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Manchester

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Manchester
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 → 948 (#336) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 962 (#378) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 892 (#619) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +3.6 (#155) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -3.1 (#409) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.237 (#565) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -1.9 More → 0.437 (#376) NetEff -1.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -11.1 More → 0.217 (#482) AdjNet -11.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -11.6 More → 0.203 (#486) AdjNet -11.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 58.8 | AdjD 66.4 More → 0.333 (#482) AdjO 58.8 | AdjD 66.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 59.7 | AdjD 61.6 More → 0.457 (#458) AdjO 59.7 | AdjD 61.6
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 → 0.408 (#449) 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 → 0.406 (#449) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 93 | GP 22 More → 866 (#444) RD 93 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Westminster (PA) W 89 - 49
2025-11-09 vs Mount Union L 65 - 79
2025-11-16 @ North Park W 68 - 57
2025-11-19 vs Ohio Northern W 68 - 55
2025-11-25 @ Elmhurst W 68 - 59
2025-12-03 vs Rose-Hulman W 78 - 63
2025-12-13 vs Hanover W 69 - 54
2025-12-17 vs Transylvania L 55 - 57
2025-12-28 @ St. Thomas (TX) L 57 - 73
2025-12-30 @ LeTourneau L 53 - 57
2026-01-10 @ Berea L 62 - 83
2026-01-14 vs Anderson (IN) L 81 - 92
2026-01-17 @ Transylvania L 38 - 61
2026-01-21 @ Rose-Hulman L 62 - 67
2026-01-24 @ Mt. St. Joseph L 44 - 59
2026-01-28 vs Bluffton W 65 - 38
2026-01-31 vs Berea W 66 - 61
2026-02-04 @ Anderson (IN) L 57 - 71
2026-02-07 @ Hanover L 69 - 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%
Abigail Rosenkrans - 17 30.5 15.8 7.0 2.8 2.6 0.5 3.0 12.8 13.0 98 5.4 25.1 47.0 45.2 77.6 2.39 55.3 51.4
Abi Rosenkrans - 1 27.0 15.0 11.0 1.0 2.0 0.0 3.0 10.0 16.0 98 5.4 25.1 40.0 50.0 71.4 2.39 57.3 50.0
Hannah Holmes - 19 22.5 11.9 7.2 0.5 0.7 0.5 2.1 8.3 10.4 33 1.6 10.1 55.1 0 68.4 -1.75 59.0 55.1
Kayla Gibbs - 18 28.1 8.1 3.7 1.0 1.1 0.3 1.1 7.6 5.6 76 4.2 16.7 36.8 33.3 72.7 0.52 46.7 41.5
Maddison Smith - 15 16.8 7.5 4.9 0.9 0.9 0.2 1.9 5.5 7.1 -4 -0.2 -1.8 48.8 0 66.0 2.09 54.3 48.8
Hailee Kline - 17 23.0 7.0 2.2 2.1 0.1 0.3 1.9 7.8 1.9 39 2.1 21.1 24.2 21.7 81.4 1.8 39.4 31.8
Maddi Smith - 1 16.0 7.0 4.0 0.0 1.0 0.0 1.0 9.0 2.0 51 2.8 15.1 33.3 0 20.0 2.8 31.2 33.3
Clair Klinger - 19 22.8 5.8 2.3 1.1 0.7 0.1 2.4 7.4 0.1 -2 -0.1 -0.6 27.7 25.5 40.0 -1.23 36.7 36.2
Kinsey Atkins - 15 18.9 4.4 2.3 2.1 1.0 0.1 1.5 4.9 3.6 -15 -0.8 -6.0 28.8 21.7 87.5 0.38 41.2 35.6
Sam Redinger - 12 12.5 3.9 0.9 0.3 0.3 0.0 0.8 3.4 1.3 64 4.9 70.3 34.1 39.3 72.7 2.75 51.3 47.6
Kendal Rider - 17 25.6 2.3 3.8 2.1 1.9 0.0 2.8 2.4 4.9 67 3.9 19.4 30.0 16.7 50.0 1.05 38.6 33.8
Camryn Andrus - 10 8.7 1.9 1.5 0.2 0.1 0.0 0.9 2.1 0.7 -11 -1.0 -10.8 28.6 0.0 58.3 0.99 36.1 28.6
Madysen Rees - 17 9.1 1.7 2.1 0.4 0.2 0.1 0.7 1.6 2.1 12 0.6 7.5 42.9 0 45.5 4.0 44.2 42.9
Rylee Clevenger - 7 3.7 0.7 0.4 0.0 0.1 0.0 0.4 0.3 0.6 11 1.6 37.1 50.0 100.0 100.0 1.02 86.8 75.0
Ava Woods - 3 2.4 0.7 0.3 0.0 0.0 0.0 0.3 0.3 0.3 -7 -1.8 -58.9 0.0 0.0 50.0 -0.59 36.2 0.0
Aaliyah Bonner - 8 5.7 0.4 0.8 0.1 0.1 0.0 0.6 0.2 0.5 -48 -4.4 -220.3 50.0 0 50.0 -1.91 52.1 50.0
MeKynzi Beck - 3 2.5 0.3 1.3 0.3 0.0 0.0 0.3 0.0 1.7 - - - 0 0 50.0 - 56.8 0
Isabelle Reynolds - 5 3.7 0.0 1.2 0.2 0.2 0.0 0.4 0.2 1.0 0 0.0 0.0 0.0 0 0 -1.51 0.0 0.0
Kaylynn Orr - 5 2.5 0.0 0.4 0.0 0.0 0.0 0.2 0.4 -0.2 1 0.2 5.7 0.0 0 0.0 -0.51 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