🐻⬇️🏀

Quinnipiac

Also known as: Quinnipiac
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 → 1013 (#356) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1019 (#356) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 993 (#504) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +29.2 (#63) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#37) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +50.5 More → 0.997 (#8) AdjNet +50.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +49.8 More → 0.998 (#13) AdjNet +49.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 95.9 | AdjD 57.5 More → 0.971 (#12) AdjO 95.9 | AdjD 57.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 84.4 | AdjD 72.8 More → 0.741 (#70) AdjO 84.4 | AdjD 72.8
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 → 0.858 (#49) 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 → 0.824 (#63) 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 → 1035 (#313) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-19 vs CCNY W 112 - 52

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%
Samson Reilly - 1 28.1 29.0 1.0 3.0 1.0 0.0 0.0 18.0 16.0 - - - 55.6 60.0 0 - 80.6 80.6
Keith McKnight - 1 14.2 20.0 5.0 2.0 2.0 1.0 0.0 9.0 21.0 - - - 100.0 0 40.0 - 89.3 100.0
Christopher Skenderi - 1 8.2 13.0 3.0 1.0 1.0 0.0 1.0 5.0 12.0 - - - 100.0 100.0 0 - 130.0 130.0
Asim Jones - 1 17.7 12.0 3.0 5.0 1.0 0.0 0.0 8.0 13.0 30 1.4 231.5 62.5 50.0 100.0 0.91 71.1 68.8
Jaden Zimmerman - 1 16.1 12.0 7.0 2.0 0.0 0.0 0.0 10.0 11.0 - - - 50.0 25.0 50.0 - 55.1 55.0
Tai Turnage - 1 23.7 9.0 6.0 11.0 4.0 0.0 0.0 9.0 21.0 - - - 33.3 50.0 50.0 - 45.5 44.4
Spence Wewe - 1 18.6 8.0 7.0 0.0 1.0 1.0 1.0 5.0 11.0 - - - 80.0 0 0 - 80.0 80.0
Grant Randall - 1 22.5 7.0 5.0 0.0 1.0 0.0 2.0 9.0 2.0 - - - 33.3 0.0 50.0 - 35.4 33.3
Akintola Akinniyi - 1 10.8 2.0 1.0 0.0 0.0 0.0 0.0 4.0 -1.0 - - - 25.0 0 0.0 - 20.5 25.0
Ronell Giles, Jr. - 1 21.9 0.0 7.0 4.0 0.0 0.0 1.0 4.0 6.0 42 2.3 11.7 0.0 0.0 0 1.15 0.0 0.0
Nate Guerengomba - 1 18.1 0.0 4.0 3.0 1.0 0.0 0.0 2.0 6.0 - - - 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