Northwestern
2024 Team Stats (34 games)
73.3
PPG
69.1
Opp
+4.2
Margin
45.5%
FG%
39.0%
3P%
75.2%
FT%
31.4
RPG
15.6
APG
8.8
TO
73.9
Pace
Model Outputs
2023-2024
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 → | 1114 (#167) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1308 (#56) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +34.9 (#44) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.555 (#50) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.666 (#89) | NetEff +6.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.754 (#22) | AdjNet +9.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.757 (#22) | AdjNet +9.8 |
2024 Schedule & Results
2024 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
|
- | 34 | 36.9 | 19.0 | 3.3 | 5.0 | 1.4 | 0.1 | 2.3 | 14.4 | 12.1 | 5 | 0.6 | 0.7 | 43.8 | 43.4 | 85.8 | 0.01 | 58.1 | 52.9 |
Brooks Barnhizer
|
- | 34 | 36.7 | 14.6 | 7.5 | 2.6 | 1.8 | 0.8 | 1.5 | 11.9 | 14.0 | 7 | 0.7 | 1.0 | 42.9 | 34.8 | 76.6 | -0.0 | 53.2 | 47.9 |
R. Langborg
|
- | 32 | 33.3 | 12.7 | 3.0 | 2.5 | 1.3 | 0.2 | 0.9 | 10.2 | 8.6 | 30 | 4.3 | 5.4 | 44.0 | 42.1 | 77.4 | 0.29 | 57.6 | 55.1 |
Ty Berry
|
- | 23 | 29.7 | 11.6 | 3.9 | 1.4 | 1.3 | 0.0 | 1.1 | 8.6 | 8.6 | - | - | - | 44.9 | 43.3 | 89.5 | - | 62.2 | 58.8 |
N. Martinelli
|
- | 34 | 25.9 | 8.8 | 4.3 | 1.1 | 0.5 | 0.2 | 0.7 | 7.4 | 6.7 | -14 | -1.6 | -2.0 | 49.2 | 27.1 | 78.0 | -0.35 | 54.7 | 51.8 |
Matthew Nicholson
|
- | 29 | 22.3 | 5.3 | 4.3 | 1.8 | 0.5 | 1.4 | 0.6 | 3.5 | 9.2 | 29 | 4.8 | 13.6 | 65.7 | 0 | 52.5 | 0.46 | 64.8 | 65.7 |
L. Hunger
|
- | 31 | 12.8 | 3.8 | 2.1 | 0.6 | 0.1 | 0.2 | 0.5 | 3.1 | 3.3 | -9 | -1.0 | -2.4 | 45.3 | 20.0 | 68.4 | -0.16 | 52.8 | 48.4 |
B. Smith
|
- | 11 | 14.0 | 2.4 | 1.7 | 0.5 | 0.5 | 0.2 | 0.5 | 1.0 | 3.7 | 7 | 0.8 | 2.2 | 63.6 | 33.3 | 61.1 | -0.05 | 68.7 | 68.2 |
B. Preston
|
- | 28 | 10.3 | 2.1 | 2.0 | 0.9 | 0.2 | 0.3 | 0.5 | 1.8 | 3.4 | -9 | -1.3 | -4.8 | 46.9 | 0 | 41.9 | -0.21 | 47.1 | 46.9 |
J. Mullins
|
- | 19 | 5.2 | 0.4 | 0.6 | 0.2 | 0.2 | 0.3 | 0.3 | 0.5 | 0.8 | 69 | 3.8 | 60.2 | 30.0 | 50.0 | 33.3 | 0.16 | 35.3 | 35.0 |
J. Clayton
|
- | 28 | 7.1 | 0.3 | 0.5 | 0.4 | 0.2 | 0.0 | 0.4 | 0.8 | 0.3 | -7 | -1.0 | -14.0 | 17.4 | 8.3 | 0 | -0.11 | 19.6 | 19.6 |
G. Hurlburt
|
- | 6 | 0.8 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0 | 0.0 | 0.0 | 100.0 | 0 | 0 | -0.0 | 100.0 | 100.0 |
B. Barkley
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
P. Strauss
|
G | 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