🐻⬇️🏀

Paul Quinn

Season: 2026 2015
Also known as: Paul Quinn
Program History

Model Outputs

2025-2026
Catalog

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 → 966 (#375) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 941 (#364) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 986 (#473) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +5.8 (#276) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.385 (#407) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -3.4 More → 0.385 (#307) NetEff -3.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.1 More → 0.561 (#375) AdjNet +2.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.5 More → 0.573 (#377) AdjNet +2.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.2 | AdjD 70.5 More → 0.516 (#395) AdjO 71.2 | AdjD 70.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.5 | AdjD 65.0 More → 0.511 (#332) AdjO 65.5 | AdjD 65.0
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 → 0.521 (#337) 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 → 0.514 (#338) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 337 | GP 1 More → 887 (#391) RD 337 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-04 @ Texas-Dallas L 72 - 75

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%
Cashimere Ralph - 1 31.0 20.0 8.0 1.0 2.0 1.0 0.0 14.0 18.0 - - - 42.9 40.0 75.0 - 57.1 50.0
Madison Bruce - 1 31.6 14.0 4.0 3.0 1.0 0.0 5.0 12.0 5.0 - - - 41.7 50.0 75.0 - 50.9 45.8
Taylor Woodruff - 1 34.9 13.0 8.0 1.0 1.0 0.0 2.0 13.0 8.0 - - - 30.8 40.0 75.0 - 44.0 38.5
Morghan Prevost - 1 24.3 9.0 8.0 0.0 0.0 1.0 2.0 5.0 11.0 - - - 20.0 0 87.5 - 52.8 20.0
Jaden Tesch - 1 22.6 8.0 3.0 1.0 3.0 0.0 2.0 8.0 5.0 - - - 37.5 0 50.0 - 41.0 37.5
Katie Enderle - 1 27.7 7.0 2.0 0.0 0.0 0.0 5.0 12.0 -8.0 - - - 16.7 16.7 100.0 - 27.2 20.8
Emery Black - 1 20.0 1.0 8.0 2.0 1.0 0.0 1.0 3.0 8.0 - - - 0.0 0 50.0 - 12.9 0.0
Sanii Poindexter-Gra - 1 2.3 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0
Pricilla Long - 1 5.6 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 12 1.0 57.6 0 0 0 1.46 0 0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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