Rider Broncs
2026 Team Stats (26 games)
64.8
PPG
77.4
Opp
-12.6
Margin
39.7%
FG%
27.3%
3P%
70.4%
FT%
34.9
RPG
10.6
APG
10.8
TO
78.2
Pace
62.9
AdjO
80.1
AdjD
#352
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 → | 709 (#349) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 681 (#357) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 883 (#683) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -17.6 (#353) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.6 (#382) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.088 (#358) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.045 (#339) | NetEff -24.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.055 (#357) | AdjNet -24.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.053 (#357) | AdjNet -24.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.173 (#352) | AdjO 62.9 | AdjD 80.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.318 (#686) | AdjO 67.5 | AdjD 75.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.350 (#435) | 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 → | 0.327 (#477) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 750 (#690) | RD 175 | GP 26 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
F. Burton
|
- | 26 | 32.2 | 15.7 | 3.2 | 2.8 | 1.3 | 0.2 | 2.1 | 13.7 | 7.6 | -226 | -10.8 | -16.0 | 39.0 | 30.8 | 80.4 | -1.91 | 50.7 | 45.4 |
Z. Cruz
|
- | 26 | 32.6 | 13.9 | 2.9 | 2.0 | 0.9 | 0.2 | 1.5 | 14.3 | 4.0 | -167 | -8.8 | -13.1 | 38.3 | 30.3 | 72.0 | -0.99 | 45.8 | 43.7 |
Caleb Smith
|
- | 26 | 29.4 | 7.3 | 7.1 | 1.6 | 1.2 | 0.2 | 1.1 | 5.8 | 10.5 | -171 | -8.1 | -13.4 | 40.0 | 25.0 | 65.3 | -1.29 | 49.2 | 42.0 |
S. Fuller
|
- | 26 | 21.6 | 7.0 | 6.0 | 0.8 | 0.4 | 1.0 | 1.0 | 5.3 | 8.8 | -163 | -7.8 | -16.7 | 49.6 | 0.0 | 65.2 | -1.13 | 54.0 | 49.6 |
D. Bynum
|
F | 25 | 19.4 | 6.0 | 3.4 | 0.5 | 0.5 | 0.5 | 1.0 | 5.8 | 4.0 | -109 | -5.5 | -13.8 | 41.4 | 18.2 | 71.1 | -0.72 | 46.1 | 42.1 |
D. Helterhoff
|
F | 22 | 9.5 | 4.0 | 1.9 | 0.4 | 0.0 | 0.1 | 0.6 | 2.3 | 3.4 | -62 | -3.9 | -17.4 | 60.0 | 0.0 | 75.0 | -0.63 | 66.1 | 60.0 |
Mohamad Diallo
|
- | 16 | 9.4 | 3.1 | 2.8 | 0.3 | 0.1 | 0.6 | 0.8 | 2.4 | 3.7 | -52 | -3.5 | -18.1 | 60.5 | 0 | 36.4 | -0.87 | 58.4 | 60.5 |
A. Wilson
|
- | 23 | 11.7 | 2.5 | 1.4 | 0.7 | 0.2 | 0.3 | 0.5 | 3.2 | 1.3 | -84 | -4.7 | -16.0 | 27.4 | 11.1 | 77.8 | -0.61 | 35.2 | 29.5 |
C. McCabe
|
- | 25 | 12.8 | 2.5 | 2.1 | 0.4 | 0.3 | 0.4 | 0.4 | 2.6 | 2.7 | -84 | -4.2 | -16.0 | 32.8 | 20.8 | 80.0 | -0.8 | 43.3 | 36.7 |
Ab Coulibaly
|
- | 26 | 10.7 | 2.5 | 1.4 | 0.4 | 0.4 | 0.1 | 0.5 | 2.6 | 1.6 | -67 | -3.2 | -14.2 | 32.4 | 27.6 | 60.0 | -0.7 | 41.7 | 38.2 |
D. Williams
|
G | 7 | 12.4 | 2.4 | 1.7 | 1.1 | 0.6 | 0.0 | 0.4 | 2.4 | 3.0 | -88 | -4.0 | -9.9 | 35.3 | 27.3 | 100.0 | -0.82 | 47.5 | 44.1 |
K. Kepežinskas
|
- | 14 | 8.9 | 1.4 | 0.4 | 0.3 | 0.1 | 0.0 | 0.6 | 1.6 | -0.1 | - | - | - | 21.7 | 20.0 | 66.7 | - | 35.2 | 28.3 |
Jamir Mcneil
|
- | 26 | 10.0 | 1.3 | 0.6 | 0.6 | 0.5 | 0.0 | 0.6 | 1.3 | 1.2 | -38 | -1.8 | -10.0 | 32.4 | 50.0 | 56.2 | -0.18 | 40.2 | 35.3 |
M. D'Alessandro
|
- | 4 | 2.2 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | -0.8 | 3 | 1.0 | 17.9 | 16.7 | 25.0 | 0 | 0.08 | 25.0 | 25.0 |
Xaviel Rodriguez
|
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