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Lawrence

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2016 2015
Also known as: Lawrence
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 → 1176 (#71) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1143 (#106) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1100 (#96) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +10.2 (#108) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +8.3 (#226) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.769 (#326) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +19.9 More → 0.951 (#128) NetEff +19.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.4 More → 0.568 (#359) AdjNet +2.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.3 More → 0.567 (#360) AdjNet +2.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 59.1 | AdjD 58.9 More → 0.504 (#370) AdjO 59.1 | AdjD 58.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.0 | AdjD 50.2 More → 0.727 (#100) AdjO 61.0 | AdjD 50.2
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 → 0.727 (#184) 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 → 0.743 (#170) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 105 | GP 21 More → 1154 (#103) RD 105 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs North Park - Incomplete score
2025-11-11 @ Dominican (IL) - Incomplete score
2025-11-14 vs North Central (IL) - Incomplete score
2025-11-18 vs Rockford - Incomplete score
2025-11-21 vs Marian (WI) - Incomplete score
2025-12-02 @ Knox - Incomplete score
2025-12-09 vs Wis.-Stevens Point - Incomplete score
2025-12-13 @ Monmouth (IL) - Incomplete score
2025-12-20 vs Wis.-La Crosse - Incomplete score
2026-01-10 @ Grinnell - Incomplete score
2026-01-13 @ Ripon - Incomplete score
2026-01-17 vs Monmouth (IL) - Incomplete score
2026-01-21 vs Beloit - Incomplete score
2026-01-24 @ Illinois Col. - Incomplete score
2026-01-31 vs Grinnell - Incomplete score
2026-02-04 vs Ripon - Incomplete score
2026-02-07 @ Cornell College - Incomplete score

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%
Kate Adams - 15 31.0 16.3 3.3 1.1 2.6 0.5 2.2 12.8 8.7 97 5.4 35.3 40.1 35.1 80.6 1.42 55.6 50.5
Sophie Morey - 17 25.7 10.2 6.3 1.6 0.6 1.0 1.6 7.8 10.4 53 2.6 24.6 50.0 0 75.9 0.05 55.5 50.0
Charlotte Brennan - 16 32.3 10.0 3.9 4.8 1.8 0.2 2.5 9.6 8.6 104 5.8 42.3 38.3 20.0 72.9 2.79 45.7 40.6
Josie Chose - 17 16.5 6.6 5.2 0.9 0.4 1.2 1.5 6.6 6.1 102 4.9 67.9 43.4 40.0 60.0 2.03 46.0 44.2
Molly Deering - 8 16.6 5.4 3.6 1.0 1.2 0.0 1.9 4.5 4.9 28 3.1 30.0 41.7 28.6 90.0 1.23 53.2 47.2
Josie Eager - 17 27.0 5.3 2.9 1.9 1.7 0.1 1.9 7.6 2.4 41 2.3 15.8 24.0 25.0 57.1 0.17 33.3 31.8
Olivia Kesti - 17 28.0 5.3 7.0 2.2 0.9 1.5 2.5 5.9 8.5 21 1.1 8.7 36.6 14.3 65.0 -2.07 41.0 38.1
Kylie Heller - 12 11.2 2.8 1.1 0.4 0.4 0.2 0.7 2.7 1.6 1 0.1 10.7 31.2 20.0 69.2 0.76 43.7 37.5
Abby Talbot - 8 6.9 1.9 1.9 0.4 0.0 0.2 0.4 2.5 1.5 -29 -3.6 -119.8 35.0 0.0 33.3 -3.56 35.2 35.0
Kylie Loomis - 9 5.2 1.8 0.7 0.0 0.1 0.2 0.6 1.4 0.8 25 3.1 512.8 38.5 42.9 75.0 -4.79 54.2 50.0
Maggie Jarzemsky - 16 9.7 1.8 3.1 0.7 0.4 0.2 1.4 1.2 3.6 -20 -1.2 -55.0 63.2 0 57.1 -1.19 63.4 63.2
Alena Vondracek - 7 3.2 1.7 0.1 0.0 0.0 0.1 0.1 1.4 0.4 - - - 40.0 50.0 0 -1.18 60.0 60.0
Emma Moya - 13 6.4 1.4 0.6 0.2 0.2 0.1 0.2 1.5 0.8 35 2.1 267.5 30.0 30.0 75.0 1.72 41.4 37.5
Bailey Griffis - 10 8.1 1.1 0.7 0.7 0.2 0.0 0.2 1.2 1.3 39 3.0 55.6 25.0 27.3 50.0 3.05 40.0 37.5
Adrijana Albijanic - 7 2.3 0.9 0.9 0.3 0.0 0.1 0.1 0.6 1.4 - - - 50.0 0 100.0 - 61.5 50.0
Shelby Eaton - 5 2.6 0.6 0.8 0.0 0.4 0.0 0.0 1.0 0.8 - - - 20.0 100.0 0 - 30.0 30.0
Taylor Svoboda - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Paxten Aksamit - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Avery VanDellen - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 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