🐻⬇️🏀

Pittsburgh

Season: 2026
Also known as: Pittsburgh
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 → 985 (#343) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 982 (#509) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +18.5 (#129) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.260 (#555) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -8.6 More → 0.260 (#426) NetEff -8.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +27.7 More → 0.961 (#159) AdjNet +27.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +28.7 More → 0.965 (#157) AdjNet +28.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.1 | AdjD 59.2 More → 0.810 (#168) AdjO 75.1 | AdjD 59.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.7 | AdjD 59.2 More → 0.579 (#259) AdjO 62.7 | AdjD 59.2
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 → 0.781 (#143) 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 → 0.754 (#160) 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 → 941 (#378) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-16 vs Scranton L 63 - 69

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%
Fatima Diakhate - 1 35.7 17.0 9.0 0.0 0.0 0.0 4.0 11.0 11.0 - - - 72.7 0 50.0 - 71.5 72.7
Carla Viegas - 1 27.7 16.0 3.0 1.0 1.0 0.0 1.0 12.0 8.0 - - - 50.0 50.0 0 - 66.7 66.7
Angel Jones - 1 26.9 15.0 3.0 3.0 1.0 0.0 0.0 12.0 10.0 38 2.2 55.2 58.3 0 50.0 0.46 58.2 58.3
Theresa Hagans - 1 24.7 7.0 2.0 4.0 0.0 0.0 3.0 8.0 2.0 - - - 37.5 0.0 100.0 - 41.5 37.5
Mikayla Johnson - 1 20.9 5.0 3.0 0.0 0.0 0.0 3.0 8.0 -3.0 11 0.8 64.5 25.0 0.0 100.0 1.33 29.6 25.0
Lauren Rust - 1 35.9 2.0 13.0 1.0 0.0 0.0 0.0 1.0 15.0 - - - 0.0 0 100.0 - 53.2 0.0
Jayda Queeley - 1 15.4 1.0 2.0 5.0 0.0 0.0 3.0 4.0 1.0 - - - 0.0 0.0 50.0 - 10.2 0.0
Megan Hollingsworth - 1 6.4 0.0 2.0 0.0 0.0 0.0 2.0 0.0 0.0 - - - 0 0 0 - 0 0
Nylah Wilson - 1 5.3 0.0 0.0 0.0 0.0 0.0 1.0 2.0 -3.0 - - - 0.0 0.0 0 - 0.0 0.0
Amiya Jenkins - 1 1.2 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 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