🐻⬇️🏀

Oberlin

Also known as: Oberlin
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 → 943 (#344) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 974 (#364) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 877 (#632) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +4.9 (#138) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -5.0 (#431) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.416 (#486) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -19.7 More → 0.055 (#518) NetEff -19.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +5.4 More → 0.652 (#322) AdjNet +5.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +5.2 More → 0.648 (#322) AdjNet +5.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.4 | AdjD 59.7 More → 0.562 (#324) AdjO 62.4 | AdjD 59.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 56.1 | AdjD 61.3 More → 0.382 (#555) AdjO 56.1 | AdjD 61.3
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 → 0.364 (#486) 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 → 0.352 (#503) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 103 | GP 21 More → 881 (#433) RD 103 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-11 vs Carnegie Mellon L 50 - 53
2025-11-15 @ Penn St.-Behrend L 56 - 68
2025-11-19 vs Baldwin Wallace L 45 - 60
2025-11-25 vs Alma W 64 - 51
2025-11-28 @ Claremont-M-S L 44 - 62
2025-11-29 @ Pomona-Pitzer W 63 - 53
2025-12-03 vs Wooster W 58 - 48
2025-12-10 @ Kalamazoo W 58 - 52
2025-12-13 vs Adrian L 48 - 66
2025-12-29 @ CWRU L 55 - 68
2025-12-30 @ Stevenson W 70 - 57
2026-01-10 vs DePauw L 63 - 69
2026-01-14 @ Denison L 56 - 93
2026-01-17 vs Wittenberg L 52 - 61
2026-01-21 vs John Carroll L 40 - 83
2026-01-24 @ Kenyon W 67 - 57
2026-01-31 vs Ohio Wesleyan L 39 - 71
2026-02-04 @ Wooster L 57 - 60
2026-02-07 @ DePauw L 42 - 69

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%
Morgan Altavilla - 1 35.3 22.0 2.0 2.0 1.0 0.0 4.0 12.0 11.0 171 10.7 40.0 50.0 50.0 81.8 5.46 65.3 54.2
Madilyn Boyer - 1 25.4 18.0 5.0 2.0 3.0 0.0 2.0 22.0 4.0 13 1.3 5.6 36.4 33.3 0.0 0.88 39.3 40.9
Lauren Vanderstelt - 1 38.6 18.0 15.0 0.0 1.0 3.0 1.0 18.0 18.0 -11 -0.6 -3.1 38.9 0.0 100.0 0.39 45.5 38.9
Alaina Fabin - 1 31.3 14.0 12.0 4.0 6.0 0.0 4.0 12.0 20.0 218 11.5 56.1 58.3 0.0 0 2.81 58.3 58.3
Ruby Hogan - 1 40.0 14.0 19.0 6.0 3.0 0.0 7.0 18.0 17.0 -75 -4.7 -31.1 27.8 0.0 66.7 -0.28 33.9 27.8
Nicole Timko - 1 36.4 13.0 7.0 2.0 5.0 2.0 4.0 10.0 15.0 34 1.7 6.5 30.0 14.3 100.0 0.84 51.4 35.0
Angela Kumler - 14 31.0 12.3 5.3 4.5 4.1 1.0 3.9 9.6 13.6 -1 -0.1 -0.3 48.9 11.1 66.7 0.69 53.7 49.6
Allie Heyer - 1 22.4 11.0 4.0 1.0 0.0 0.0 2.0 10.0 4.0 15 0.8 5.5 40.0 75.0 0 -1.99 55.0 55.0
Csiszar, Katherine - 1 30.0 10.0 12.0 2.0 4.0 1.0 2.0 12.0 15.0 - - - 25.0 0.0 66.7 - 34.2 25.0
Lily Najmulski - 14 32.9 9.8 3.4 2.3 1.2 0.1 3.3 8.9 4.5 -16 -0.8 -3.6 40.8 39.4 87.5 -0.43 53.3 52.0
Brittany Miller - 1 26.7 9.0 5.0 0.0 0.0 0.0 0.0 10.0 4.0 -67 -4.8 -289.7 20.0 33.3 66.7 -0.68 35.6 25.0
Gabby Peña-Hilzen - 14 24.8 8.9 4.2 0.6 1.3 0.9 2.4 8.9 4.6 -32 -1.8 -32.5 41.6 16.0 51.5 -2.01 44.8 43.2
Krystal Montas - 15 31.3 8.3 6.2 1.5 1.1 1.3 2.5 8.5 7.4 -8 -0.4 -2.3 35.9 12.0 78.9 1.33 43.2 37.1
Aleena Dinker - 1 32.5 8.0 1.0 2.0 1.0 0.0 2.0 3.0 7.0 52 2.7 11.1 33.3 50.0 83.3 1.9 70.9 50.0
Savannah Gibbs - 1 34.4 6.0 3.0 5.0 2.0 0.0 0.0 9.0 7.0 20 1.0 4.6 22.2 0 66.7 -0.98 29.1 22.2
Ellie Pollock-Ballard - 15 26.6 5.7 2.3 0.8 0.4 0.0 1.5 7.6 0.0 -26 -1.4 -12.2 27.2 26.2 100.0 -0.7 37.0 36.4
Anora Lee - 4 23.3 5.5 1.0 0.8 0.5 0.0 3.5 3.8 0.5 8 1.1 6.7 53.3 37.5 75.0 0.37 65.6 63.3
Noa Brown - 15 22.6 4.3 1.7 1.0 0.6 0.1 2.1 6.3 -0.7 -13 -0.6 -5.4 23.2 26.8 60.0 -0.39 32.7 31.1
Anya Peper - 1 10.5 4.0 2.0 0.0 0.0 0.0 0.0 5.0 1.0 53 3.3 32.5 20.0 0.0 100.0 -2.4 34.0 20.0
Lilly Palladino - 1 29.8 4.0 4.0 0.0 5.0 0.0 2.0 6.0 5.0 190 10.0 55.4 33.3 0 0.0 3.3 29.1 33.3
Shelby Lewis - 1 8.2 3.0 1.0 0.0 1.0 0.0 0.0 2.0 3.0 -2 -0.1 -1.2 0.0 0 75.0 -1.2 39.9 0.0
Nisha Musunuri - 1 14.3 3.0 4.0 0.0 1.0 0.0 1.0 3.0 4.0 48 2.7 29.3 33.3 50.0 0 3.87 50.0 50.0
Niyati Bangalore - 1 5.9 3.0 1.0 1.0 0.0 0.0 0.0 1.0 4.0 -3 -0.2 -2.3 100.0 100.0 0 0.67 150.0 150.0
Josee Cooke - 1 27.5 3.0 4.0 0.0 0.0 2.0 1.0 6.0 2.0 -42 -2.6 -40.3 16.7 0.0 50.0 -0.41 21.8 16.7
Ava Arias - 1 11.8 2.0 3.0 0.0 0.0 0.0 3.0 4.0 -2.0 41 2.0 33.6 25.0 0.0 0 -3.51 25.0 25.0
Ella Garrity - 1 20.3 2.0 4.0 1.0 0.0 0.0 4.0 2.0 1.0 95 5.6 34.6 50.0 0.0 0 3.55 50.0 50.0
Addy Landowski - 1 6.5 2.0 1.0 0.0 0.0 0.0 0.0 2.0 1.0 19 1.3 15.7 50.0 0.0 0 -3.57 50.0 50.0
Emma Marstellar - 1 2.4 2.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 177 9.3 78.3 100.0 0 0 4.61 100.0 100.0
Jillian Soder - 1 14.9 2.0 0.0 0.0 0.0 0.0 0.0 4.0 -2.0 16 1.1 10.0 25.0 0.0 0 -2.94 25.0 25.0
Julia Balaski - 1 34.1 2.0 7.0 4.0 3.0 0.0 4.0 7.0 5.0 193 10.2 53.5 14.3 0 0.0 2.02 13.4 14.3
Semaj' Robertson - 1 10.7 2.0 1.0 0.0 0.0 0.0 4.0 4.0 -5.0 -63 -3.5 -30.1 25.0 0.0 0 1.85 25.0 25.0
Scarlett Hosner - 1 5.0 2.0 0.0 0.0 0.0 0.0 0.0 2.0 0.0 - - - 50.0 0 0 - 50.0 50.0
Taylor Dinda - 1 13.1 2.0 4.0 0.0 1.0 0.0 1.0 7.0 -1.0 -92 -5.1 -38.9 14.3 0.0 0 -1.26 14.3 14.3
Elisabeth Wilks - 1 20.6 2.0 3.0 1.0 2.0 0.0 2.0 6.0 0.0 -110 -7.3 -57.1 16.7 0.0 0 -2.01 16.7 16.7
Samantha Dormer - 12 13.2 0.6 2.1 0.6 0.9 0.0 1.0 2.0 1.2 -72 -4.5 -51.8 12.5 0.0 16.7 -2.5 13.1 12.5
Summer Wish - 10 8.5 0.2 0.6 0.5 0.3 0.0 0.4 0.9 0.3 -9 -0.8 -11.4 11.1 0.0 0 -2.6 11.1 11.1
Camilla McDaniel - 8 3.1 0.0 0.1 0.0 0.0 0.0 0.0 0.2 -0.1 -14 -1.8 -56.0 0.0 0.0 0 -0.97 0.0 0.0
Liv LaFond - 1 5.7 0.0 2.0 0.0 0.0 0.0 0.0 0.0 2.0 42 5.2 184.3 0 0 0 1.2 0 0
Anna Prouty - 1 1.7 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 10 2.0 333.3 0 0 0 0.12 0 0
Payton Baney - 1 16.2 0.0 7.0 0.0 3.0 1.0 2.0 4.0 5.0 52 2.6 11.0 0.0 0 0.0 3.37 0.0 0.0
Sophia Moir - 1 17.9 0.0 0.0 0.0 1.0 0.0 2.0 1.0 -2.0 -30 -1.7 -11.7 0.0 0.0 0 1.18 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