Wisconsin
2026 Team Stats (33 games)
82.2
PPG
75.8
Opp
+6.4
Margin
44.9%
FG%
35.9%
3P%
78.1%
FT%
35.4
RPG
15.9
APG
8.9
TO
79.3
Pace
88.7
AdjO
70.8
AdjD
#26
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 → | 1276 (#24) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1219 (#43) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1121 (#38) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.9 (#26) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +32.9 (#15) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.729 (#56) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.976 (#12) | NetEff +38.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.937 (#27) | AdjNet +23.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.938 (#27) | AdjNet +23.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.836 (#26) | AdjO 88.7 | AdjD 70.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.767 (#18) | AdjO 83.9 | AdjD 70.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.941 (#23) | 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 → | 0.924 (#19) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1299 (#30) | RD 110 | GP 33 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Boyd
|
- | 33 | 32.1 | 20.6 | 3.8 | 4.1 | 1.1 | 0.0 | 1.6 | 15.1 | 12.9 | 144 | 6.3 | 9.2 | 48.0 | 36.5 | 81.7 | 1.25 | 59.0 | 53.8 |
John Blackwell
|
- | 32 | 33.9 | 18.8 | 5.2 | 2.3 | 1.1 | 0.1 | 1.7 | 13.5 | 12.2 | 101 | 4.0 | 6.2 | 42.9 | 38.3 | 85.7 | 0.65 | 59.5 | 53.0 |
Nolan Winter
|
- | 29 | 30.7 | 12.9 | 8.4 | 1.6 | 0.5 | 1.2 | 0.8 | 8.7 | 15.1 | 190 | 7.3 | 11.9 | 56.5 | 31.1 | 75.3 | 2.0 | 65.0 | 62.1 |
A. Rapp
|
F | 28 | 23.9 | 10.1 | 4.1 | 1.5 | 0.5 | 0.5 | 0.9 | 7.9 | 8.0 | 110 | 5.8 | 11.9 | 42.3 | 37.2 | 84.4 | 0.65 | 58.7 | 55.4 |
B. Carrington
|
G | 32 | 18.1 | 8.5 | 2.4 | 1.1 | 0.4 | 0.3 | 0.5 | 6.1 | 6.2 | 90 | 4.3 | 11.8 | 42.1 | 41.4 | 76.4 | 0.69 | 62.3 | 59.2 |
Andrew Rohde
|
- | 32 | 26.6 | 5.4 | 2.0 | 2.9 | 1.2 | 0.2 | 1.1 | 5.2 | 5.3 | 78 | 3.7 | 6.3 | 34.5 | 31.5 | 73.9 | 0.34 | 48.3 | 46.1 |
Aleksas Bieliauskas
|
- | 33 | 19.9 | 4.7 | 4.3 | 0.9 | 0.2 | 0.6 | 0.8 | 4.2 | 5.7 | 42 | 1.9 | 4.5 | 40.9 | 31.2 | 63.3 | 0.26 | 51.6 | 49.6 |
Jack Janicki
|
- | 24 | 16.4 | 2.1 | 1.9 | 1.1 | 0.7 | 0.2 | 0.6 | 2.5 | 2.9 | 66 | 3.0 | 7.4 | 31.1 | 25.6 | 66.7 | 0.28 | 40.9 | 40.2 |
Hayden Jones
|
- | 25 | 7.7 | 1.8 | 1.1 | 0.4 | 0.2 | 0.1 | 0.6 | 1.0 | 2.0 | 14 | 0.8 | 5.0 | 61.5 | 50.0 | 54.5 | 0.26 | 63.1 | 63.5 |
Z. Kinziger
|
G | 15 | 4.8 | 1.4 | 0.2 | 0.6 | 0.3 | 0.0 | 0.1 | 1.6 | 0.9 | - | - | - | 33.3 | 25.0 | 50.0 | -0.05 | 42.2 | 41.7 |
Jack Robison
|
- | 15 | 2.0 | 1.1 | 0.5 | 0.1 | 0.1 | 0.1 | 0.2 | 0.5 | 1.1 | -15 | -1.2 | -25.5 | 75.0 | 75.0 | 66.7 | -0.26 | 91.2 | 93.8 |
Will Garlock
|
- | 28 | 6.8 | 1.0 | 1.0 | 0.7 | 0.1 | 0.2 | 0.4 | 0.5 | 2.0 | 11 | 0.5 | 3.1 | 73.3 | 0 | 40.0 | 0.06 | 64.8 | 73.3 |
I. Gard
|
- | 12 | 1.2 | 0.9 | 0.2 | 0.1 | 0.0 | 0.0 | 0.1 | 0.6 | 0.6 | -8 | -0.7 | -29.0 | 42.9 | 50.0 | 100.0 | -0.13 | 69.8 | 64.3 |
E. Gray
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Riccardo Greppi
|
- | 12 | 1.3 | 0.0 | 0.4 | 0.2 | 0.0 | 0.0 | 0.2 | 0.4 | 0.0 | -8 | -0.7 | -22.6 | 0.0 | 0.0 | 0.0 | -0.12 | 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