0 | 0.0 | 0.0 | 14.3 | 0.0 | 50.0 | -1.44 | 16.8 | 14.3 |
D. Sylla
|
F | 16 | 5.6 | 0.4 | 0.4 | 0.0 | 0.0 | 0.2 | 0.4 | 0.5 | 0.1 | 8 | 0.6 | 3.0 | 37.5 | 0 | 0.0 | -0.86 | 33.8 | 37.5 |
Z. Tillery
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
T. Hill-Brown
|
F | 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