🐻⬇️🏀

Muskingum

Also known as: Muskingum
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 → 1013 (#224) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1023 (#294) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 971 (#538) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -2.2 (#216) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -3.1 (#411) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.189 (#590) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -9.1 More → 0.233 (#437) NetEff -9.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.1 More → 0.412 (#406) AdjNet -3.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.4 More → 0.401 (#406) AdjNet -3.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.4 | AdjD 65.3 More → 0.436 (#413) AdjO 62.4 | AdjD 65.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.2 | AdjD 67.0 More → 0.458 (#454) AdjO 65.2 | AdjD 67.0
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 → 0.418 (#443) 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 → 0.425 (#438) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 20 More → 979 (#343) RD 102 | GP 20

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Denison L 48 - 104
2025-11-14 vs Mt. St. Joseph W 69 - 64
2025-11-29 vs Asbury W 89 - 81
2025-11-30 @ Maryville (TN) W 58 - 51
2025-12-03 vs Capital L 55 - 57
2025-12-13 vs Mount Union L 54 - 68
2025-12-15 @ Waynesburg W 75 - 74
2025-12-20 @ Heidelberg L 0 - 0
2025-12-30 @ Pitt.-Greensburg W 80 - 60
2026-01-10 @ Ohio Northern L 54 - 59
2026-01-14 @ Wilmington (OH) L 76 - 86
2026-01-17 vs Otterbein L 54 - 85
2026-01-21 vs Marietta W 73 - 72
2026-01-24 @ Baldwin Wallace L 39 - 63
2026-01-31 vs Heidelberg W 88 - 65
2026-02-04 @ Capital L 56 - 72
2026-02-07 @ Mount Union L 73 - 79

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%
Mya Jones - 1 19.2 21.0 8.0 0.0 1.0 0.0 0.0 12.0 18.0 -87 -4.6 -34.5 83.3 0 50.0 -0.5 81.5 83.3
Brenna Williams - 1 13.2 14.0 3.0 0.0 0.0 0.0 2.0 7.0 8.0 -66 -3.5 -53.6 57.1 0 75.0 -0.66 66.5 57.1
Tori See - 1 31.8 12.0 11.0 1.0 2.0 0.0 2.0 15.0 9.0 -177 -9.3 -36.4 26.7 0.0 66.7 -4.79 34.0 26.7
Tori Jones - 16 29.8 11.4 2.3 1.9 1.1 0.4 1.8 10.2 5.2 -40 -1.9 -9.5 39.3 31.8 65.6 1.41 51.7 49.7
Claudia Harrington - 16 28.7 11.1 5.6 2.5 1.7 0.6 2.8 9.9 8.8 -20 -1.0 -4.6 41.1 37.3 66.7 -2.57 51.3 49.1
Mckinzi Linscott - 16 29.1 9.9 7.1 1.4 1.2 1.5 2.1 7.8 11.2 -6 -0.3 -1.3 44.4 40.0 85.7 1.14 58.0 54.0
Malia Mizeres - 1 31.1 9.0 9.0 1.0 0.0 1.0 3.0 11.0 6.0 -151 -7.9 -34.3 27.3 28.6 50.0 0.54 37.9 36.4
McKenna Baney - 16 23.0 8.4 3.6 1.2 0.8 0.1 2.0 6.7 5.4 -19 -0.9 -6.4 43.0 22.5 62.3 1.12 51.4 47.2
Julia Jaenke - 16 19.0 6.6 1.8 1.4 0.7 0.1 1.1 6.8 2.6 -85 -4.0 -31.8 34.9 19.5 56.8 -3.72 41.9 38.5
Courtney Hivick - 16 24.1 6.0 2.2 1.6 2.1 0.2 3.0 5.8 3.3 -3 -0.1 -1.0 35.5 23.1 58.7 1.47 42.4 37.1
Emma Crow - 1 18.6 6.0 3.0 2.0 2.0 0.0 2.0 11.0 0.0 -18 -3.0 -10.4 18.2 33.3 0.0 -2.02 25.3 27.3
Evie Burke - 1 16.7 5.0 2.0 4.0 0.0 0.0 2.0 4.0 5.0 -152 -11.7 -67.2 25.0 100.0 50.0 -0.95 43.4 37.5
Shelby Lott - 7 6.3 4.1 0.0 0.0 0.1 0.0 0.6 3.7 0.0 1 0.1 2.6 34.6 36.0 100.0 -1.22 53.9 51.9
Lizzy Allen - 16 18.0 3.2 1.8 1.2 0.8 0.1 1.6 4.7 0.8 -81 -3.9 -35.0 22.7 22.8 66.7 -2.49 32.8 31.3
Abby Tier - 1 18.8 3.0 3.0 5.0 0.0 0.0 1.0 3.0 7.0 -89 -7.4 -33.6 33.3 50.0 0 -0.21 50.0 50.0
Makiya Edwards - 16 9.0 2.4 2.3 0.0 0.2 0.4 0.9 2.1 2.2 -91 -4.3 -77.8 41.2 31.6 29.4 -5.3 47.0 50.0
Olivia Dement - 7 3.9 2.1 0.6 0.1 0.1 0.0 0.3 1.9 0.9 -8 -0.8 -18.1 38.5 33.3 50.0 0.95 54.0 53.8
Priya Mericle - 1 9.3 2.0 2.0 1.0 0.0 0.0 0.0 3.0 2.0 -54 -3.6 -37.2 33.3 0 0 -4.63 33.3 33.3
Sydney Reynolds - 16 5.9 1.9 1.3 0.1 0.2 0.0 0.7 1.5 1.4 -28 -1.3 -21.8 37.5 50.0 100.0 -0.86 56.3 50.0
Laurell Brown - 10 3.6 0.8 0.5 0.1 0.0 0.0 0.3 0.8 0.3 -20 -1.5 -26.0 25.0 0.0 100.0 -0.75 41.0 25.0
Kendall Dye - 7 3.5 0.7 0.7 0.0 0.0 0.0 0.1 0.1 1.1 -7 -0.7 -15.2 100.0 0 50.0 0.72 68.7 100.0
Bailey Dement - 10 3.2 0.7 0.9 0.4 0.1 0.0 0.5 0.9 0.7 -11 -0.8 -16.1 22.2 0.0 50.0 1.24 30.1 22.2
Abby Boeing - 9 4.1 0.4 1.3 0.0 0.1 0.3 0.1 0.7 1.4 -35 -2.7 -63.8 16.7 0.0 25.0 -1.61 21.0 16.7
Karlee Rose - 2 3.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -3 -0.8 -46.2 0 0 0 0.05 0 0
Sasha Nichols - 4 2.6 0.0 0.2 0.0 0.2 0.0 0.5 0.5 -0.5 5 0.7 21.9 0.0 0 0 1.34 0.0 0.0
Hannah Hunt - 1 23.0 0.0 3.0 2.0 1.0 0.0 3.0 5.0 -2.0 -158 -9.3 -37.4 0.0 0.0 0 -5.01 0.0 0.0
Olivia Nolting - 1 18.2 0.0 1.0 0.0 0.0 0.0 1.0 3.0 -3.0 -85 -5.0 -22.7 0.0 0.0 0 -2.89 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