🐻⬇️🏀

Saint Elizabeth

Also known as: Saint Elizabeth
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 → 954 (#328) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 918 (#442) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 964 (#547) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -17.6 (#343) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -18.0 (#586) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.742 (#338) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -1.7 More → 0.437 (#375) NetEff -1.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -26.2 More → 0.046 (#608) AdjNet -26.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -27.5 More → 0.038 (#611) AdjNet -27.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 57.0 | AdjD 73.2 More → 0.187 (#599) AdjO 57.0 | AdjD 73.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 56.3 | AdjD 67.4 More → 0.267 (#626) AdjO 56.3 | AdjD 67.4
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 → 0.254 (#562) 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 → 0.252 (#569) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 98 | GP 21 More → 945 (#378) RD 98 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Penn St.-Berks W 81 - 50
2025-11-11 @ FDU-Florham L 65 - 78
2025-11-14 @ Wilkes L 53 - 68
2025-11-15 @ Purchase W 72 - 66
2025-11-19 vs King's (PA) L 64 - 72
2025-12-01 @ Lancaster Bible L 48 - 63
2025-12-03 vs Trinity Washington W 91 - 26
2025-12-13 vs Drew W 60 - 52
2025-12-17 @ Penn College W 51 - 46
2025-12-20 vs Eastern W 56 - 49
2025-12-30 vs Misericordia L 48 - 76
2026-01-10 vs Neumann L 41 - 61
2026-01-14 vs Immaculata L 56 - 71
2026-01-17 @ Marywood W 58 - 53
2026-01-21 vs Pratt W 61 - 50
2026-01-24 vs Gwynedd Mercy W 66 - 63
2026-01-28 @ Centenary (NJ) L 64 - 77
2026-01-31 @ Marymount (VA) L 66 - 79
2026-02-04 @ Immaculata L 47 - 81
2026-02-07 @ Neumann W 72 - 63

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%
Ahjionae Cobb - 20 34.7 17.3 6.5 2.8 0.7 0.2 3.1 18.2 6.3 70 3.3 12.9 34.9 34.7 80.6 -1.05 43.7 39.6
Yasminah White - 13 36.8 13.2 5.1 2.9 1.9 0.1 2.7 15.4 5.2 0 0.0 0.0 34.0 14.3 65.2 -1.24 39.0 35.5
Elyssa Russo - 20 30.1 11.3 4.8 3.0 2.1 0.2 2.5 12.4 6.4 -5 -0.2 -1.0 31.3 27.8 60.3 -1.21 40.8 37.8
Mya Davis - 20 31.9 8.0 4.9 1.4 1.1 0.2 1.6 7.7 6.3 64 2.9 12.8 34.0 31.6 68.4 -0.13 47.1 43.8
My'shiah McQueen - 18 24.3 6.7 6.2 0.4 1.0 0.4 1.4 6.9 6.5 -7 -0.4 -1.7 43.5 9.1 60.0 1.06 45.6 44.0
Alana Nickels - 1 6.0 4.0 3.0 0.0 0.0 0.0 0.0 3.0 4.0 - - - 66.7 0 0 - 66.7 66.7
Ty'la Holmes - 18 11.5 3.1 2.3 0.7 0.3 0.4 0.6 3.0 3.3 -8 -0.4 -4.5 33.3 29.4 43.5 1.6 43.7 42.6
Myshiah Mcqueen - 1 21.0 3.0 2.0 1.0 1.0 0.0 1.0 4.0 2.0 -7 -0.4 -1.7 25.0 50.0 0 1.06 37.5 37.5
Jasmine Pierce - 18 23.4 2.7 5.4 0.8 1.2 0.2 1.4 4.4 4.4 27 1.4 10.2 23.8 12.9 70.0 -1.46 29.0 26.2
Jakayla Jenkins - 19 9.8 1.8 2.1 0.3 0.7 0.1 0.5 1.8 2.7 65 3.4 58.6 44.1 25.0 50.0 0.1 46.6 45.6
Jada Peterson - 6 5.4 1.7 1.5 0.2 0.5 0.2 0.2 1.8 2.0 21 3.0 62.1 45.5 0.0 0.0 -0.36 42.1 45.5
Mileyshka Delgado - 9 6.3 1.3 1.2 0.2 0.3 0.0 0.1 2.4 0.6 26 2.6 48.1 22.7 12.5 0 -0.18 27.3 27.3
Nacheca Joseph - 17 8.4 1.2 0.9 0.2 0.4 0.1 0.6 1.6 0.6 50 2.8 48.2 32.1 12.5 25.0 -1.17 33.6 33.9
Julia Stewart - 10 7.5 0.6 0.5 0.1 0.0 0.0 0.2 1.4 -0.4 -14 -1.3 -14.0 14.3 16.7 0 -0.59 21.4 21.4

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