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Chestnut Hill

Also known as: Chestnut Hill
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 → 992 (#276) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 980 (#294) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 975 (#511) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → -6.8 (#282) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -2.6 (#401) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.543 (#342) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +74.9 More → 1.000 (#11) NetEff +74.9
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -4.0 More → 0.366 (#312) NetEff -4.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -6.1 More → 0.330 (#460) AdjNet -6.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -5.9 More → 0.331 (#460) AdjNet -5.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.8 | AdjD 68.3 More → 0.421 (#456) AdjO 64.8 | AdjD 68.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.8 | AdjD 65.5 More → 0.440 (#485) AdjO 62.8 | AdjD 65.5
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 → 0.375 (#469) 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 → 0.397 (#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 104 | GP 22 More → 967 (#284) RD 104 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Monmouth - Incomplete score
2025-11-15 @ Molloy - Incomplete score
2025-11-16 vs Queens (NY) - Incomplete score
2025-11-22 @ D'Youville - Incomplete score
2025-11-23 @ Daemen - Incomplete score
2025-11-25 vs Post - Incomplete score
2025-12-01 vs Shippensburg - Incomplete score
2025-12-03 @ Goldey-Beacom - Incomplete score
2025-12-05 vs Seton Hill - Incomplete score
2025-12-09 vs Holy Family - Incomplete score
2025-12-13 vs Dominican (NY) - Incomplete score
2025-12-16 @ Drexel - Incomplete score
2026-01-03 @ Felician - Incomplete score
2026-01-10 vs Bridgeport - Incomplete score
2026-01-14 vs Georgian Court - Incomplete score
2026-01-17 @ Caldwell - Incomplete score
2026-01-20 vs Jefferson - Incomplete score
2026-01-24 @ Post - Incomplete score
2026-01-28 vs Goldey-Beacom - Incomplete score
2026-02-03 @ Holy Family - Incomplete score
2026-02-07 @ Dominican (NY) - Incomplete score

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%
Annie Jackson - 1 28.1 17.0 5.0 1.0 1.0 0.0 1.0 16.0 7.0 61 2.9 21.0 37.5 45.5 0 -0.69 53.1 53.1
Sara Tamoun - 18 33.1 14.9 6.7 4.0 1.9 0.3 2.1 12.3 13.4 -11 -0.7 -3.3 42.1 37.6 86.3 1.26 55.0 50.7
Tiayo Adelekan - 16 22.6 11.9 7.6 0.3 1.4 0.4 1.7 8.8 11.3 -33 -2.4 -11.8 54.3 100.0 60.3 0.72 56.9 54.6
Tikyra Miller - 18 24.8 8.4 1.9 2.1 0.8 0.2 2.3 8.2 3.0 -75 -5.4 -36.2 38.1 27.3 80.4 -1.64 45.4 39.1
Tamia Washington - 18 19.0 8.2 1.4 1.8 0.8 0.1 1.8 7.8 2.7 -98 -7.5 -66.3 34.0 34.2 64.9 -3.36 46.7 43.6
Kourin Carew - 13 14.8 5.8 3.4 0.8 0.5 0.2 1.0 5.5 4.0 -58 -4.5 -63.9 33.3 10.0 83.9 -2.52 43.8 34.0
Sabria Mann - 18 21.8 5.8 3.8 1.2 1.8 0.3 2.5 6.3 4.1 -72 -5.5 -27.8 39.8 20.0 41.4 -4.15 41.3 40.7
Anahita Jackson - 15 15.3 4.7 2.9 0.6 1.5 0.1 0.9 6.5 2.3 -31 -2.8 -34.1 23.5 22.9 65.0 -0.37 32.8 29.1
Kaya Mobley - 18 23.9 3.6 3.7 3.0 1.3 0.3 1.9 4.2 5.7 -11 -0.8 -4.4 34.2 23.3 46.2 1.46 39.8 38.8
Bryce Harvey-Carr - 16 9.2 3.2 0.9 0.8 0.2 0.0 0.7 3.1 1.4 25 1.9 30.4 32.7 31.6 70.0 0.98 45.0 38.8
Anaisah Malone - 17 10.6 2.6 1.2 0.8 0.5 0.1 1.1 2.9 1.3 1 0.1 0.6 38.8 23.1 21.4 0.34 39.9 41.8
Ayrianna Sumpter - 18 9.2 1.6 2.5 0.2 0.4 0.3 0.7 2.3 2.0 -22 -1.7 -30.3 28.6 0.0 50.0 -0.25 30.8 28.6
Bry Hicks - 9 7.2 1.6 0.7 0.2 0.2 0.2 0.4 2.0 0.4 -26 -2.9 -114.3 33.3 16.7 50.0 -1.17 37.1 36.1
JoJo Mills - 5 5.5 1.6 0.8 0.2 0.2 0.2 0.4 1.8 0.8 -23 -3.8 -35.2 33.3 33.3 25.0 -3.53 37.2 38.9

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