Duquesne Dukes
2026 Team Stats (30 games)
78.7
PPG
75.2
Opp
+3.5
Margin
46.0%
FG%
33.6%
3P%
71.9%
FT%
35.1
RPG
15.1
APG
12.6
TO
81.3
Pace
78.6
AdjO
74.8
AdjD
#115
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 → | 986 (#194) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1072 (#113) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1013 (#163) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.5 (#117) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.6 (#124) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.539 (#155) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.358 (#209) | NetEff -5.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.635 (#124) | AdjNet +4.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.637 (#123) | AdjNet +4.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.585 (#115) | AdjO 78.6 | AdjD 74.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.564 (#162) | AdjO 73.7 | AdjD 70.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.797 (#132) | 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 → | 0.758 (#138) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1112 (#125) | RD 130 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tarence Guinyard
|
G | 29 | 33.4 | 17.7 | 3.2 | 4.6 | 1.2 | 0.0 | 2.3 | 12.2 | 12.1 | 146 | 6.6 | 9.8 | 46.2 | 37.0 | 70.9 | 0.75 | 60.3 | 56.1 |
J. Williams
|
G | 30 | 29.9 | 14.9 | 4.5 | 2.7 | 1.7 | 0.1 | 1.8 | 11.8 | 10.3 | -94 | -4.1 | -6.4 | 45.3 | 33.7 | 75.5 | -0.3 | 56.8 | 53.4 |
A. Williams
|
- | 28 | 18.7 | 9.9 | 3.7 | 0.9 | 0.6 | 0.1 | 1.1 | 6.9 | 7.2 | 18 | 6.0 | 334.9 | 44.0 | 39.6 | 80.5 | -0.06 | 60.2 | 54.4 |
D. Dixon
|
- | 30 | 22.9 | 8.5 | 5.7 | 1.3 | 1.1 | 1.6 | 1.7 | 5.3 | 11.2 | 43 | 1.8 | 6.0 | 61.9 | 18.2 | 72.7 | -0.37 | 66.0 | 62.5 |
J. Hugley IV
|
F | 24 | 15.5 | 6.8 | 3.5 | 1.2 | 0.2 | 0.2 | 1.4 | 4.7 | 5.9 | 8 | 0.5 | 1.1 | 48.2 | 24.0 | 76.9 | -0.11 | 58.3 | 50.9 |
J. Necas
|
- | 29 | 23.9 | 6.7 | 4.9 | 1.1 | 1.1 | 0.4 | 1.3 | 4.6 | 8.3 | 188 | 8.5 | 22.4 | 50.8 | 36.8 | 68.1 | 1.16 | 60.1 | 56.1 |
M. Edwards
|
- | 20 | 15.8 | 6.5 | 2.9 | 1.2 | 0.5 | 0.1 | 0.8 | 6.0 | 4.3 | 26 | 1.3 | 4.1 | 39.5 | 25.0 | 65.6 | -0.14 | 48.8 | 45.8 |
C. Crawford
|
- | 29 | 18.3 | 4.3 | 1.7 | 1.0 | 0.6 | 0.1 | 0.7 | 4.3 | 2.8 | -53 | -2.3 | -6.1 | 36.3 | 32.5 | 62.5 | -0.58 | 47.7 | 46.4 |
J. DiMichele
|
- | 22 | 14.5 | 3.5 | 1.1 | 0.8 | 0.5 | 0.2 | 0.4 | 3.0 | 2.7 | 19 | 1.3 | 6.1 | 40.3 | 29.7 | 84.6 | -0.25 | 52.3 | 48.5 |
B. Hall
|
- | 26 | 18.9 | 3.4 | 1.3 | 0.8 | 0.8 | 0.2 | 0.9 | 3.4 | 2.3 | 28 | 1.8 | 7.9 | 36.4 | 33.3 | 50.0 | -0.2 | 45.6 | 44.3 |
Dom Aekins
|
- | 12 | 7.2 | 2.8 | 0.8 | 0.8 | 0.4 | 0.0 | 0.6 | 2.6 | 1.6 | -16 | -1.2 | -7.9 | 45.2 | 33.3 | 60.0 | -0.46 | 51.2 | 50.0 |
Lazar Milosevic
|
- | 12 | 7.2 | 2.0 | 1.5 | 0.4 | 0.2 | 0.0 | 0.2 | 1.3 | 2.6 | 29 | 2.2 | 15.9 | 56.2 | 20.0 | 62.5 | 0.32 | 61.5 | 59.4 |
S. van Bussel
|
- | 15 | 6.4 | 1.5 | 1.8 | 0.4 | 0.1 | 0.1 | 0.9 | 0.8 | 2.2 | 5 | 0.4 | 4.3 | 83.3 | 0 | 42.9 | -0.14 | 76.3 | 83.3 |
E. Anish
|
- | 4 | 2.2 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.8 | -3 | -0.8 | -51.4 | 50.0 | 0.0 | 75.0 | -0.08 | 66.5 | 50.0 |
L. Prolla
|
- | 4 | 2.8 | 1.0 | 0.5 | 0.0 | 0.8 | 0.0 | 0.5 | 0.5 | 1.2 | 0 | 0.0 | 0.0 | 50.0 | 50.0 | 50.0 | -0.08 | 69.4 | 75.0 |
Arness Lawson
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
S. McDermott
|
- | 3 | 2.7 | 0.0 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 1.7 | -1.0 | -5 | -1.7 | -85.7 | 0.0 | 0.0 | 0 | -0.08 | 0.0 | 0.0 |
Frederik Jellum
|
F | 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