Northwestern
2026 Team Stats (33 games)
72.9
PPG
71.5
Opp
+1.4
Margin
46.1%
FG%
33.0%
3P%
74.7%
FT%
30.4
RPG
17.1
APG
8.4
TO
73.4
Pace
76.5
AdjO
64.8
AdjD
#57
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 → | 1015 (#169) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1094 (#96) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 963 (#579) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +11.7 (#57) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +23.5 (#64) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.555 (#143) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.726 (#99) | NetEff +8.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.853 (#57) | AdjNet +15.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.856 (#56) | AdjNet +15.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.744 (#57) | AdjO 76.5 | AdjD 64.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.600 (#119) | AdjO 72.1 | AdjD 67.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.861 (#75) | 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 → | 0.820 (#79) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1106 (#131) | RD 130 | 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. Martinelli
|
- | 32 | 35.5 | 22.7 | 6.1 | 1.9 | 0.8 | 0.3 | 1.4 | 15.9 | 14.6 | -11 | -0.5 | -0.8 | 50.6 | 41.0 | 80.8 | 0.57 | 60.4 | 54.8 |
J. Reid
|
G | 33 | 25.7 | 10.1 | 1.4 | 5.0 | 1.0 | 0.2 | 1.8 | 8.5 | 7.3 | -16 | -0.7 | -1.3 | 39.7 | 32.0 | 81.2 | 0.13 | 51.4 | 45.2 |
A. Page
|
F | 28 | 22.4 | 10.1 | 4.3 | 1.7 | 0.9 | 1.2 | 1.2 | 7.0 | 10.1 | 29 | 1.3 | 2.5 | 54.6 | 24.4 | 65.6 | 0.64 | 60.1 | 57.1 |
Tre Singleton
|
- | 33 | 25.5 | 7.8 | 4.9 | 1.5 | 0.6 | 0.6 | 1.0 | 5.9 | 8.5 | 41 | 1.8 | 3.3 | 47.9 | 17.0 | 73.8 | 0.81 | 55.6 | 50.3 |
A. Ciaravino
|
- | 32 | 21.7 | 6.0 | 3.8 | 1.2 | 0.4 | 0.6 | 0.3 | 4.8 | 6.8 | 65 | 3.0 | 6.2 | 50.6 | 27.5 | 56.5 | 1.0 | 55.4 | 54.2 |
Jake West
|
- | 32 | 22.4 | 5.5 | 0.8 | 2.9 | 0.6 | 0.2 | 1.0 | 4.8 | 4.3 | 95 | 4.1 | 10.1 | 40.3 | 36.4 | 77.4 | 1.54 | 52.5 | 49.4 |
M. Green
|
- | 23 | 14.7 | 4.3 | 1.8 | 1.0 | 0.7 | 0.1 | 0.3 | 4.3 | 3.2 | 6 | 0.3 | 0.8 | 37.0 | 33.8 | 60.0 | 0.02 | 48.9 | 48.5 |
J. Clayton
|
- | 30 | 18.2 | 3.8 | 1.7 | 1.4 | 0.5 | 0.2 | 0.4 | 3.1 | 4.0 | 59 | 3.0 | 10.8 | 40.9 | 40.5 | 53.3 | 0.44 | 57.2 | 57.0 |
J. Mullins
|
- | 23 | 13.8 | 3.3 | 1.7 | 0.8 | 0.5 | 0.3 | 0.6 | 2.7 | 3.4 | 48 | 2.7 | 18.8 | 45.9 | 33.3 | 50.0 | 0.28 | 54.5 | 54.1 |
K.J. Windham
|
- | 13 | 11.6 | 3.2 | 1.5 | 0.9 | 0.5 | 0.1 | 0.2 | 3.0 | 2.9 | -10 | -0.8 | -2.9 | 30.8 | 32.3 | 100.0 | -0.24 | 48.7 | 43.6 |
Tyler Kropp
|
- | 30 | 12.2 | 3.2 | 2.2 | 0.3 | 0.4 | 0.3 | 0.3 | 2.5 | 3.4 | -24 | -1.2 | -4.9 | 44.7 | 27.3 | 92.3 | -0.09 | 54.3 | 46.7 |
G. Hurlburt
|
- | 2 | 2.0 | 2.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 2.0 | 4 | 2.0 | 400.0 | 100.0 | 0 | 100.0 | 0.03 | 106.4 | 100.0 |
Phoenix Gill
|
- | 11 | 3.5 | 0.5 | 0.5 | 0.3 | 0.0 | 0.0 | 0.2 | 0.7 | 0.4 | 8 | 1.0 | 18.5 | 12.5 | 0.0 | 75.0 | 0.14 | 25.6 | 12.5 |
B. Smith
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 268 | 11.2 | 20.3 | - | - | - | 1.13 | - | - |
Cade Bennerman
|
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