🐻⬇️🏀

Marietta

Also known as: Marietta
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 → 1099 (#75) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1135 (#100) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1047 (#189) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +15.1 (#59) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +8.1 (#232) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.769 (#325) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +3.8 More → 0.629 (#311) NetEff +3.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +22.1 More → 0.928 (#189) AdjNet +22.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +21.7 More → 0.929 (#189) AdjNet +21.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.2 | AdjD 58.8 More → 0.771 (#191) AdjO 72.2 | AdjD 58.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.5 | AdjD 63.7 More → 0.671 (#160) AdjO 71.5 | AdjD 63.7
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 → 0.694 (#220) 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 → 0.692 (#224) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 22 More → 1092 (#172) RD 99 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Bethany (WV) W 82 - 67
2025-11-11 @ John Carroll L 54 - 68
2025-11-15 @ Franklin L 67 - 73
2025-11-16 @ Transylvania L 53 - 72
2025-11-21 vs Wash. & Jeff. L 65 - 81
2025-11-22 vs Carnegie Mellon W 73 - 63
2025-11-26 @ Mt. St. Joseph W 62 - 55
2025-12-03 @ CWRU W 67 - 66
2025-12-14 @ Baldwin Wallace L 51 - 62
2025-12-17 vs Otterbein L 44 - 64
2025-12-30 @ Wittenberg W 60 - 52
2026-01-10 @ Heidelberg W 84 - 46
2026-01-17 vs Ohio Northern W 64 - 55
2026-01-21 @ Muskingum L 72 - 73
2026-01-24 vs Capital L 79 - 85
2026-01-28 vs Mount Union W 86 - 78
2026-01-31 vs Baldwin Wallace L 66 - 89
2026-02-04 @ Otterbein L 66 - 71
2026-02-07 @ Wilmington (OH) W 74 - 64

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%
Kelsey Harlan - 19 26.8 14.2 2.5 3.3 2.2 0.2 3.5 11.1 7.8 -31 -1.4 -6.5 45.7 30.2 67.4 1.89 53.9 49.5
Kendall Sury - 17 21.2 9.2 3.4 0.8 1.2 0.5 0.9 7.1 7.1 -37 -1.9 -13.0 45.0 18.2 89.8 0.37 55.1 46.7
TJ Carpenter - 18 25.4 9.1 4.4 1.5 1.1 0.5 2.3 8.4 5.8 -66 -3.1 -15.3 43.0 11.1 64.0 -1.58 47.1 43.4
Ava Heller - 19 20.1 7.7 3.0 0.3 0.6 0.1 0.7 5.9 5.1 -33 -1.6 -7.8 46.4 39.5 81.8 1.04 57.7 53.1
Abby Garner - 19 19.2 6.8 4.9 0.7 1.1 0.4 1.6 6.1 6.1 -45 -2.0 -11.6 41.4 100.0 72.1 3.0 47.8 42.2
Emma Rasmussen - 19 23.9 5.7 3.0 0.7 1.3 0.2 1.4 5.4 4.1 -58 -2.6 -12.1 33.0 31.7 63.6 -2.04 45.9 42.2
Amelia Uhrig - 17 22.1 5.0 4.2 0.6 1.2 0.7 1.7 5.6 4.4 -23 -1.1 -10.4 36.5 15.4 39.4 1.61 38.5 37.5
Sophie Nelson - 12 13.8 4.2 1.2 0.4 0.7 0.2 1.0 4.1 1.6 -73 -4.9 -55.6 32.7 34.5 69.2 1.63 46.6 42.9
Aleigha Busse - 3 6.1 3.3 0.7 0.0 0.7 0.0 0.0 1.7 3.0 - - - 40.0 0.0 75.0 - 58.7 40.0
Payten Bruns - 10 10.2 3.0 3.2 0.3 0.1 0.3 0.5 2.2 4.2 -16 -1.6 -17.1 27.3 0.0 42.9 0.21 37.1 27.3
Sarah Podkul - 19 11.4 2.6 1.2 1.3 0.9 0.0 1.5 3.4 1.2 -72 -3.3 -33.1 31.2 23.5 33.3 3.33 34.7 34.4
Ella McMillen - 15 13.5 2.4 1.9 0.4 0.6 0.4 0.6 3.3 1.7 -40 -2.4 -15.9 34.0 0.0 33.3 2.13 34.2 34.0
Tess Trimble - 12 5.5 1.2 0.8 0.5 0.6 0.0 0.3 1.1 1.8 4 0.4 6.4 30.8 20.0 42.9 -1.28 39.1 34.6
Callie Powell - 5 6.0 1.0 1.4 0.0 0.2 0.0 0.0 2.6 0.0 4 0.8 15.1 15.4 0.0 33.3 0.51 17.5 15.4
Kayla Peterson - 12 4.9 0.8 0.8 0.1 0.2 0.0 0.3 0.8 0.7 1 0.1 3.4 30.0 0 50.0 -0.34 35.6 30.0
Brooke Lehmkuhl - 3 2.6 0.7 0.7 0.0 0.0 0.0 0.3 1.7 -0.7 - - - 20.0 0 0 - 20.0 20.0
Madison Lynn - 13 6.0 0.4 0.5 0.3 0.1 0.0 0.2 0.9 0.2 -17 -1.2 -15.9 16.7 20.0 0 -0.89 20.8 20.8

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