🐻⬇️🏀

Haverford

Also known as: Haverford
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 → 1050 (#131) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1017 (#308) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 871 (#636) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -4.2 (#234) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -5.7 (#439) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.383 (#504) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +6.9 More → 0.732 (#265) NetEff +6.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -6.7 More → 0.317 (#440) AdjNet -6.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -7.1 More → 0.301 (#443) AdjNet -7.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 56.4 | AdjD 61.3 More → 0.389 (#451) AdjO 56.4 | AdjD 61.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 57.4 | AdjD 60.5 More → 0.428 (#508) AdjO 57.4 | AdjD 60.5
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 → 0.396 (#457) 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 → 0.388 (#467) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 21 More → 901 (#413) RD 101 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Keystone W 86 - 42
2025-11-11 vs Rutgers-Camden W 72 - 54
2025-11-15 vs Elizabethtown L 104 - 115
2025-11-18 vs Neumann W 52 - 44
2025-11-25 vs Wilson W 62 - 45
2025-12-03 vs Ursinus L 52 - 80
2025-12-10 @ Penn St.-Berks W 82 - 34
2025-12-13 @ Penn St. Brandywine W 66 - 43
2025-12-28 @ Wis.-Stevens Point L 34 - 68
2025-12-30 vs Curry W 67 - 54
2026-01-10 @ Bryn Mawr W 57 - 47
2026-01-14 @ Ursinus L 73 - 83
2026-01-17 vs Dickinson L 42 - 60
2026-01-21 @ Muhlenberg L 55 - 69
2026-01-24 vs Washington Col. L 58 - 65
2026-01-31 @ Johns Hopkins L 50 - 83
2026-02-04 @ Swarthmore L 47 - 50
2026-02-07 vs McDaniel L 37 - 57

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%
Caroline Orza - 18 34.6 18.7 7.8 1.1 2.0 0.3 2.7 13.9 13.3 110 5.0 30.4 44.0 33.6 76.8 1.1 57.2 52.0
Audrey Jakway - 17 33.5 15.3 11.1 1.3 1.6 1.9 3.5 15.1 12.6 58 2.8 15.2 40.5 26.7 54.5 1.1 45.4 43.6
Brianna Feifer - 17 32.3 9.4 5.2 1.6 1.9 1.3 2.4 10.6 6.4 104 5.0 29.2 30.4 28.0 81.4 -0.55 39.8 34.3
Bri Heafy - 2 15.4 8.0 2.5 1.0 1.5 0.0 3.0 5.5 4.5 5 2.5 12.7 54.5 60.0 50.0 -0.06 67.3 68.2
Shae Mercer - 17 34.0 7.2 4.4 4.4 1.2 0.4 2.6 7.6 7.4 25 1.2 7.1 39.2 25.7 64.7 0.54 44.4 42.7
Bri Heafey - 16 26.3 5.2 3.0 2.1 1.0 0.1 2.8 6.4 2.3 70 3.7 39.6 25.2 23.9 58.3 -1.86 35.3 30.6
Cayla Menicola - 6 16.6 3.8 3.0 0.7 0.5 0.3 0.7 4.7 3.0 12 2.0 23.9 35.7 0.0 50.0 0.53 37.5 35.7
Georgia Koff-Gilmore - 18 20.7 3.4 2.3 1.7 0.9 0.1 1.4 5.6 1.5 45 2.1 21.9 23.0 19.1 37.5 -0.04 28.5 27.5
Alyssa Aslam - 17 13.9 1.1 1.9 0.9 0.5 0.4 1.0 1.6 2.1 79 4.0 53.8 33.3 0.0 0.0 -0.73 32.3 33.3
Lily Zawisny - 5 5.7 1.0 1.0 0.0 0.0 0.2 0.8 1.2 0.2 -12 -2.4 -29.4 33.3 0 33.3 -2.27 34.2 33.3
Urvi Iyer - 11 4.3 0.5 0.6 0.3 0.1 0.0 0.2 1.0 0.3 25 2.8 84.2 18.2 20.0 0 -0.56 22.7 22.7
Briana Pellew - 13 5.2 0.4 1.0 0.1 0.0 0.4 1.0 0.5 0.4 11 0.8 27.4 33.3 0 33.3 -1.02 34.2 33.3
Gracie Eilberg - 10 4.3 0.2 0.9 0.2 0.3 0.0 0.6 0.8 0.2 8 0.9 26.2 12.5 0.0 0 -1.68 12.5 12.5
Ashley Peterson - 2 2.9 0.0 0.0 0.0 0.0 0.0 0.0 0.5 -0.5 -7 -3.5 -103.7 0.0 0.0 0 -1.17 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