Duquesne Dukes
2024 Team Stats (37 games)
70.6
PPG
66.7
Opp
+3.9
Margin
43.6%
FG%
34.0%
3P%
72.0%
FT%
34.8
RPG
13.4
APG
11.7
TO
76.8
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 → | 1057 (#204) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1215 (#113) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +26.4 (#120) | HCA +2.7 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.611 (#124) | NetEff +4.0 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Grant
|
- | 34 | 32.8 | 16.4 | 3.4 | 2.4 | 1.0 | 0.1 | 1.3 | 12.6 | 9.5 | 84 | 6.5 | 9.9 | 38.6 | 33.5 | 94.2 | 0.46 | 56.3 | 48.2 |
J. Clark III
|
- | 37 | 31.0 | 15.0 | 3.3 | 3.8 | 2.4 | 0.3 | 2.8 | 12.6 | 9.5 | 86 | 6.6 | 10.9 | 41.5 | 33.2 | 71.3 | 0.62 | 52.6 | 48.7 |
D. Dixon
|
- | 37 | 19.8 | 7.2 | 4.8 | 0.7 | 0.9 | 1.6 | 1.6 | 5.1 | 8.5 | 37 | 2.8 | 7.3 | 54.3 | 18.2 | 67.8 | 0.12 | 58.6 | 54.8 |
F. Drame
|
- | 37 | 21.4 | 6.9 | 5.7 | 1.1 | 0.7 | 0.4 | 1.1 | 4.9 | 8.8 | 60 | 4.6 | 10.6 | 48.3 | 45.6 | 65.5 | 0.46 | 58.9 | 55.6 |
J. DiMichele
|
- | 30 | 22.8 | 6.4 | 2.5 | 1.0 | 0.6 | 0.3 | 0.9 | 5.4 | 4.5 | 46 | 2.1 | 7.0 | 46.0 | 30.8 | 62.1 | 0.73 | 54.6 | 53.4 |
A. Savrasov
|
- | 20 | 16.4 | 5.8 | 3.5 | 1.1 | 0.8 | 0.4 | 0.7 | 4.7 | 6.2 | 2 | 0.7 | 8.7 | 48.4 | 33.3 | 52.9 | 0.02 | 54.2 | 53.2 |
K. Rozier
|
- | 37 | 24.5 | 5.2 | 1.8 | 2.4 | 0.8 | 0.1 | 1.0 | 4.7 | 4.5 | 1 | 0.1 | 0.2 | 38.9 | 38.1 | 80.8 | -0.12 | 52.0 | 49.4 |
D. Mahorcic
|
- | 26 | 10.5 | 4.5 | 2.0 | 0.5 | 0.2 | 0.2 | 0.7 | 3.4 | 3.2 | 24 | 1.8 | 8.6 | 52.8 | 0.0 | 63.2 | 0.12 | 55.8 | 52.8 |
T. Williams
|
- | 26 | 14.4 | 3.6 | 2.8 | 0.6 | 0.3 | 0.5 | 0.8 | 3.4 | 3.7 | 18 | 2.0 | 7.1 | 44.3 | 20.0 | 43.8 | 0.11 | 45.6 | 44.9 |
H. Drame
|
- | 13 | 11.8 | 3.4 | 3.2 | 0.5 | 0.4 | 0.1 | 0.6 | 3.4 | 3.6 | - | - | - | 40.9 | 31.6 | 40.0 | - | 47.6 | 47.7 |
J. Necas
|
- | 34 | 11.0 | 2.6 | 1.9 | 0.4 | 0.2 | 0.4 | 0.4 | 2.1 | 3.1 | -13 | -0.5 | -3.3 | 39.4 | 34.9 | 72.0 | -0.33 | 54.3 | 50.0 |
H. Barre
|
- | 32 | 8.3 | 2.0 | 2.0 | 0.1 | 0.1 | 0.5 | 0.5 | 1.7 | 2.5 | 4 | 0.4 | 4.0 | 50.9 | 0 | 47.1 | 0.12 | 51.2 | 50.9 |
M. Hronsky
|
- | 24 | 7.0 | 2.0 | 1.1 | 0.3 | 0.1 | 0.1 | 0.5 | 2.1 | 1.1 | -18 | -1.6 | -14.4 | 39.2 | 25.0 | 100.0 | -0.35 | 46.8 | 45.1 |
A. Barba
|
- | 5 | 3.6 | 1.2 | 0.6 | 0.0 | 0.2 | 0.0 | 0.0 | 1.8 | 0.2 | 0 | 0.0 | 0.0 | 22.2 | 40.0 | 0 | -0.0 | 33.3 | 33.3 |
K. Nicholls
|
- | 9 | 6.4 | 1.0 | 0.6 | 0.9 | 0.2 | 0.0 | 0.7 | 0.9 | 1.1 | 0 | 0.0 | 0.0 | 50.0 | 100.0 | 0 | -0.0 | 56.2 | 56.2 |
D. Carney
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -3 | -1.0 | -9.8 | - | - | - | -0.04 | - | - |
E. Anish
|
- | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
S. McDermott
|
- | 2 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
L. Perusek
|
- | 2 | 2.0 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 0.0 | 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