DePaul
2026 Team Stats (30 games)
69.3
PPG
70.2
Opp
-0.9
Margin
43.2%
FG%
32.3%
3P%
68.4%
FT%
33.3
RPG
14.9
APG
12.3
TO
77.6
Pace
73.0
AdjO
66.0
AdjD
#95
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 β | 925 (#240) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β | 1078 (#108) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More β | 956 (#593) | HCA +109 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More β | 851 (#697) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More β | +6.5 (#97) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More β | +19.7 (#87) | HCA +2.5 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More β | -0.8 (#373) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More β | 0.528 (#160) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More β | 0.276 (#249) | NetEff -9.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More β | 0.741 (#97) | AdjNet +9.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More β | 0.745 (#95) | AdjNet +9.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More β | 0.653 (#95) | AdjO 73.0 | AdjD 66.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More β | 0.511 (#222) | AdjO 67.3 | AdjD 66.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More β | 0.315 (#689) | AdjO 72.9 | AdjD 81.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More β | 0.798 (#128) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More β | 0.344 (#440) | 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 β | 0.747 (#148) | 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 β | 0.318 (#486) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More β | 1072 (#167) | RD 134 | GP 30 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More β | 712 (#699) | RD 172 | GP 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CJ Gunn
|
- | 30 | 27.8 | 13.1 | 3.7 | 1.9 | 1.1 | 0.6 | 1.9 | 12.2 | 6.3 | 30 | 1.4 | 2.2 | 39.5 | 31.5 | 71.8 | 0.34 | 49.3 | 46.6 |
N.J. Benson
|
F | 30 | 26.2 | 11.4 | 7.7 | 1.2 | 0.5 | 0.8 | 1.4 | 7.8 | 12.4 | 25 | 1.1 | 2.1 | 62.7 | 0.0 | 50.5 | 0.27 | 61.8 | 62.7 |
L. Blocker
|
G | 30 | 29.0 | 10.9 | 2.5 | 3.5 | 1.6 | 0.3 | 2.2 | 9.6 | 6.9 | 14 | 0.6 | 1.0 | 36.0 | 31.8 | 83.5 | 0.42 | 49.1 | 41.9 |
B. Maclin
|
G | 29 | 27.6 | 10.5 | 4.5 | 2.8 | 1.3 | 0.3 | 1.8 | 8.2 | 9.3 | 47 | 2.5 | 4.4 | 43.9 | 30.6 | 69.5 | 0.63 | 53.5 | 48.5 |
RJ Smith
|
G | 30 | 27.5 | 6.6 | 2.3 | 2.4 | 0.6 | 0.3 | 1.1 | 6.1 | 5.1 | 38 | 1.7 | 2.8 | 36.8 | 31.0 | 74.4 | 0.65 | 49.7 | 46.4 |
K. Banks
|
F | 29 | 16.1 | 5.4 | 2.6 | 0.4 | 0.3 | 0.3 | 0.6 | 4.1 | 4.2 | 25 | 1.1 | 2.9 | 43.7 | 33.9 | 69.6 | 0.49 | 56.0 | 52.1 |
Kruz Mcclure
|
- | 26 | 18.0 | 4.5 | 1.3 | 1.3 | 0.8 | 0.2 | 1.3 | 4.0 | 2.7 | -26 | -1.5 | -3.7 | 30.5 | 29.0 | 71.7 | -0.42 | 46.7 | 40.0 |
T. Pierre-Justin
|
- | 28 | 15.5 | 4.0 | 2.6 | 0.9 | 0.3 | 0.2 | 0.5 | 3.3 | 4.2 | -605 | -1.3 | -985.1 | 44.1 | 42.4 | 50.0 | -0.21 | 57.5 | 57.5 |
Fabian Flores
|
- | 27 | 10.8 | 2.9 | 3.0 | 0.3 | 0.3 | 0.5 | 0.3 | 1.7 | 5.1 | 9 | 0.5 | 1.8 | 68.1 | 0 | 65.2 | 0.36 | 69.2 | 68.1 |
I. MilijaΕ‘eviΔ
|
- | 14 | 6.6 | 1.9 | 0.2 | 0.4 | 0.4 | 0.0 | 0.2 | 1.5 | 1.1 | - | - | - | 38.1 | 38.1 | 75.0 | - | 59.3 | 57.1 |
Jeremy Lorenz
|
F | 7 | 10.3 | 1.7 | 1.7 | 0.9 | 0.6 | 0.1 | 0.9 | 1.0 | 3.1 | -29 | -3.2 | -15.3 | 57.1 | 0.0 | 40.0 | -0.67 | 52.6 | 57.1 |
K. Maker
|
- | 11 | 4.6 | 0.8 | 0.9 | 0.0 | 0.1 | 0.3 | 0.3 | 0.9 | 0.9 | -3 | -0.3 | -2.8 | 40.0 | 0 | 33.3 | -0.12 | 39.8 | 40.0 |
N. Kasher
|
- | 4 | 1.2 | 0.5 | 0.8 | 0.2 | 0.0 | 0.0 | 0.2 | 0.0 | 1.2 | 3 | 0.8 | 25.8 | 0 | 0 | 100.0 | 0.05 | 113.6 | 0 |
A. Delalic
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Isaiah Medina
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Jonas Johnson
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 113 | 5.4 | 16.0 | - | - | - | 0.86 | - | - |
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