🐻⬇️🏀

Slippery Rock

Also known as: Slippery Rock
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 → 853 (#485) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 845 (#484) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 847 (#655) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -8.6 (#243) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -7.1 (#471) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.057 (#559) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -12.5 More → 0.171 (#375) NetEff -12.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -18.1 More → 0.110 (#583) AdjNet -18.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -17.6 More → 0.111 (#583) AdjNet -17.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 58.3 | AdjD 69.7 More → 0.262 (#583) AdjO 58.3 | AdjD 69.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.6 | AdjD 69.6 More → 0.327 (#594) AdjO 61.6 | AdjD 69.6
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 → 0.265 (#550) 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 → 0.270 (#555) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 104 | GP 21 More → 854 (#427) RD 104 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-06 @ Duquesne L 53 - 108
2025-11-15 @ Charleston (WV) L 52 - 64
2025-11-16 @ Davis & Elkins W 67 - 55
2025-11-19 @ Lake Erie W 83 - 78
2025-11-22 vs Glenville St. L 75 - 89
2025-11-26 @ Tiffin L 53 - 82
2025-11-30 vs Walsh L 61 - 67
2025-12-06 @ Mansfield W 66 - 40
2025-12-16 vs Shepherd W 76 - 72
2025-12-20 @ Shippensburg W 69 - 64
2025-12-21 @ Lock Haven L 59 - 68
2026-01-02 vs Bloomsburg L 57 - 65
2026-01-03 vs East Stroudsburg L 65 - 69
2026-01-10 @ Pitt.-Johnstown L 70 - 82
2026-01-14 vs Indiana (PA) L 60 - 100
2026-01-17 @ Seton Hill L 75 - 96
2026-01-24 vs California (PA) W 74 - 61
2026-01-28 @ Edinboro L 50 - 79
2026-01-31 vs Gannon L 51 - 72
2026-02-07 vs Pitt.-Johnstown L 72 - 76

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%
Iyanna Wade - 20 36.6 13.9 3.9 4.7 1.1 0.0 3.4 12.6 7.5 3 0.1 0.5 36.5 30.9 67.6 -0.8 46.4 40.7
Sophia Hook - 20 35.0 12.3 5.4 1.1 1.2 0.1 2.3 11.0 6.8 -52 -2.6 -10.3 40.5 36.2 75.0 0.27 51.8 49.1
Alyssa Gillin - 20 32.3 11.2 4.7 1.1 0.6 1.9 1.1 10.7 7.8 -29 -1.4 -6.9 40.8 35.7 61.1 0.13 50.9 50.2
Kayley Joseph-Bernard - 19 33.9 8.3 9.0 3.7 1.9 1.7 3.7 7.8 13.2 -28 -1.4 -5.7 44.6 38.5 71.4 0.32 50.9 49.7
Karianna Woods - 18 29.8 7.9 2.8 1.7 2.0 0.2 2.4 7.7 4.6 -5 -0.3 -2.2 39.9 11.1 64.6 0.35 44.9 40.6
Mairan Haggerty - 20 15.7 7.3 3.2 0.5 0.4 0.1 1.1 6.2 4.2 -82 -3.7 -26.8 41.1 35.1 72.1 -0.99 51.1 46.4
Hannah Pugliese - 16 6.9 2.0 1.1 0.1 0.2 0.0 0.5 2.1 0.9 4 0.2 5.5 30.3 33.3 80.0 -0.85 42.8 36.4
Deryn Moye - 17 8.8 1.6 0.5 0.6 0.1 0.1 0.8 1.9 0.2 -3 -0.2 -3.9 30.3 23.8 75.0 2.04 40.3 37.9
Claudia Ierullo - 8 9.3 1.6 1.0 0.5 0.2 0.2 0.9 1.5 1.2 -41 -5.9 -40.9 41.7 60.0 0.0 -2.12 52.3 54.2
Laney Bone - 8 6.2 0.8 1.5 0.0 0.1 0.0 1.0 1.6 -0.2 -10 -1.4 -14.3 7.7 0.0 50.0 0.39 18.2 7.7
Sarah Chawki - 10 6.4 0.7 0.5 0.3 0.0 0.0 0.5 1.2 -0.2 -5 -0.5 -11.3 25.0 0.0 100.0 -0.04 28.1 25.0
Jorja Bernesser - 13 6.0 0.5 0.8 0.2 0.0 0.5 0.5 0.3 1.2 -40 -3.1 -77.6 50.0 0 75.0 -2.06 60.8 50.0

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