DePaul Blue Demons
2026 Team Stats (30 games)
63.2
PPG
72.7
Opp
-9.5
Margin
37.7%
FG%
28.6%
3P%
62.8%
FT%
34.7
RPG
16.2
APG
16.1
TO
86.7
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 → | 913 (#512) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +9.7 (#205) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.378 (#486) | AdjO 63.5 | AdjD 69.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.634 (#229) | 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 → | 0.575 (#241) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 908 (#375) | RD 152 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Novik
|
G | 29 | 29.4 | 12.4 | 6.4 | 3.6 | 1.8 | 0.8 | 2.4 | 11.5 | 11.1 | -215 | -9.0 | -11.2 | 43.5 | 20.3 | 73.1 | -1.85 | 49.0 | 45.5 |
N. Nelson
|
G | 30 | 26.2 | 8.1 | 4.7 | 1.6 | 1.2 | 0.5 | 1.4 | 7.9 | 6.8 | -94 | -3.8 | -5.5 | 46.6 | 0 | 37.1 | 1.93 | 46.1 | 46.6 |
M. Ojo
|
F | 29 | 18.2 | 7.7 | 4.3 | 1.2 | 1.2 | 0.4 | 2.1 | 6.5 | 6.3 | -127 | -5.5 | -11.6 | 46.6 | 16.7 | 66.2 | -0.96 | 50.9 | 46.8 |
A. Timm
|
G | 30 | 21.3 | 7.4 | 0.7 | 1.1 | 0.7 | 0.1 | 1.0 | 7.3 | 1.6 | -194 | -7.8 | -13.2 | 34.5 | 33.9 | 72.2 | -3.23 | 48.7 | 47.5 |
D. Hagemann
|
G | 26 | 32.0 | 7.2 | 2.2 | 2.7 | 1.3 | 0.1 | 2.2 | 7.6 | 3.7 | -151 | -7.2 | -9.6 | 34.0 | 36.2 | 66.7 | 1.84 | 45.7 | 44.7 |
A. West
|
G | 30 | 19.7 | 6.9 | 4.0 | 2.4 | 1.9 | 0.3 | 3.0 | 8.2 | 4.3 | -106 | -4.2 | -7.8 | 29.8 | 20.6 | 62.2 | 0.16 | 37.1 | 32.7 |
M. Newman
|
F | 25 | 18.2 | 4.8 | 5.6 | 1.3 | 0.6 | 0.3 | 1.2 | 5.8 | 5.5 | 5 | 0.3 | 1.3 | 36.8 | 0 | 51.9 | -0.78 | 38.5 | 36.8 |
S. McCline
|
G | 17 | 7.6 | 4.2 | 0.9 | 0.5 | 0.3 | 0.1 | 0.8 | 4.4 | 0.9 | -13 | -1.0 | -4.1 | 35.1 | 36.4 | 80.0 | 0.74 | 47.2 | 45.9 |
A. Mayo
|
G | 19 | 12.1 | 3.8 | 0.7 | 0.5 | 0.3 | 0.1 | 0.4 | 4.1 | 0.8 | 1 | 0.1 | 0.2 | 28.2 | 29.6 | 100.0 | 0.81 | 44.8 | 41.7 |
G. Davorija
|
G | 30 | 17.0 | 3.4 | 1.3 | 1.2 | 0.6 | 0.2 | 0.9 | 4.3 | 1.5 | -134 | -5.4 | -12.0 | 32.0 | 18.3 | 75.0 | -4.15 | 39.2 | 37.9 |
J. Odom
|
F | 23 | 7.6 | 1.9 | 1.1 | 0.5 | 0.4 | 0.2 | 0.6 | 2.0 | 1.5 | -78 | -3.9 | -17.9 | 34.8 | 0 | 80.0 | -2.53 | 41.8 | 34.8 |
S. Lee
|
G | 21 | 10.6 | 1.6 | 0.7 | 1.2 | 0.2 | 0.0 | 0.6 | 1.9 | 1.2 | -15 | -0.7 | -2.2 | 30.8 | 0.0 | 69.2 | 3.51 | 36.9 | 30.8 |
F. Okorie
|
F | 10 | 4.7 | 0.9 | 0.8 | 0.3 | 0.0 | 0.0 | 0.1 | 1.3 | 0.6 | -19 | -1.7 | -11.5 | 23.1 | 0.0 | 42.9 | -2.41 | 28.0 | 23.1 |
K. Clarke
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
K. Oxley
|
F | 3 | 0.7 | 0.0 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | - | - | - | 0 | 0 | 0 | -0.72 | 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