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Lewis

Also known as: Lewis
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 β†’ 1132 (#70) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β†’ 1067 (#149) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More β†’ 1107 (#67) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More β†’ +9.0 (#87) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More β†’ +12.4 (#181) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More β†’ 0.825 (#227) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +20.7 More β†’ 0.954 (#104) NetEff +20.7
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +10.4 More β†’ 0.796 (#187) NetEff +10.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +21.9 More β†’ 0.926 (#182) AdjNet +21.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +22.6 More β†’ 0.935 (#179) AdjNet +22.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.4 | AdjD 56.6 More β†’ 0.778 (#191) AdjO 70.4 | AdjD 56.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.9 | AdjD 56.9 More β†’ 0.731 (#64) AdjO 67.9 | AdjD 56.9
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 β†’ 0.760 (#138) 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 β†’ 0.766 (#124) 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 β†’ 1115 (#98) RD 97 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-04 @ Southern Ill. L 53 - 69
2025-11-14 vs Michigan Tech L 55 - 68
2025-11-15 vs Northern Mich. L 54 - 66
2025-11-20 vs Davenport W 48 - 42
2025-11-23 @ Northwood L 70 - 88
2025-11-25 vs Wis.-Parkside L 50 - 55
2025-12-01 vs UIndy W 63 - 48
2025-12-04 vs Mo.-St. Louis L 62 - 64
2025-12-06 vs Lincoln (MO) L 65 - 67
2025-12-15 vs Concordia Chicago W 94 - 32
2025-12-17 vs Central St. (OH) W 74 - 44
2025-12-20 @ Roosevelt W 59 - 51
2026-01-02 @ McKendree W 80 - 72
2026-01-10 @ Upper Iowa W 65 - 53
2026-01-15 vs Truman St. W 53 - 38
2026-01-17 vs William Jewell W 73 - 55
2026-01-22 @ Rockhurst W 93 - 44
2026-01-24 @ Southwest Baptist W 70 - 59
2026-01-29 vs Drury L 65 - 75
2026-01-31 vs Missouri S&T W 74 - 67
2026-02-05 @ Lincoln (MO) W 62 - 56
2026-02-07 @ Mo.-St. Louis L 63 - 74

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%
Mallory Ramage - 22 32.5 14.3 3.7 1.5 0.7 0.1 1.2 12.0 7.1 138 6.6 25.3 44.5 31.9 72.5 1.61 53.3 50.0
Yahaira Bueno - 22 34.2 12.1 3.2 3.9 1.5 0.1 2.9 10.5 7.4 138 6.3 24.5 38.8 35.7 76.7 0.36 50.4 45.3
Ally Cesarini - 22 34.6 10.9 5.1 2.4 3.4 0.5 1.7 9.8 10.8 142 6.5 24.0 47.0 28.0 53.4 0.0 49.9 48.6
Kree Nunnally - 16 24.5 7.7 5.6 0.9 0.5 0.1 1.4 6.8 6.7 26 1.5 7.2 41.7 11.1 86.5 -2.82 49.5 42.1
Jasmine Jones - 22 20.7 7.3 5.4 1.1 1.0 1.5 1.8 6.0 8.4 68 3.1 19.9 43.6 27.5 67.3 2.94 51.8 47.7
Mercy Lasu - 22 14.1 5.6 3.8 0.9 0.5 0.1 1.4 4.2 5.1 38 1.7 17.1 54.8 26.7 56.7 2.11 57.9 57.0
Samantha Campanelli - 8 9.6 4.4 0.5 0.2 0.6 0.0 0.5 3.4 1.9 -17 -1.9 -19.5 40.7 38.9 85.7 -3.1 58.2 53.7
Gabi Hoover - 18 24.0 3.9 4.4 0.8 0.7 0.9 1.3 3.5 5.9 57 3.2 23.2 39.7 30.2 80.0 1.6 52.7 50.0
Tenè Smith - 11 9.6 3.0 0.4 0.5 0.1 0.0 0.9 2.6 0.5 20 1.7 15.9 37.9 36.8 100.0 -0.64 53.6 50.0
Justina Hernandez - 17 10.9 2.2 1.2 0.8 0.7 0.2 0.9 2.5 1.8 56 3.7 83.4 38.1 25.0 57.1 -0.12 41.0 39.3
Danica Gosz - 4 5.5 1.8 0.5 0.2 0.0 0.0 0.0 1.2 1.2 0 0.0 0.0 60.0 33.3 0 0.05 70.0 70.0
Alayna Soukup - 13 8.5 1.7 0.9 0.8 0.3 0.0 0.7 1.8 1.3 48 4.0 76.7 34.8 27.3 60.0 0.7 43.7 41.3
Layla Willams - 5 5.2 1.6 1.0 0.2 0.2 0.2 0.6 1.8 0.8 -4 -0.8 -22.0 44.4 0 0 -0.53 44.4 44.4
Sarah Helm - 6 7.4 0.5 1.0 0.0 0.5 0.0 0.3 2.0 -0.3 19 3.2 81.4 8.3 12.5 0 0.44 12.5 12.5
Leah Palmer - 4 4.4 0.5 1.2 0.2 0.0 0.0 0.2 0.8 1.0 0 0.0 0.0 0.0 0.0 100.0 -0.88 25.8 0.0
Yahri Smith - 1 0.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -6 -6.0 -48.0 0 0 0 -0.24 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