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Ill. Springfield

Also known as: Ill. Springfield
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 → 962 (#384) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 921 (#401) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 947 (#562) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +4.8 (#125) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +9.4 (#221) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.339 (#428) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +4.6 More → 0.650 (#229) NetEff +4.6
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -25.0 More → 0.029 (#433) NetEff -25.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +3.9 More → 0.612 (#349) AdjNet +3.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +4.7 More → 0.636 (#344) AdjNet +4.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.1 | AdjD 68.9 More → 0.550 (#361) AdjO 71.1 | AdjD 68.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.5 | AdjD 61.0 More → 0.644 (#125) AdjO 67.5 | AdjD 61.0
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 → 0.633 (#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 → 0.629 (#243) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 97 | GP 23 More → 934 (#320) RD 97 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-04 vs Westminster (UT) W 99 - 47
2025-11-14 @ Hillsdale L 61 - 77
2025-11-15 vs Tiffin L 73 - 81
2025-11-18 @ Purdue Northwest W 85 - 75
2025-11-22 vs Ferris St. L 64 - 73
2025-11-25 vs St. Francis (IL) W 76 - 56
2025-11-29 @ Mo.-St. Louis L 46 - 69
2025-12-01 vs William Jewell W 75 - 49
2025-12-04 vs McKendree L 66 - 68
2025-12-06 vs Maryville (MO) L 56 - 74
2025-12-14 vs Roosevelt W 87 - 76
2025-12-16 @ Wis.-Parkside L 72 - 81
2026-01-02 vs UIndy W 60 - 50
2026-01-10 @ Truman St. L 53 - 64
2026-01-15 vs Rockhurst W 86 - 36
2026-01-17 vs Southwest Baptist W 89 - 51
2026-01-22 @ Drury L 49 - 81
2026-01-29 vs Lincoln (MO) W 67 - 48
2026-01-31 vs Mo.-St. Louis W 75 - 68
2026-02-05 @ Maryville (MO) L 50 - 60
2026-02-07 @ McKendree L 70 - 83

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%
Tasia Jordan - 1 21.5 26.0 3.0 1.0 2.0 2.0 0.0 13.0 21.0 - - - 84.6 100.0 100.0 - 90.8 88.5
Maeva GAUFFRENET - 1 22.1 16.0 0.0 5.0 1.0 1.0 1.0 7.0 15.0 - - - 57.1 66.7 66.7 - 83.0 85.7
Kayla Rice - 20 28.3 14.8 2.6 2.1 3.2 0.4 2.4 13.4 7.5 61 2.7 10.0 36.8 39.0 77.9 1.15 49.0 44.1
Piper Carlson - 1 22.2 13.0 11.0 3.0 3.0 1.0 0.0 7.0 24.0 - - - 71.4 0 37.5 - 61.8 71.4
Julia Mingus - 20 28.0 12.5 1.8 2.0 1.4 0.0 3.1 8.6 5.9 50 2.3 9.2 44.8 48.9 85.5 0.47 62.7 57.3
Kennedy Osterman - 20 29.6 12.3 4.3 1.6 2.4 0.1 2.5 11.4 6.8 32 1.5 5.6 39.0 35.9 74.3 -3.32 50.5 48.2
Sophia Covello - 1 20.0 10.0 1.0 2.0 2.0 1.0 1.0 5.0 10.0 - - - 80.0 66.7 0 - 100.0 100.0
Asa Wolfram - 1 15.2 8.0 3.0 2.0 0.0 0.0 1.0 6.0 6.0 - - - 50.0 0 40.0 - 48.8 50.0
Camryn Collman - 1 17.6 8.0 0.0 1.0 1.0 0.0 0.0 5.0 5.0 - - - 60.0 66.7 0 - 80.0 80.0
Libby Blythe - 15 17.9 7.7 2.9 0.3 0.9 0.0 2.0 6.1 3.7 -19 -1.2 -6.1 45.7 35.4 75.0 0.33 57.5 54.9
Kacey Spink - 1 24.5 7.0 3.0 5.0 5.0 0.0 1.0 7.0 12.0 - - - 28.6 50.0 100.0 - 44.4 35.7
Molly Knight - 20 22.4 6.7 2.5 2.6 1.3 0.1 3.3 6.5 3.4 -10 -0.5 -2.1 34.4 31.9 80.6 0.56 45.6 40.1
Mackenzie Marenchin - 1 18.1 6.0 4.0 0.0 2.0 0.0 1.0 4.0 7.0 - - - 50.0 0.0 100.0 - 61.5 50.0
Alyse Aby - 1 19.1 4.0 0.0 0.0 0.0 0.0 0.0 2.0 2.0 - - - 50.0 0 100.0 - 69.4 50.0
Allysia McDaniel - 20 15.5 3.8 3.9 0.6 0.5 0.1 1.1 3.1 4.7 -45 -2.0 -11.7 50.8 0 75.0 -1.71 54.3 50.8
Alandyn Simmons - 18 11.6 3.7 3.4 0.1 0.8 0.1 1.2 3.3 3.7 41 2.0 28.5 50.0 0.0 46.7 -1.29 50.3 50.0
Paula Strzelecki - 18 11.8 3.5 3.3 0.7 0.5 0.2 1.1 2.8 4.2 16 0.8 9.1 56.9 0 62.5 -2.89 57.8 56.9
Allison Wheeler - 20 22.8 2.8 2.4 0.8 1.1 0.1 0.6 2.9 3.7 9 0.4 2.0 36.2 25.7 66.7 0.28 45.3 44.0
T McLaren - 1 1.4 2.0 2.0 0.0 0.0 0.0 0.0 2.0 2.0 - - - 50.0 0 0 -0.29 50.0 50.0
Makenna Yeager - 9 17.6 1.8 2.1 1.4 1.0 0.0 0.9 1.8 3.7 66 5.5 39.5 37.5 0.0 50.0 -0.77 41.0 37.5
Brynn Tabeling - 16 10.6 1.4 1.2 1.1 0.4 0.1 1.9 1.7 0.6 4 0.2 2.1 29.6 33.3 60.0 -3.15 39.4 37.0
Brooke Spychalski - 12 3.9 1.2 0.2 0.0 0.2 0.0 0.4 1.2 0.2 -1 -0.1 -5.3 42.9 33.3 20.0 -0.49 46.3 50.0
Aspen Caldwell - 1 19.8 1.0 8.0 5.0 1.0 0.0 0.0 3.0 12.0 - - - 0.0 0 50.0 - 12.9 0.0
Tatianna McLaren - 1 4.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 -0.29 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