Northwestern
2023 Team Stats (24 games)
67.5
PPG
65.0
Opp
+2.5
Margin
41.6%
FG%
32.7%
3P%
76.1%
FT%
31.9
RPG
11.9
APG
8.8
TO
72.9
Pace
Model Outputs
2022-2023
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 → | 1162 (#144) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1350 (#53) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.0 (#52) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.598 (#33) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.580 (#128) | NetEff +2.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.792 (#19) | AdjNet +11.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.794 (#19) | AdjNet +11.7 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Buie
|
- | 24 | 35.5 | 18.2 | 3.3 | 4.4 | 1.0 | 0.2 | 2.3 | 13.6 | 11.2 | - | - | - | 42.2 | 32.3 | 87.0 | - | 57.2 | 48.3 |
C. Audige
|
- | 24 | 35.4 | 13.7 | 3.2 | 2.7 | 2.4 | 0.4 | 2.2 | 13.0 | 7.1 | - | - | - | 36.5 | 32.1 | 80.6 | - | 48.5 | 43.8 |
Ty Berry
|
- | 24 | 28.3 | 8.7 | 4.7 | 1.0 | 1.4 | 0.1 | 1.0 | 7.4 | 7.5 | - | - | - | 36.0 | 31.1 | 80.0 | - | 52.6 | 45.2 |
Brooks Barnhizer
|
- | 24 | 24.8 | 7.7 | 5.0 | 1.0 | 0.8 | 0.3 | 0.7 | 6.5 | 7.7 | - | - | - | 41.4 | 29.1 | 84.4 | - | 52.3 | 46.5 |
Matthew Nicholson
|
- | 24 | 22.2 | 6.5 | 5.2 | 1.0 | 0.7 | 1.1 | 1.0 | 3.9 | 9.5 | - | - | - | 64.9 | 0 | 42.4 | 0.03 | 64.6 | 64.9 |
R. Beran
|
- | 23 | 23.9 | 6.3 | 3.8 | 0.7 | 0.6 | 0.6 | 0.5 | 5.5 | 5.8 | - | - | - | 35.4 | 31.8 | 89.5 | - | 50.4 | 43.7 |
Julian Roper Ii
|
- | 8 | 22.6 | 4.8 | 3.5 | 0.9 | 0.8 | 0.5 | 0.2 | 3.6 | 6.5 | 44 | 5.5 | 10.1 | 48.3 | 46.2 | 36.4 | 1.2 | 56.1 | 58.6 |
N. Martinelli
|
- | 17 | 10.1 | 2.6 | 1.5 | 0.2 | 0.3 | 0.0 | 0.3 | 1.8 | 2.5 | 44 | 3.1 | 4.4 | 60.0 | 60.0 | 50.0 | 1.36 | 63.8 | 65.0 |
T. Verhoeven
|
- | 24 | 15.2 | 2.5 | 2.5 | 0.6 | 0.5 | 0.7 | 0.4 | 1.5 | 4.8 | - | - | - | 61.1 | 0 | 76.9 | - | 71.9 | 61.1 |
C. Simmons
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 17 | 1.9 | 2.8 | - | - | - | 0.76 | - | - |
L. Hunger
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 11 | 1.2 | 3.3 | 0 | 0 | 0 | 0.18 | 0 | 0 |
B. Smith
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 26 | 1.7 | 3.1 | - | - | - | 1.05 | - | - |
G. Hurlburt
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
R. Dixon III
|
- | 9 | 0.4 | 0.0 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.1 | 0.0 | 62 | 5.6 | 9.0 | 0.0 | 0 | 0 | 1.51 | 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