🐻⬇️🏀

Grove City

Also known as: Grove City
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 → 1098 (#130) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1056 (#233) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1012 (#356) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +0.3 (#217) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -7.8 (#471) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.648 (#380) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +6.8 More → 0.721 (#271) NetEff +6.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +0.5 More → 0.515 (#378) AdjNet +0.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +0.2 More → 0.507 (#378) AdjNet +0.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 63.4 | AdjD 63.6 More → 0.496 (#376) AdjO 63.4 | AdjD 63.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 59.0 | AdjD 60.8 More → 0.460 (#450) AdjO 59.0 | AdjD 60.8
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 → 0.432 (#430) 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 → 0.442 (#423) 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 → 1021 (#277) RD 100 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Carlow - Incomplete score
2025-11-14 vs Baldwin Wallace - Incomplete score
2025-11-15 vs Mount Aloysius - Incomplete score
2025-11-18 @ Mount Union - Incomplete score
2025-11-22 vs Pitt.-Greensburg - Incomplete score
2025-11-25 @ Kenyon - Incomplete score
2025-12-03 vs Geneva - Incomplete score
2025-12-20 vs Regis (MA) - Incomplete score
2026-01-10 vs Franciscan - Incomplete score
2026-01-14 @ Allegheny - Incomplete score
2026-01-15 vs Maranatha Baptist - Incomplete score
2026-01-17 @ Chatham - Incomplete score
2026-01-21 vs Thiel - Incomplete score
2026-01-24 @ Saint Vincent - Incomplete score
2026-01-28 vs Hiram - Incomplete score
2026-01-31 vs Wash. & Jeff. - Incomplete score
2026-02-04 @ Geneva - Incomplete score
2026-02-07 @ Bethany (WV) - 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%
Meredith Sherrerd - 16 25.3 14.7 6.1 1.8 0.9 0.3 1.7 11.1 10.9 45 2.5 11.0 55.1 28.6 74.0 1.93 58.8 55.6
Sierra Fonseca - 1 40.0 13.0 5.0 5.0 4.0 0.0 6.0 27.0 -6.0 - - - 18.5 33.3 0 -0.3 24.1 24.1
Maddy Terry - 1 35.0 12.0 2.0 4.0 6.0 0.0 3.0 12.0 9.0 - - - 33.3 57.1 0 -0.67 50.0 50.0
Reese Hasley - 17 28.8 11.9 5.8 3.5 2.2 0.1 2.8 11.2 9.5 69 3.6 14.4 40.0 27.6 82.9 3.56 48.5 44.2
Jaiden Sharrow - 1 29.0 11.0 12.0 3.0 8.0 0.0 5.0 9.0 20.0 - - - 55.6 0 50.0 - 55.7 55.6
Ella Dawson - 1 13.0 8.0 4.0 0.0 0.0 1.0 0.0 7.0 6.0 - - - 57.1 0 0 - 57.1 57.1
Alexis Hudson - 16 22.4 7.8 4.6 0.9 0.8 0.0 1.4 7.1 5.5 25 1.4 8.0 40.4 31.1 70.4 -2.74 49.7 46.5
Brooke McCoy - 17 14.3 6.2 2.4 0.2 0.6 0.1 0.9 5.2 3.4 -18 -0.9 -9.0 42.7 37.5 73.7 -0.5 53.9 51.1
Janayla Franklin - 1 17.0 6.0 5.0 0.0 1.0 0.0 2.0 8.0 2.0 - - - 37.5 0.0 0.0 - 33.8 37.5
Emilee Klacking - 1 27.0 6.0 2.0 3.0 4.0 1.0 4.0 10.0 2.0 - - - 10.0 33.3 100.0 - 26.5 15.0
Alexa McDole - 17 20.9 5.8 2.5 1.5 1.1 0.2 0.8 6.9 3.2 55 2.6 17.4 31.4 25.7 55.6 -1.07 40.2 39.4
Kailey Devlin - 14 21.6 5.1 1.8 1.1 1.0 0.2 0.8 4.4 4.0 68 4.2 17.8 38.7 34.6 75.0 3.05 50.8 46.0
Bethany Thompson - 11 17.9 4.6 4.2 1.5 0.6 0.2 2.0 5.0 4.1 17 1.1 6.1 34.5 28.6 75.0 1.27 42.3 38.2
Emma Ulmer - 17 12.2 4.1 3.6 0.9 0.4 0.5 1.2 3.8 4.7 66 3.5 34.9 46.9 0.0 62.5 1.29 49.3 46.9
Hali Butkovich - 1 17.0 4.0 7.0 1.0 1.0 0.0 3.0 4.0 6.0 - - - 50.0 0.0 0 - 50.0 50.0
Kate Kline - 15 13.3 3.5 1.8 0.5 1.1 0.0 1.7 3.7 1.6 -41 -2.6 -36.9 25.5 17.2 60.6 -3.73 38.1 30.0
Emily King - 12 5.0 2.4 0.9 0.2 0.1 0.0 0.4 2.3 0.8 -5 -0.3 -16.5 35.7 40.0 100.0 0.03 51.0 50.0
Sarah Pifer - 17 10.7 2.0 0.8 0.4 0.4 0.0 0.8 2.2 0.5 49 2.6 32.9 28.9 25.8 100.0 1.32 42.8 39.5
Tori Walling - 1 16.0 2.0 4.0 0.0 1.0 0.0 1.0 3.0 3.0 - - - 33.3 0 0.0 - 25.8 33.3
Katie Hoff - 13 4.3 1.6 1.6 0.1 0.2 0.1 0.2 1.0 2.4 -45 -3.5 -228.3 61.5 0 62.5 -3.19 63.6 61.5
Josey Fortuna - 14 8.3 1.5 0.9 0.4 0.6 0.1 0.8 2.4 0.1 -7 -0.4 -20.0 14.7 13.3 40.9 -2.17 24.0 17.6
Haley Mach - 17 10.7 1.2 1.6 1.1 0.2 0.1 1.2 2.2 0.6 -19 -1.0 -15.4 23.7 5.0 33.3 -3.45 25.4 25.0
Anna Novelli - 11 4.4 0.9 1.5 0.5 0.0 0.3 0.4 1.4 1.5 -42 -3.8 -56.1 33.3 0.0 0 -2.35 33.3 33.3
JosMary Vazquez - 1 2.0 0.0 2.0 0.0 0.0 0.0 2.0 1.0 -1.0 -11 -0.7 -2.5 0.0 0.0 0 -0.27 0.0 0.0
Sanyah Gloster-Earl - 1 2.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0
Nevaeh Mancha - 1 3.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0 0 0.63 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