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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†’ 1124 (#82) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β†’ 1081 (#124) -
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 +2.9 More β†’ +9.2 (#126) HCA +2.9
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 (#123) 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†’ 1120 (#94) RD 97 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-04 @ Southern Ill. - Incomplete score
2025-11-14 vs Michigan Tech - Incomplete score
2025-11-15 vs Northern Mich. - Incomplete score
2025-11-20 vs Davenport - Incomplete score
2025-11-23 @ Northwood - Incomplete score
2025-11-25 vs Wis.-Parkside - Incomplete score
2025-12-01 vs UIndy - Incomplete score
2025-12-04 vs Mo.-St. Louis - Incomplete score
2025-12-06 vs Lincoln (MO) - Incomplete score
2025-12-15 vs Concordia Chicago - Incomplete score
2025-12-17 vs Central St. (OH) - Incomplete score
2025-12-20 @ Roosevelt - Incomplete score
2026-01-02 @ McKendree - Incomplete score
2026-01-10 @ Upper Iowa - Incomplete score
2026-01-15 vs Truman St. - Incomplete score
2026-01-17 vs William Jewell - Incomplete score
2026-01-22 @ Rockhurst - Incomplete score
2026-01-24 @ Southwest Baptist - Incomplete score
2026-01-29 vs Drury - Incomplete score
2026-01-31 vs Missouri S&T - Incomplete score
2026-02-05 @ Lincoln (MO) - Incomplete score
2026-02-07 @ Mo.-St. Louis - 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%
Mallory Ramage - 21 32.3 14.2 3.7 1.5 0.8 0.1 1.1 11.8 7.3 138 6.6 25.3 44.8 32.2 72.7 1.41 53.8 50.4
Yahaira Bueno - 21 34.3 12.1 3.1 4.0 1.5 0.1 2.8 10.6 7.5 138 6.3 24.5 39.0 36.1 77.3 1.92 50.6 45.7
Ally Cesarini - 21 34.5 10.9 5.1 2.4 3.5 0.5 1.6 9.7 11.2 142 6.5 24.0 47.3 28.0 55.6 0.48 50.5 49.0
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 -3.29 49.5 42.1
Jasmine Jones - 21 20.2 7.0 5.0 1.1 0.9 1.5 1.9 5.9 7.9 68 3.1 19.9 43.5 28.6 69.8 3.09 51.8 47.6
Mercy Lasu - 21 14.6 5.9 3.9 0.9 0.5 0.1 1.5 4.4 5.3 38 1.7 17.1 54.8 26.7 56.7 3.78 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 -1.75 58.2 53.7
Gabi Hoover - 17 24.0 4.2 4.4 0.8 0.7 0.9 1.4 3.4 6.2 57 3.2 23.2 43.1 32.5 80.0 1.92 56.9 54.3
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 -1.38 53.6 50.0
Justina Hernandez - 16 10.6 2.3 1.2 0.8 0.7 0.2 0.7 2.4 2.2 56 3.7 83.4 42.1 25.0 57.1 -0.13 45.0 43.4
Alayna Soukup - 12 8.7 1.8 1.0 0.8 0.2 0.0 0.8 1.8 1.4 48 4.0 76.7 38.1 33.3 60.0 1.96 47.4 45.2
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 - 70.0 70.0
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 -0.87 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 1.82 12.5 12.5
Leah Palmer - 3 3.1 0.0 0.0 0.3 0.0 0.0 0.0 0.3 0.0 0 0.0 0.0 0.0 0 0 - 0.0 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 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