🐻⬇️🏀

Newberry

Also known as: Newberry
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 → 917 (#439) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 999 (#287) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 900 (#614) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -5.9 (#223) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -11.5 (#529) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.105 (#533) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +48.3 More → 1.000 (#39) NetEff +48.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -5.5 More → 0.320 (#328) NetEff -5.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -13.3 More → 0.178 (#535) AdjNet -13.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -13.1 More → 0.174 (#538) AdjNet -13.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 57.6 | AdjD 66.0 More → 0.319 (#534) AdjO 57.6 | AdjD 66.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 53.4 | AdjD 64.3 More → 0.271 (#627) AdjO 53.4 | AdjD 64.3
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 → 0.255 (#558) 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 (#565) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 94 | GP 24 More → 925 (#332) RD 94 | GP 24

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Winthrop L 37 - 74
2025-11-14 vs Barton W 59 - 51
2025-11-15 @ North Greenville W 73 - 63
2025-11-18 vs Lander W 60 - 59
2025-11-21 vs Toccoa Falls W 85 - 43
2025-11-24 @ Erskine W 68 - 57
2025-11-29 vs Livingstone W 65 - 61
2025-12-03 @ Mars Hill L 65 - 70
2025-12-06 vs UVA Wise L 32 - 45
2025-12-13 @ Emory & Henry W 79 - 66
2025-12-17 vs Anderson (SC) W 62 - 49
2025-12-30 @ N.C. A&T L 49 - 99
2026-01-03 vs Tusculum W 75 - 71
2026-01-10 vs Lincoln Memorial L 50 - 65
2026-01-14 vs Wingate L 57 - 59
2026-01-17 @ Carson-Newman L 68 - 80
2026-01-21 @ Catawba W 68 - 59
2026-01-23 vs Mars Hill W 73 - 47
2026-01-28 vs Coker L 51 - 65
2026-01-30 @ UVA Wise L 43 - 74
2026-02-04 @ Anderson (SC) L 52 - 79
2026-02-07 vs Emory & Henry W 69 - 64

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%
Rickell Brown - 22 30.0 14.6 4.0 1.9 2.0 0.6 3.1 14.5 5.4 47 2.0 7.3 35.0 25.4 78.1 1.94 44.0 37.5
Marykate Kent - 22 31.9 10.3 2.4 0.9 0.6 0.2 1.7 9.0 3.8 38 1.6 6.7 34.0 36.2 79.1 -0.21 52.6 49.0
Leigha Harris - 18 23.7 10.3 5.3 1.7 1.6 0.5 1.8 7.8 9.8 48 2.5 14.4 53.6 40.9 67.5 1.42 59.0 56.8
Jada Brown - 22 26.6 8.8 7.8 1.0 0.8 0.1 2.1 7.6 8.8 61 2.9 12.3 41.3 11.1 70.1 -0.48 48.0 41.6
Hannah Nimmo - 21 23.6 5.2 3.1 1.3 2.1 0.3 1.9 5.5 4.7 38 1.6 9.1 30.2 33.8 56.5 2.39 43.6 41.8
Reghan Williams - 21 21.3 4.8 2.3 1.8 0.7 0.2 1.5 6.0 2.4 -55 -2.6 -11.1 28.0 17.6 51.9 -1.71 33.8 29.2
Ryann Hernandez - 20 13.6 2.9 2.1 0.5 0.7 0.2 0.9 2.7 2.8 -8 -0.4 -3.3 44.4 25.0 72.7 -1.59 49.3 46.3
Daria Clet - 21 13.2 2.3 2.4 0.8 0.3 0.1 1.2 2.3 2.2 19 0.8 8.2 38.8 0 37.0 -3.07 39.4 38.8
Nyah Vermeulen - 11 8.8 2.1 3.2 0.3 0.2 0.2 0.5 2.1 3.3 -10 -0.9 -7.6 34.8 0 87.5 -0.94 43.4 34.8
Destiny Mattison - 19 13.9 2.1 3.8 0.4 0.4 0.2 1.0 2.6 3.3 5 0.2 2.3 30.0 0 64.3 0.6 34.7 30.0
Shemaiyah Earle - 9 5.3 1.7 0.8 0.2 0.1 0.0 0.6 1.6 0.7 -4 -0.4 -32.0 35.7 0.0 83.3 -1.71 45.1 35.7
Ayonna Lewis - 8 4.3 1.5 0.4 0.0 0.1 0.0 0.1 1.2 0.6 -14 -3.5 -23.9 50.0 0 40.0 -0.97 49.2 50.0
Audrey Gorman - 5 3.3 0.6 0.6 0.4 0.2 0.0 0.2 1.2 0.4 -4 -1.3 -20.2 16.7 25.0 0 -0.51 25.0 25.0
LeNaja Davis - 3 2.3 0.3 0.3 0.0 0.0 0.0 0.7 1.7 -1.7 0 0.0 0.0 0.0 0 50.0 0.03 8.5 0.0
Riley Martin - 10 4.6 0.2 0.6 0.0 0.1 0.0 0.7 1.1 -0.9 -17 -2.1 -72.7 9.1 0.0 0 -2.73 9.1 9.1
Shiya Clayton - 6 2.8 0.2 0.0 0.0 0.0 0.0 0.0 0.7 -0.5 -15 -3.0 -115.8 0.0 0.0 50.0 -1.8 10.2 0.0
Antoinet Cheeseboro - 8 2.8 0.0 0.1 0.0 0.2 0.0 0.2 0.1 0.0 -19 -2.7 -63.5 0.0 0 0 -2.32 0.0 0.0
Jasmyne Lloyd - 1 3.5 0.0 1.0 0.0 0.0 0.0 0.0 2.0 -1.0 - - - 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