Duquesne Dukes
2022 Team Stats (1 games)
49.0
PPG
65.0
Opp
-16.0
Margin
27.1%
FG%
23.1%
3P%
68.8%
FT%
37.0
RPG
10.0
APG
15.0
TO
81.0
Pace
Model Outputs
2021-2022
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 → | 877 (#340) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 964 (#272) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +13.0 (#240) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.511 (#179) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-03-03 | @ | Saint Joseph's Hawks | L | 49 - 65 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Myers
|
G | 1 | 38.0 | 15.0 | 3.0 | 0.0 | 1.0 | 0.0 | 3.0 | 15.0 | 1.0 | -26 | -1.2 | -8.8 | 33.3 | 30.8 | 50.0 | 0.18 | 47.2 | 46.7 |
P. Johnson
|
F | 1 | 21.0 | 11.0 | 8.0 | 2.0 | 1.0 | 0.0 | 1.0 | 10.0 | 11.0 | -9 | -0.3 | -2.1 | 40.0 | 0.0 | 75.0 | 0.56 | 46.8 | 40.0 |
F. Pouye
|
G | 1 | 15.0 | 8.0 | 4.0 | 0.0 | 1.0 | 0.0 | 2.0 | 7.0 | 4.0 | - | - | - | 42.9 | 0.0 | 100.0 | 0.75 | 50.8 | 42.9 |
L. Bazelak
|
G | 1 | 39.0 | 5.0 | 4.0 | 1.0 | 1.0 | 0.0 | 3.0 | 6.0 | 2.0 | - | - | - | 33.3 | 33.3 | 0 | 0.43 | 41.7 | 41.7 |
M. McConnell
|
G | 1 | 35.0 | 5.0 | 6.0 | 3.0 | 5.0 | 0.0 | 1.0 | 7.0 | 11.0 | 31 | 1.6 | 8.5 | 14.3 | 33.3 | 50.0 | 0.94 | 28.5 | 21.4 |
A. Hamilton
|
G | 1 | 19.0 | 4.0 | 4.0 | 4.0 | 0.0 | 0.0 | 1.0 | 10.0 | 1.0 | - | - | - | 10.0 | 0.0 | 100.0 | 0.63 | 18.4 | 10.0 |
H. Bovell
|
G | 1 | 18.0 | 1.0 | 2.0 | 0.0 | 1.0 | 1.0 | 2.0 | 1.0 | 2.0 | - | - | - | 0.0 | 0 | 50.0 | 0.82 | 26.6 | 0.0 |
L. Sole
|
C | 1 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -1.0 | - | - | - | 0.0 | 0 | 0 | 0.03 | 0.0 | 0.0 |
A. Kalin
|
G | 1 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 0 | 0 | 0 | -0.54 | 0 | 0 |
A. Walker
|
F | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -20 | -6.7 | -26.0 | 0.0 | 0 | 0 | -0.06 | 0.0 | 0.0 |
N. Sekulovska
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -10 | -1.2 | -11.0 | 0 | 0 | 0 | -0.08 | 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