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Carroll (WI)

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Carroll (WI)
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 → 1287 (#23) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1342 (#19) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +63 elo More → 1160 (#34) HCA +63 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.5 More → +30.9 (#13) HCA +2.5
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More → +27.6 (#18) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.892 (#61) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +10.1 More → 0.779 (#237) NetEff +10.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +39.7 More → 0.990 (#20) AdjNet +39.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +40.7 More → 0.991 (#20) AdjNet +40.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 77.7 | AdjD 53.8 More → 0.898 (#21) AdjO 77.7 | AdjD 53.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.0 | AdjD 58.3 More → 0.776 (#43) AdjO 72.0 | AdjD 58.3
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 → 0.936 (#21) 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 → 0.923 (#22) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 123 | GP 24 More → 1335 (#24) RD 123 | GP 24

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Wis.-Oshkosh L 59 - 62
2025-11-08 @ St. Norbert W 75 - 48
2025-11-12 vs Beloit W 72 - 45
2025-11-19 @ Wis.-Whitewater L 62 - 73
2025-11-22 vs Wartburg W 67 - 61
2025-11-25 vs UChicago W 73 - 52
2025-11-30 vs Ripon W 86 - 74
2025-12-03 @ Wheaton (IL) W 76 - 52
2026-01-10 vs Millikin W 82 - 64
2026-01-14 @ North Central (IL) W 78 - 74
2026-01-17 @ Augustana (IL) W 75 - 71
2026-01-21 vs North Park W 79 - 63
2026-01-24 vs Ill. Wesleyan - Incomplete score
2026-01-28 vs North Central (IL) - Incomplete score
2026-01-31 vs Wheaton (IL) W 81 - 56
2026-02-04 @ Elmhurst W 63 - 50
2026-02-07 vs Augustana (IL) W 75 - 55
2026-02-11 @ North Park W 64 - 42
2026-02-14 @ Millikin W 84 - 46
2026-02-21 vs Carthage W 68 - 65
2026-02-27 vs Wheaton (IL) W 78 - 65
2026-02-28 vs Ill. Wesleyan L 70 - 74
2026-03-06 vs DePauw W 74 - 67
2026-03-07 @ Wis.-La Crosse L 60 - 80

2026 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Natalie Gricius - 24 30.0 22.7 5.6 1.8 1.7 0.1 2.6 15.1 14.2 254 26 9.8 12.9 57.5 30.7 79.7 5.88 65.5 61.7
Emilie Wizner - 24 33.7 16.7 2.7 2.4 1.3 0.2 1.3 13.6 8.4 277 27 10.3 12.6 42.8 41.0 74.2 4.83 56.6 54.3
Julia Lokker - 24 24.9 14.1 3.4 2.6 1.3 0.2 1.6 12.4 7.6 135 27 5.0 8.3 44.8 33.7 80.4 0.5 53.3 50.7
Anna Nielsen - 24 21.5 5.7 3.3 1.8 0.9 0.3 1.8 4.9 5.3 149 27 5.5 10.8 40.7 37.5 61.5 1.81 48.6 44.5
Ryann Wendt - 23 23.6 4.5 4.4 2.6 1.0 1.1 1.2 4.3 8.1 182 26 7.0 12.0 41.8 23.5 58.1 2.47 46.6 43.9
Katie Barger - 23 29.1 4.3 5.8 3.7 2.1 0.2 2.4 2.8 10.9 191 26 7.3 10.4 61.5 0.0 70.4 2.4 64.4 61.5
Kacy Kratz - 24 17.1 2.2 3.4 1.5 0.5 0.2 1.0 2.6 4.2 44 27 1.6 3.9 29.0 22.2 39.4 -1.28 34.6 32.3
Lainey Gussman - 24 11.6 1.5 1.5 1.5 0.5 0.1 0.9 1.2 2.9 45 27 1.7 5.9 53.3 14.3 33.3 -0.37 53.6 55.0
Kailey Wozniak - 7 1.5 0.7 0.7 0.0 0.0 0.0 0.1 0.4 0.9 - - - - 66.7 0 100.0 -1.45 72.7 66.7
Alayna Petalber - 16 7.5 0.6 0.6 0.4 0.5 0.0 0.6 2.0 -0.4 12 15 0.8 3.8 12.5 10.5 0.0 2.49 14.8 15.6
Juliette Huff - 11 1.5 0.5 0.5 0.1 0.1 0.0 0.3 0.3 0.5 -14 7 -2.0 -33.4 33.3 50.0 100.0 -3.03 64.4 50.0
Lauren Capstran - 16 2.8 0.3 0.6 0.0 0.1 0.1 0.3 0.2 0.6 -55 13 -4.2 -48.8 33.3 0.0 75.0 -7.02 52.5 33.3
Ciara McMahon - 14 3.3 0.3 0.2 0.3 0.4 0.0 0.1 0.8 0.3 -15 12 -1.2 -11.4 9.1 9.1 50.0 -2.87 16.8 13.6
Shannon Earley - 10 2.2 0.2 1.2 0.1 0.1 0.4 0.1 0.2 1.7 -10 7 -1.4 -18.4 50.0 0 0 -2.01 50.0 50.0
McKenna Delaney - 7 0.6 0.0 0.1 0.0 0.0 0.0 0.1 0.3 -0.3 - - - - 0.0 0.0 0 -1.88 0.0 0.0
Payton Hayes - 6 0.4 0.0 0.2 0.0 0.0 0.0 0.2 0.0 0.0 - - - - 0 0 0 -1.81 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