🐻⬇️🏀

Newman

Also known as: Newman
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 → 873 (#467) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 917 (#409) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 840 (#663) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -4.6 (#217) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +1.1 (#350) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.086 (#544) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +1.4 More → 0.546 (#264) NetEff +1.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -10.9 More → 0.222 (#508) AdjNet -10.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -10.1 More → 0.230 (#506) AdjNet -10.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.5 | AdjD 67.2 More → 0.352 (#508) AdjO 60.5 | AdjD 67.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.0 | AdjD 65.9 More → 0.435 (#489) AdjO 63.0 | AdjD 65.9
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 → 0.426 (#424) 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 → 0.417 (#433) 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 23 More → 860 (#421) RD 100 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Southern Ark. L 68 - 86
2025-11-15 vs Ark.-Monticello L 54 - 61
2025-11-18 vs Okla. Christian W 66 - 64
2025-11-21 vs William Jewell W 65 - 54
2025-11-22 vs Eastern N.M. L 54 - 89
2025-11-24 vs Cent. Christian (KS) W 94 - 43
2025-12-04 vs Northeastern St. L 49 - 74
2025-12-06 vs Ark.-Fort Smith W 77 - 60
2025-12-13 vs Kansas Christian W 98 - 42
2025-12-16 vs McPherson W 90 - 54
2026-01-01 vs Rogers St. L 53 - 62
2026-01-03 vs Central Okla. L 55 - 73
2026-01-10 @ Mo. Southern St. L 63 - 71
2026-01-14 vs Central Mo. L 54 - 64
2026-01-17 vs Washburn L 55 - 69
2026-01-22 @ Ark.-Fort Smith L 53 - 72
2026-01-23 @ Northeastern St. L 72 - 88
2026-01-28 @ Central Okla. L 51 - 67
2026-01-31 @ Rogers St. L 58 - 65
2026-02-05 vs Mo. Southern St. L 51 - 72
2026-02-07 vs Pittsburg St. L 76 - 81

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%
Jaeden McMillin - 17 26.7 14.9 6.5 0.6 1.2 0.5 1.2 13.7 8.8 -2 -0.1 -0.5 41.2 22.5 85.2 -2.15 48.7 43.1
Alexis Martin - 21 19.6 12.0 3.2 1.0 0.6 0.2 2.0 9.6 5.4 23 1.0 5.3 40.8 38.5 75.4 0.63 55.7 52.0
Paige Craft - 19 28.2 8.4 2.0 2.7 0.8 0.1 1.3 9.4 3.2 -102 -5.1 -20.2 36.3 25.0 81.2 -1.72 42.7 40.8
Carli Carlson - 21 18.5 6.2 3.5 1.7 0.8 0.0 1.2 7.1 3.8 -77 -3.5 -18.0 30.9 27.3 88.9 -1.59 42.5 40.9
Valeriya Lioukina - 21 18.1 5.3 4.7 1.4 0.3 0.5 1.5 5.4 5.3 -38 -1.7 -8.7 35.1 0.0 62.0 -2.07 40.8 35.1
Jolene Ramiro - 8 15.3 5.0 1.1 1.8 0.2 0.0 1.6 4.4 2.1 10 1.4 6.2 42.9 34.8 100.0 1.91 55.7 54.3
Monica Redondo - 21 24.2 4.7 3.0 1.7 1.0 0.2 1.3 4.9 4.4 -66 -3.0 -10.5 28.4 30.3 77.3 -1.19 43.9 39.7
Dani Williams - 20 13.2 3.9 1.9 0.9 0.7 0.1 1.0 4.0 2.5 9 0.4 3.2 34.6 32.1 72.2 -2.02 43.9 40.1
Delainey Wylie - 21 16.4 3.7 4.8 0.4 0.0 1.5 0.6 3.8 6.0 -59 -2.7 -17.1 32.9 30.2 66.7 0.04 45.6 43.0
Caitlynn Clark - 5 6.5 3.4 0.6 0.8 0.0 0.0 0.6 1.6 2.6 -4 -1.0 -6.4 75.0 60.0 100.0 -0.89 95.7 93.8
Charlize Williams - 17 10.4 3.1 2.7 0.6 0.4 0.2 0.4 3.3 3.3 28 1.6 16.1 39.3 28.6 42.9 -1.29 41.8 41.1
Shishawna Begay - 8 6.3 3.0 0.5 0.4 0.4 0.0 0.2 2.0 2.0 14 1.6 123.5 50.0 37.5 100.0 -0.1 65.9 59.4
Amaya Perez - 21 23.3 2.4 2.6 1.0 0.6 0.2 1.3 2.8 2.7 -95 -4.5 -17.9 33.9 20.0 63.6 -3.13 39.2 36.4
Kyndal Underwood - 7 7.8 2.0 1.1 0.7 0.3 0.0 0.1 2.4 1.6 11 1.4 84.1 35.3 50.0 12.5 -0.08 34.1 38.2
Mackenzie Burkhart - 2 6.0 0.0 0.5 0.0 0.0 0.0 0.0 1.5 -1.0 - - - 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