🐻⬇️🏀

Elmhurst

Also known as: Elmhurst
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 → 1062 (#115) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1060 (#223) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1017 (#311) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +14.8 (#63) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +6.0 (#258) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.607 (#400) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +5.3 More → 0.657 (#299) NetEff +5.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +10.0 More → 0.760 (#290) AdjNet +10.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +9.9 More → 0.762 (#288) AdjNet +9.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.9 | AdjD 65.7 More → 0.615 (#291) AdjO 70.9 | AdjD 65.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.7 | AdjD 62.0 More → 0.627 (#200) AdjO 67.7 | AdjD 62.0
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 → 0.663 (#247) 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 → 0.656 (#254) 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 21 More → 1045 (#261) RD 93 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Rose-Hulman W 72 - 51
2025-11-15 @ WashU L 70 - 83
2025-11-19 vs Kalamazoo W 59 - 39
2025-11-25 vs Manchester L 59 - 68
2025-11-29 @ UChicago L 0 - 0
2025-12-03 vs Millikin W 64 - 60
2025-12-13 vs Ill. Wesleyan L 59 - 81
2025-12-17 vs Adrian W 60 - 54
2025-12-20 @ St. Mary's (IN) W 74 - 55
2025-12-29 @ Ohio Northern L 62 - 73
2025-12-30 @ Trine L 62 - 81
2026-01-10 vs Augustana (IL) W 64 - 61
2026-01-14 vs Carthage L 70 - 73
2026-01-17 @ North Park W 95 - 67
2026-01-24 vs North Central (IL) L 61 - 71
2026-01-28 vs Wheaton (IL) W 82 - 52
2026-01-31 @ Millikin W 72 - 63
2026-02-04 vs Carroll (WI) L 50 - 63
2026-02-07 @ Ill. Wesleyan L 59 - 77

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%
Kristin Bukata - 18 38.5 16.7 6.3 7.8 1.6 0.5 3.1 12.3 17.5 122 6.8 43.9 48.6 17.4 71.7 1.45 55.4 49.5
Natalie Harty - 18 28.4 12.3 1.5 0.8 1.5 0.2 1.9 10.4 3.9 77 3.9 36.4 39.4 35.2 82.4 0.28 54.4 51.3
Anna Kleszynski - 18 28.4 11.7 8.7 0.9 1.6 0.3 1.0 11.1 11.1 80 4.0 49.8 42.2 30.9 42.5 2.29 48.5 48.5
Natalie Robinson - 17 28.7 8.8 6.1 0.7 1.1 0.9 1.4 6.4 9.9 40 2.1 22.9 60.2 0 44.4 -1.33 58.7 60.2
Maia Lewers - 18 30.8 6.9 2.2 1.8 0.9 0.1 2.1 7.4 2.3 83 4.2 45.0 33.6 32.4 63.9 1.77 41.4 37.7
Sierra Gibson - 10 14.3 4.9 2.4 0.5 0.6 0.2 2.6 6.6 -0.6 14 1.2 10.0 25.8 0.0 68.2 -1.31 32.4 25.8
Diellza Dalipi - 18 15.0 3.2 2.7 0.4 0.4 0.1 0.7 2.7 3.4 31 1.6 24.5 53.1 33.3 38.5 2.12 53.0 54.1
Natally Medina - 5 6.7 2.4 1.2 0.0 0.2 0.0 1.0 1.6 1.2 6 1.0 110.8 62.5 0 50.0 0.16 61.5 62.5
Jacy Fierst - 13 8.7 2.0 0.8 0.2 0.2 0.1 0.5 2.2 0.4 4 0.3 3.7 31.0 30.4 50.0 -0.35 43.5 43.1
Ella Conyers - 18 7.9 1.6 0.6 0.3 0.1 0.0 0.3 2.5 -0.2 35 1.8 62.5 24.4 18.9 0 1.05 32.2 32.2
Jayla White - 12 5.7 0.7 0.7 0.5 0.2 0.0 0.2 1.0 0.8 15 1.2 68.3 25.0 0.0 50.0 -0.22 29.1 25.0
Macie Gil Ramos - 9 4.7 0.4 0.0 0.1 0.1 0.0 0.4 1.0 -0.8 -12 -1.1 -165.5 11.1 16.7 50.0 0.11 20.2 16.7
Trinity Childs - 5 4.2 0.4 1.0 0.0 0.0 0.0 0.4 0.4 0.6 6 1.2 110.8 50.0 0 0 0.16 50.0 50.0
Diamond Young - 3 1.4 0.0 0.0 0.0 0.0 0.0 0.3 0.7 -1.0 - - - 0.0 0 0 - 0.0 0.0
Cheyenne White - 2 2.5 0.0 0.0 0.0 0.0 0.0 0.5 0.0 -0.5 -5 -2.5 -111.1 0 0 0.0 0.51 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