🐻⬇️🏀

Ill. Wesleyan

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Ill. Wesleyan
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 → 1154 (#23) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1261 (#24) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1185 (#33) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +25.4 (#12) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +17.7 (#134) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.920 (#224) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +13.0 More → 0.848 (#197) NetEff +13.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +37.8 More → 0.988 (#120) AdjNet +37.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +37.6 More → 0.988 (#124) AdjNet +37.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 81.7 | AdjD 57.3 More → 0.902 (#121) AdjO 81.7 | AdjD 57.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.2 | AdjD 54.5 More → 0.821 (#49) AdjO 71.2 | AdjD 54.5
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 → 0.876 (#81) 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 → 0.874 (#74) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 22 More → 1262 (#38) RD 101 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-15 vs Trinity (TX) W 73 - 63
2025-11-16 vs Wis.-Whitewater L 51 - 60
2025-11-21 @ Franciscan W 88 - 56
2025-11-22 @ Hope L 73 - 76
2025-11-29 vs Wis.-La Crosse W 64 - 53
2025-11-30 vs WashU W 59 - 54
2025-12-03 @ Augustana (IL) W 74 - 70
2025-12-13 @ Elmhurst W 81 - 59
2025-12-16 @ UChicago L 54 - 73
2025-12-29 @ Wis. Lutheran L 61 - 71
2025-12-29 @ Bethel (MN) W 78 - 76
2026-01-10 vs North Park W 77 - 39
2026-01-14 vs Millikin W 76 - 48
2026-01-17 @ Wheaton (IL) W 77 - 71
2026-01-21 @ Carthage W 74 - 52
2026-01-24 @ Carroll (WI) L 48 - 68
2026-01-28 @ Millikin W 86 - 54
2026-01-31 vs North Central (IL) W 80 - 71
2026-02-04 @ North Park W 71 - 32
2026-02-07 vs Elmhurst W 77 - 59

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%
Ava Bardic - 20 33.6 19.0 3.1 2.8 2.2 0.5 2.2 15.0 10.4 170 8.1 66.8 46.7 32.8 85.5 2.27 57.5 53.5
Sawyer White - 20 34.4 12.2 3.8 4.5 3.3 0.8 3.8 11.6 9.2 135 6.4 53.5 39.4 31.6 86.8 1.17 49.5 45.9
Asia Kobylarczyk - 20 25.2 9.4 3.9 1.1 1.6 0.8 1.2 8.1 7.3 68 3.2 39.0 42.6 33.3 91.7 0.87 54.5 51.2
Caitlin Leyden - 20 29.9 9.2 7.7 1.8 2.5 0.6 1.4 9.1 11.4 141 6.7 59.2 44.5 0.0 71.9 0.88 47.2 44.5
Leah Palmer - 11 19.3 9.1 4.9 0.9 1.0 0.8 1.4 7.1 8.3 54 5.4 29.7 46.2 15.4 74.3 2.22 53.5 47.4
Sara Balli - 18 27.2 7.8 5.6 2.3 1.3 0.1 2.9 8.3 5.8 73 3.8 47.1 34.7 21.7 67.5 0.85 42.1 38.0
Rena Robinson - 20 10.3 2.1 1.2 1.1 0.7 0.1 1.1 2.2 1.9 97 5.1 121.4 33.3 25.0 80.0 2.35 42.5 37.8
Ashley Mahlum - 15 4.5 2.0 0.6 0.1 0.1 0.1 0.3 1.3 1.3 23 1.4 89.3 50.0 22.2 53.3 -0.77 56.4 55.0
Martha Lipic - 20 9.0 2.0 2.2 0.1 0.2 0.1 0.9 2.0 1.8 39 1.9 133.9 35.0 0 76.5 -1.01 43.2 35.0
Luigi Lam - 11 4.4 1.9 0.5 0.2 0.3 0.0 0.4 2.0 0.5 12 1.0 44.0 40.9 21.4 0 -0.28 47.7 47.7
Alyssa Epps - 17 8.8 1.4 1.5 0.6 0.2 0.0 0.6 1.8 1.3 69 4.3 180.0 25.8 10.0 46.2 1.35 31.3 27.4
Liv Meyers - 6 3.2 1.0 1.2 0.0 0.0 0.0 0.3 0.5 1.3 7 1.0 53.8 66.7 0 100.0 -0.1 77.3 66.7
Lucy Hynes - 2 4.1 1.0 1.0 0.5 0.5 0.0 0.0 2.5 0.5 - - - 20.0 0.0 0 - 20.0 20.0
Kaidyn King - 13 4.8 0.9 0.8 0.5 0.0 0.0 0.2 1.1 1.1 1 0.1 4.2 28.6 0 66.7 0.78 36.1 28.6
Sofia Flynn - 4 2.2 0.8 0.8 0.0 0.2 0.0 0.2 0.8 0.8 -6 -1.5 -70.9 33.3 0 100.0 -0.53 43.6 33.3
Payton Jacob - 10 6.0 0.2 0.7 0.6 0.2 0.1 0.4 1.4 0.0 17 1.7 61.6 7.1 0.0 0 -1.12 7.1 7.1
Madison Sears - 5 3.3 0.2 1.6 0.0 0.0 0.2 0.2 0.2 1.6 -3 -0.5 -25.8 0.0 0 50.0 0.6 26.6 0.0
Megan Allen - 7 3.5 0.0 0.4 0.0 0.1 0.1 0.0 0.1 0.6 9 1.1 63.0 0.0 0.0 0 0.13 0.0 0.0
Laura Mahlum - 1 0.4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0 0.0 0.0 0 0 0 0.02 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