🐻⬇️🏀

St. John Fisher

Also known as: St. John Fisher
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 → 986 (#264) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 981 (#354) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 975 (#526) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -3.4 (#229) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -7.8 (#467) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.910 (#238) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +3.8 More → 0.633 (#309) NetEff +3.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +13.2 More → 0.820 (#260) AdjNet +13.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +13.1 More → 0.827 (#256) AdjNet +13.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.4 | AdjD 60.8 More → 0.666 (#264) AdjO 68.4 | AdjD 60.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.2 | AdjD 60.4 More → 0.452 (#471) AdjO 58.2 | AdjD 60.4
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 → 0.395 (#458) 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 → 0.401 (#452) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 100 | GP 22 More → 966 (#361) RD 100 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-11 vs Ithaca L 52 - 58
2025-11-14 @ Oswego St. L 70 - 78
2025-11-15 @ Salve Regina L 57 - 61
2025-11-18 @ SUNY Morrisville W 60 - 51
2025-11-21 vs Rochester (NY) L 43 - 67
2025-11-22 vs Rensselaer L 53 - 63
2025-11-25 @ Hilbert W 96 - 34
2025-12-30 @ TCNJ L 53 - 61
2025-12-31 @ Husson W 63 - 56
2026-01-10 @ SUNY Geneseo L 65 - 71
2026-01-13 @ Houghton W 63 - 62
2026-01-16 vs Keuka W 76 - 56
2026-01-17 vs Elmira W 54 - 47
2026-01-23 @ Hartwick W 60 - 47
2026-01-24 @ Russell Sage L 44 - 52
2026-01-28 @ Nazareth L 52 - 70
2026-01-30 vs SUNY Poly W 71 - 56
2026-01-31 vs Utica W 69 - 58
2026-02-06 vs SUNY Geneseo L 34 - 64
2026-02-07 vs SUNY Brockport L 84 - 91

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%
Presleigh Brunner - 20 34.5 15.2 5.5 1.9 1.9 0.6 2.5 14.8 7.7 47 2.9 12.5 41.1 30.9 81.6 1.04 47.9 44.6
Hannah Ferguson - 20 32.3 11.5 5.4 1.4 1.1 0.8 2.4 9.2 8.6 51 2.8 16.9 48.6 35.8 65.7 0.29 58.0 56.6
Natalie Mai - 19 19.8 7.9 1.7 1.6 0.5 0.1 2.9 7.1 1.8 8 0.5 6.6 37.3 35.7 65.8 -0.63 49.8 46.6
Valerosa Gambitta - 20 30.7 7.7 4.7 1.9 1.4 0.6 2.5 7.4 6.3 61 3.6 16.7 41.9 19.6 65.5 1.06 47.6 45.3
Danielle Seamon - 20 21.3 4.5 5.5 1.4 0.6 0.3 2.1 5.4 4.8 13 0.8 5.7 33.3 29.2 55.0 -0.94 38.5 36.6
Payton O'Dell - 18 9.0 4.3 3.8 0.3 0.2 0.2 1.2 3.8 3.8 26 2.4 28.4 36.8 25.0 75.0 0.86 46.5 37.5
Julia Perales - 16 30.8 4.2 5.1 3.3 1.6 0.0 3.3 5.9 5.1 52 3.7 18.0 25.3 22.5 66.7 1.9 34.8 33.7
Alexa Gibson - 18 7.8 3.1 1.8 0.4 0.2 0.3 0.7 2.7 2.4 35 2.2 78.8 41.7 0.0 80.0 -1.77 49.3 41.7
Tanleigh Bestine - 4 4.2 3.0 1.2 0.2 0.0 0.0 0.2 1.8 2.5 9 3.0 440.8 57.1 100.0 25.0 -0.03 57.0 71.4
Breanna Heidt - 18 9.5 2.0 2.6 0.4 0.2 0.1 0.6 1.4 3.3 13 0.8 8.7 34.6 0 75.0 1.24 49.2 34.6
Rachael Hager - 6 4.3 1.7 0.3 0.0 0.2 0.3 0.2 1.3 1.0 22 5.5 285.4 50.0 40.0 0 0.71 62.5 62.5
Leah Khuu - 13 5.4 0.8 0.5 0.2 0.2 0.6 0.6 0.8 0.8 15 1.9 155.2 27.3 0.0 66.7 0.88 36.7 27.3
Mary Marrapese - 10 7.5 0.8 1.3 0.2 0.4 0.1 0.6 1.2 1.0 27 3.9 48.4 25.0 20.0 50.0 -0.22 31.1 29.2
Ashley Pavan - 5 4.4 0.8 1.0 0.0 0.0 0.0 0.2 1.2 0.4 8 2.7 82.8 16.7 0.0 100.0 0.26 29.1 16.7
Lindsay Martin - 3 3.3 0.7 1.0 0.0 0.0 0.0 0.0 0.7 1.0 -4 -1.3 -41.4 50.0 0 0 0.26 50.0 50.0
Madeline Broderick - 11 5.6 0.6 0.7 0.2 0.0 0.0 0.5 1.0 0.0 2 0.2 13.0 27.3 0.0 33.3 1.02 28.4 27.3

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