Bradley
2026 Team Stats (32 games)
77.5
PPG
73.7
Opp
+3.8
Margin
43.9%
FG%
35.7%
3P%
73.1%
FT%
34.2
RPG
13.5
APG
9.6
TO
79.2
Pace
78.6
AdjO
74.8
AdjD
#117
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 → | 1073 (#127) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1100 (#91) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1003 (#181) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.2 (#125) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.1 (#132) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.603 (#112) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.755 (#91) | NetEff +9.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.646 (#114) | AdjNet +5.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.648 (#114) | AdjNet +5.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.584 (#117) | AdjO 78.6 | AdjD 74.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.565 (#160) | AdjO 77.0 | AdjD 74.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.809 (#120) | 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 → | 0.771 (#120) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1135 (#104) | RD 120 | GP 32 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Johnson
|
- | 32 | 30.4 | 16.9 | 4.0 | 3.6 | 2.6 | 0.0 | 1.4 | 12.3 | 13.5 | 113 | 5.4 | 16.0 | 42.2 | 37.0 | 77.7 | 0.86 | 56.0 | 48.6 |
A. Huibregtse
|
G | 32 | 31.6 | 13.0 | 2.9 | 1.8 | 0.8 | 0.2 | 1.0 | 10.0 | 7.8 | 27 | 1.7 | 7.3 | 43.9 | 43.2 | 84.4 | 0.32 | 61.4 | 59.2 |
D. Burch
|
- | 24 | 22.7 | 8.9 | 2.1 | 0.9 | 0.6 | 0.2 | 1.0 | 8.1 | 3.6 | -70 | -3.3 | -7.3 | 41.0 | 32.9 | 57.7 | -0.67 | 49.1 | 47.2 |
Montana Wheeler
|
- | 32 | 22.5 | 8.7 | 1.1 | 2.9 | 0.6 | 0.0 | 1.0 | 7.2 | 5.1 | 56 | 2.4 | 6.7 | 42.6 | 32.0 | 71.0 | 0.2 | 53.2 | 49.6 |
AJ Smith
|
F | 32 | 25.8 | 8.3 | 5.5 | 1.3 | 1.3 | 0.5 | 0.9 | 6.4 | 9.6 | -13 | -1.6 | -6.1 | 42.2 | 37.4 | 72.8 | 0.12 | 55.3 | 50.5 |
A. Jonovic
|
- | 32 | 24.9 | 8.2 | 5.3 | 1.4 | 0.5 | 1.2 | 1.5 | 5.4 | 9.8 | 29 | 1.3 | 3.0 | 52.9 | 20.0 | 75.0 | 0.74 | 59.8 | 53.2 |
T. van der Knaap
|
- | 32 | 23.1 | 6.6 | 4.7 | 0.5 | 0.8 | 0.2 | 0.8 | 5.6 | 6.3 | -10 | -0.4 | -1.1 | 43.0 | 23.4 | 65.6 | -0.37 | 50.9 | 47.2 |
C. Thomas
|
- | 32 | 18.8 | 5.4 | 3.6 | 0.8 | 0.6 | 0.6 | 0.8 | 3.9 | 6.3 | -32 | -1.4 | -4.9 | 50.4 | 34.5 | 74.3 | 0.2 | 61.3 | 58.4 |
K. Yu
|
C | 27 | 8.7 | 2.8 | 2.0 | 0.4 | 0.2 | 0.1 | 0.4 | 2.1 | 2.9 | -9 | -0.5 | -4.4 | 47.4 | 27.8 | 69.6 | -0.06 | 55.9 | 51.8 |
Dietrich Richardson
|
- | 16 | 6.5 | 1.8 | 0.7 | 0.4 | 0.3 | 0.1 | 1.1 | 1.7 | 0.6 | -2 | -0.5 | -9.2 | 33.3 | 11.1 | 69.2 | 0.02 | 42.8 | 35.2 |
Matthew Zobrist
|
- | 11 | 5.2 | 1.5 | 0.4 | 0.1 | 0.1 | 0.1 | 0.2 | 1.0 | 1.0 | -14 | -1.2 | -17.5 | 36.4 | 28.6 | 77.8 | -0.04 | 56.8 | 45.5 |
G. Rugaard
|
- | 5 | 1.4 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | -0.2 | -3 | -0.5 | -34.6 | 0.0 | 0.0 | 0 | -0.08 | 0.0 | 0.0 |
Jackson Seastrunk
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
H. Toussaint
|
- | 4 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.8 | - | - | - | 0.0 | 0 | 0.0 | - | 0.0 | 0.0 |
Gustavo Guimares
|
C | 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