🐻⬇️🏀

Duquesne

Season: 2026 2016 2015
Also known as: Duquesne
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1046 (#185) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1005 (#252) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +13.3 (#117) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.936 (#111) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +12.0 More → 0.799 (#232) AdjNet +12.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +11.8 More → 0.799 (#235) AdjNet +11.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 93.7 | AdjD 82.2 More → 0.740 (#193) AdjO 93.7 | AdjD 82.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 82.4 | AdjD 76.2 More → 0.638 (#112) AdjO 82.4 | AdjD 76.2
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.691 (#145) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.676 (#153) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1109 (#108) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-26 vs Central St. (OH) W 101 - 80

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%
Jimmie Williams - 1 15.2 20.0 2.0 3.0 2.0 0.0 2.0 11.0 14.0 87 4.0 28.7 63.6 66.7 100.0 -0.22 78.4 72.7
Cameron Crawford - 1 21.5 17.0 0.0 1.0 2.0 0.0 1.0 10.0 9.0 - - - 60.0 62.5 0 - 85.0 85.0
Maximus Edwards - 1 24.4 14.0 4.0 3.0 1.0 0.0 1.0 9.0 12.0 60 2.9 9.8 66.7 0.0 50.0 1.04 65.1 66.7
Tarence Guinyard - 1 27.2 13.0 4.0 6.0 2.0 0.0 0.0 11.0 14.0 - - - 54.5 33.3 0 - 59.1 59.1
John Hugley IV - 1 19.4 11.0 6.0 2.0 0.0 1.0 1.0 6.0 13.0 9 0.6 11.4 50.0 100.0 100.0 -1.3 70.9 58.3
David Dixon - 1 22.4 9.0 4.0 2.0 0.0 1.0 1.0 4.0 11.0 - - - 100.0 0 50.0 - 92.2 100.0
Jakub Necas - 1 23.8 5.0 2.0 3.0 3.0 0.0 3.0 1.0 9.0 - - - 100.0 0 75.0 - 90.6 100.0
Stef van Bussel - 1 8.3 4.0 2.0 0.0 0.0 0.0 3.0 2.0 1.0 - - - 100.0 0 0 - 100.0 100.0
Dom Aekins - 1 12.7 3.0 2.0 3.0 0.0 0.0 2.0 1.0 5.0 - - - 100.0 100.0 0.0 - 104.2 150.0
Jake DiMichele - 1 15.6 2.0 2.0 0.0 0.0 1.0 1.0 3.0 1.0 - - - 33.3 0.0 0 - 33.3 33.3
Lazar Milosevic - 1 5.9 2.0 2.0 0.0 0.0 0.0 0.0 1.0 3.0 - - - 100.0 0 0 - 100.0 100.0
Lucas Prolla - 1 1.1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 50.0 - 56.8 0
Ethan Anish - 1 1.1 0.0 0.0 0.0 0.0 0.0 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