Duquesne Dukes
2026 Team Stats (26 games)
62.0
PPG
64.7
Opp
-2.7
Margin
37.4%
FG%
33.3%
3P%
69.2%
FT%
41.4
RPG
10.8
APG
19.4
TO
85.8
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 → | 940 (#485) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +7.1 (#237) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.429 (#407) | AdjO 60.5 | AdjD 63.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.596 (#248) | 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 → | 0.551 (#254) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 929 (#312) | RD 154 | GP 26 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Bordas
|
G | 26 | 33.5 | 15.0 | 3.1 | 1.5 | 1.4 | 0.0 | 2.2 | 14.2 | 4.7 | 104 | 4.5 | 5.8 | 35.1 | 33.2 | 85.9 | 2.8 | 48.7 | 44.6 |
N. Moore
|
G | 5 | 19.8 | 12.0 | 3.0 | 0.8 | 0.6 | 0.0 | 2.4 | 11.6 | 2.4 | 18 | 3.0 | 8.0 | 41.4 | 17.4 | 80.0 | 0.11 | 48.1 | 44.8 |
M. Blackford
|
G | 26 | 32.4 | 10.7 | 2.9 | 1.6 | 1.0 | 0.1 | 2.2 | 10.2 | 4.0 | 75 | 3.3 | 4.9 | 35.6 | 36.1 | 74.3 | 1.36 | 49.9 | 47.9 |
R. Green
|
G | 26 | 25.9 | 7.9 | 5.4 | 1.5 | 1.0 | 0.2 | 2.8 | 6.6 | 6.5 | 37 | 1.6 | 2.6 | 35.7 | 34.5 | 73.3 | 2.08 | 49.1 | 41.5 |
G. Grantham-Medley
|
G | 23 | 22.3 | 6.5 | 3.5 | 1.9 | 0.9 | 0.0 | 1.9 | 7.0 | 3.9 | 105 | 5.5 | 10.9 | 32.9 | 41.2 | 63.0 | 1.62 | 41.1 | 37.3 |
H. Ford
|
F | 24 | 15.8 | 6.5 | 6.8 | 0.9 | 0.3 | 0.2 | 2.5 | 6.0 | 6.1 | 14 | 0.7 | 1.5 | 46.5 | 0 | 56.8 | 2.25 | 48.4 | 46.5 |
R. Washington
|
F | 25 | 16.2 | 4.7 | 4.0 | 0.6 | 0.4 | 1.6 | 2.1 | 4.8 | 4.3 | 38 | 1.7 | 3.8 | 44.2 | 0 | 40.0 | -0.61 | 44.3 | 44.2 |
F. Sane
|
G | 26 | 15.7 | 3.2 | 3.1 | 0.6 | 1.0 | 0.3 | 1.8 | 3.6 | 2.9 | -54 | -2.3 | -6.8 | 35.5 | 21.4 | 78.9 | -2.77 | 41.4 | 37.1 |
D. Zecevic
|
F | 24 | 7.1 | 2.6 | 1.6 | 0.4 | 0.3 | 0.4 | 0.4 | 2.4 | 2.5 | -1 | -0.0 | -0.2 | 42.1 | 22.2 | 66.7 | -0.85 | 47.8 | 43.9 |
F. Walker
|
G | 26 | 18.5 | 2.2 | 2.7 | 1.0 | 0.5 | 0.2 | 1.6 | 3.0 | 1.9 | 29 | 1.3 | 2.6 | 29.5 | 15.4 | 69.2 | -3.84 | 34.0 | 30.8 |
M. Rohkohl
|
C | 26 | 9.6 | 1.5 | 3.5 | 0.4 | 0.3 | 0.3 | 0.7 | 1.3 | 3.9 | -28 | -1.2 | -6.0 | 51.4 | 0 | 30.0 | -2.5 | 49.5 | 51.4 |
K. McConnell
|
G | 26 | 6.0 | 0.5 | 0.9 | 0.6 | 0.2 | 0.0 | 0.4 | 0.4 | 1.4 | -19 | -0.8 | -4.5 | 40.0 | 50.0 | 100.0 | -1.99 | 55.1 | 50.0 |
R. Coueta
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Bakhaw Seye
|
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