Wisconsin Badgers
2026 Team Stats (29 games)
67.0
PPG
74.1
Opp
-7.1
Margin
41.7%
FG%
35.1%
3P%
74.7%
FT%
34.6
RPG
15.1
APG
16.6
TO
81.8
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1010 (#169) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +23.6 (#69) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.574 (#154) | AdjO 66.9 | AdjD 63.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.874 (#89) | 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 → | 0.836 (#98) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1133 (#115) | RD 104 | GP 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Howell
|
G | 29 | 30.8 | 14.5 | 2.9 | 1.4 | 0.7 | 0.3 | 2.7 | 12.7 | 4.6 | -56 | -2.3 | -3.5 | 42.2 | 39.1 | 81.8 | 2.02 | 53.8 | 51.2 |
K. Daniels
|
G | 29 | 31.1 | 12.7 | 5.2 | 2.6 | 1.1 | 0.3 | 2.2 | 11.7 | 8.0 | -85 | -3.9 | -4.5 | 39.6 | 36.7 | 85.7 | -1.31 | 51.2 | 48.2 |
G. Uchenna Okeke
|
F | 29 | 19.7 | 9.5 | 7.1 | 0.9 | 0.9 | 1.5 | 2.1 | 8.7 | 9.0 | - | - | - | 47.8 | 50.0 | 56.6 | - | 49.8 | 48.4 |
L. Steele
|
G | 29 | 23.9 | 6.0 | 3.2 | 1.1 | 1.0 | 0.3 | 1.3 | 5.7 | 4.7 | -81 | -3.7 | -7.1 | 37.2 | 33.3 | 68.8 | -1.26 | 49.1 | 46.6 |
R. Porter
|
G | 29 | 32.0 | 5.8 | 4.3 | 5.0 | 1.6 | 0.1 | 2.2 | 5.8 | 8.8 | -109 | -4.7 | -6.0 | 34.9 | 30.7 | 77.1 | -1.87 | 45.6 | 41.7 |
D. Iva Zaja
|
C | 28 | 13.2 | 5.4 | 2.6 | 0.7 | 0.4 | 0.8 | 1.7 | 4.3 | 3.9 | 3 | 0.1 | 0.4 | 55.0 | 25.0 | 76.0 | 0.8 | 58.0 | 55.4 |
B. Ware
|
G | 20 | 15.9 | 4.5 | 1.7 | 0.9 | 0.5 | 0.1 | 1.1 | 3.8 | 2.7 | 76 | 3.8 | 6.7 | 36.8 | 30.8 | 72.2 | 5.24 | 49.0 | 42.1 |
L. Krahn
|
G | 29 | 15.0 | 4.3 | 1.0 | 0.4 | 0.5 | 0.1 | 0.6 | 3.1 | 2.7 | -61 | -2.7 | -7.5 | 47.8 | 44.6 | 87.5 | -1.86 | 67.4 | 66.1 |
S. Bollin
|
G | 29 | 15.1 | 3.5 | 2.1 | 1.6 | 0.4 | 0.3 | 1.1 | 3.1 | 3.7 | -58 | -2.4 | -6.4 | 38.5 | 26.9 | 81.0 | -1.56 | 50.4 | 46.2 |
J. Spasovski
|
G | 26 | 7.0 | 1.5 | 0.9 | 0.3 | 0.2 | 0.0 | 0.4 | 1.5 | 1.0 | -3 | -0.1 | -0.5 | 40.0 | 0.0 | 80.0 | 1.41 | 45.0 | 40.0 |
A. Bisballe
|
F | 12 | 2.8 | 1.2 | 0.3 | 0.1 | 0.0 | 0.0 | 0.1 | 1.0 | 0.5 | -2 | -0.2 | -2.1 | 41.7 | 33.3 | 50.0 | -0.57 | 47.8 | 45.8 |
N. Kerstein
|
PG | 18 | 7.4 | 0.7 | 0.6 | 0.7 | 0.2 | 0.1 | 0.6 | 1.1 | 0.6 | -13 | -0.8 | -4.0 | 25.0 | 12.5 | 100.0 | -2.18 | 31.1 | 27.5 |
L. Patibandla
|
G | 7 | 2.3 | 0.0 | 0.4 | 0.1 | 0.0 | 0.0 | 0.0 | 0.6 | 0.0 | -1 | -0.1 | -1.5 | 0.0 | 0.0 | 0 | -0.44 | 0.0 | 0.0 |
A. Martin Mesa
|
G | 5 | 1.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | -5 | -0.6 | -15.5 | 0 | 0 | 0 | 0.07 | 0 | 0 |
R. Jaramillo
|
G | 3 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2 | 0.3 | 14.8 | 0 | 0 | 0 | 0.15 | 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