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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 → 987 (#402) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1001 (#380) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 918 (#652) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -9.5 (#252) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -14.1 (#599) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.220 (#653) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -18.0 More → 0.112 (#630) AdjNet -18.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -18.2 More → 0.106 (#630) AdjNet -18.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.0 | AdjD 76.4 More → 0.243 (#595) AdjO 64.0 | AdjD 76.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.3 | AdjD 74.5 More → 0.342 (#637) AdjO 67.3 | AdjD 74.5
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 → 0.244 (#630) 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 → 0.255 (#628) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 100 | GP 22 More → 916 (#474) RD 100 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Lakeland W 93 - 79
2025-11-08 @ Wis. Lutheran W 75 - 70
2025-11-14 vs Northwestern-St. Paul W 72 - 67
2025-11-15 vs Martin Luther W 84 - 71
2025-11-19 @ St. Norbert W 66 - 60
2025-11-29 @ St. Thomas (MN) L 52 - 87
2025-12-02 vs Knox L 65 - 77
2025-12-06 vs Lake Forest W 88 - 77
2025-12-10 vs Wis.-Whitewater L 58 - 88
2025-12-13 @ Monmouth (IL) L 75 - 81
2025-12-20 @ Dominican (IL) W 75 - 61
2025-12-28 @ Wis.-Oshkosh L 52 - 89
2025-12-29 vs Wis.-Stout W 70 - 57
2026-01-07 vs Cornell College W 91 - 74
2026-01-10 @ Grinnell L 74 - 96
2026-01-13 @ Ripon L 67 - 83
2026-01-17 vs Monmouth (IL) L 62 - 75
2026-01-21 vs Beloit W 64 - 58
2026-01-24 @ Illinois Col. L 66 - 69
2026-01-31 vs Grinnell L 75 - 88
2026-02-05 vs Ripon W 75 - 71
2026-02-07 @ Cornell College L 65 - 90

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%
CJ Campbell - 22 26.0 13.1 5.4 1.6 0.8 0.7 1.9 11.1 8.7 -4 -0.2 -0.9 42.2 37.7 75.6 -4.36 54.8 52.3
Casey Schoenecker - 22 29.0 12.1 7.0 2.3 0.6 1.1 2.2 10.3 10.7 8 0.4 1.6 50.4 0.0 41.3 0.8 49.9 50.4
Nicholas Gouriotis - 22 27.3 12.0 5.0 1.5 0.6 0.2 1.6 9.1 8.5 -34 -1.6 -6.8 47.0 40.4 86.1 -0.54 60.9 58.0
Nathan Valentine - 18 27.0 9.2 2.9 3.3 0.8 0.1 1.3 6.7 8.3 31 1.7 12.2 43.3 43.0 81.8 1.33 61.3 57.5
Hogan Demovsky - 22 29.0 8.0 3.3 1.3 0.6 0.2 1.1 5.4 6.9 -9 -0.4 -1.7 44.1 38.6 78.0 0.4 63.2 58.5
Nolan Koch - 20 12.3 5.8 1.7 0.8 0.5 0.2 0.7 4.5 3.9 -35 -1.8 -15.2 43.3 0.0 59.1 -0.87 49.1 43.3
Caleb Nash - 22 16.6 3.5 2.2 1.9 0.4 0.1 1.5 3.4 3.2 -43 -2.0 -12.8 37.8 8.3 54.1 -0.32 42.6 38.5
Nicolas Manzanera - 21 11.1 2.8 1.0 0.7 0.1 0.0 0.6 2.6 1.4 -46 -2.3 -28.6 35.2 42.9 61.5 -1.01 48.6 46.3
Cameron Nash - 20 10.6 2.7 2.7 0.8 0.2 0.1 0.3 2.6 3.6 -44 -2.3 -39.7 41.5 13.3 57.1 -0.94 45.6 43.4
Landon Key - 10 13.7 2.5 2.3 1.0 0.2 0.1 0.5 2.9 2.7 -20 -2.2 -14.7 41.4 50.0 0.0 1.42 41.8 43.1
Henry Jensen - 5 3.4 2.2 1.0 0.0 0.0 0.2 0.0 1.4 2.0 -12 -2.4 -85.5 57.1 0.0 100.0 1.38 66.1 57.1
Jackson Weber - 14 8.3 2.0 0.9 0.9 0.1 0.0 0.9 2.1 0.9 -5 -0.4 -6.9 37.9 0.0 54.5 2.61 41.4 37.9
Matai Edgecombe - 16 5.1 1.1 1.1 0.2 0.2 0.0 0.2 0.8 1.7 -19 -1.3 -26.3 50.0 0.0 45.5 -0.09 50.5 50.0
Damian Cejka - 9 3.9 1.0 0.1 0.1 0.2 0.0 0.4 0.6 0.4 -1 -0.1 -3.4 60.0 0 50.0 -0.76 58.9 60.0
Noah Portalatin - 8 1.7 0.4 0.5 0.0 0.0 0.0 0.4 0.4 0.1 -22 -3.1 -694.7 33.3 100.0 0 -1.01 50.0 50.0
Robert Olive - 10 1.0 0.3 0.1 0.0 0.0 0.0 0.2 0.2 0.0 -11 -1.2 -419.0 50.0 50.0 0 0.08 75.0 75.0
Joe Whitfill - 7 1.5 0.0 0.0 0.0 0.1 0.0 0.1 0.7 -0.7 -9 -1.5 -135.8 0.0 0.0 0 -0.12 0.0 0.0
Julian Martinez - 1 2.7 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 18 1.2 10.5 0 0 0 2.14 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