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Carson-Newman

Also known as: Carson-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 → 1193 (#33) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1180 (#49) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1065 (#112) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +12.5 (#69) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +9.5 (#219) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.874 (#198) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +14.6 More → 0.866 (#155) NetEff +14.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +20.6 More → 0.915 (#194) AdjNet +20.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +20.5 More → 0.918 (#196) AdjNet +20.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 77.3 | AdjD 62.5 More → 0.794 (#172) AdjO 77.3 | AdjD 62.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 76.9 | AdjD 68.5 More → 0.683 (#93) AdjO 76.9 | AdjD 68.5
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 → 0.695 (#181) 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 → 0.698 (#174) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 22 More → 1124 (#91) RD 99 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-15 vs Lander W 72 - 59
2025-11-16 vs USC Aiken L 54 - 62
2025-11-21 vs Clayton St. W 96 - 58
2025-11-22 @ North Georgia L 62 - 69
2025-11-25 vs North Georgia W 82 - 74
2025-11-29 vs Catawba W 79 - 75
2025-12-06 @ Coker L 56 - 64
2025-12-13 vs Anderson (SC) W 91 - 66
2025-12-17 vs UVA Wise W 84 - 58
2025-12-20 @ Wingate W 65 - 56
2025-12-31 @ Francis Marion W 58 - 54
2026-01-10 @ Lenoir-Rhyne L 92 - 103
2026-01-14 vs Lincoln Memorial W 76 - 58
2026-01-17 vs Newberry W 80 - 68
2026-01-21 @ Mars Hill W 87 - 63
2026-01-23 @ Catawba W 101 - 73
2026-01-28 vs Tusculum W 107 - 80
2026-01-30 vs Coker W 87 - 60
2026-02-04 @ UVA Wise L 70 - 83
2026-02-07 @ Anderson (SC) L 76 - 84

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%
Jennifer Sullivan - 20 29.6 18.0 2.4 3.2 1.1 0.3 2.6 15.0 7.4 121 5.5 22.3 43.0 39.5 86.3 -0.52 55.8 52.7
Emily Gonzalez - 20 29.1 12.8 4.5 3.5 2.1 0.3 1.8 9.3 12.2 151 6.9 28.7 45.2 33.3 78.6 2.58 55.6 47.8
Mattie Nuckolls - 20 27.2 12.8 5.3 1.9 1.1 2.0 2.0 9.8 11.3 159 7.2 34.8 49.0 27.3 88.7 3.97 58.6 53.6
Caroline Hill - 20 18.9 7.8 2.1 1.3 0.7 0.2 0.8 7.2 4.0 35 1.6 9.5 40.7 34.6 69.2 1.56 51.4 50.3
Keeleigh Rogers - 20 27.5 6.7 7.8 3.5 2.0 0.9 1.9 6.4 12.6 166 7.5 34.7 37.5 23.4 68.4 2.14 46.0 41.8
Chloe Heath - 18 19.9 6.4 5.4 0.9 0.3 1.3 0.8 5.8 7.8 47 2.4 22.5 41.9 30.2 68.2 -4.65 50.6 48.1
Karli Haworth - 19 11.7 5.1 1.2 0.9 0.6 0.1 0.6 4.8 2.4 31 1.5 11.8 34.1 33.9 69.6 -2.21 48.0 44.5
Cybil Penland - 20 12.3 3.0 2.9 0.6 0.5 0.2 0.9 3.2 2.9 58 2.6 20.9 38.5 28.6 62.5 2.09 43.1 41.5
Abigail Johnson - 16 9.2 2.4 2.1 0.4 0.2 0.1 0.7 1.9 2.7 -8 -0.4 -9.8 48.4 0.0 80.0 -0.83 53.7 48.4
Madelyn Ladd - 20 11.3 2.2 1.5 0.8 0.7 0.1 0.8 2.8 1.8 33 1.5 12.3 34.5 25.9 0 0.29 40.9 40.9
Harmony Sullivan - 11 5.0 2.2 0.8 0.5 0.0 0.0 0.6 1.7 1.1 13 1.0 21.3 52.6 22.2 100.0 -2.45 60.4 57.9
Kali McMahan - 12 4.3 1.7 0.7 0.3 0.0 0.1 0.0 0.9 1.8 19 1.4 34.5 63.6 66.7 100.0 1.18 78.4 72.7
Delaney Weddington - 11 4.3 1.5 0.8 0.2 0.2 0.4 0.1 1.3 1.6 3 0.2 5.7 50.0 25.0 50.0 0.29 53.8 53.6

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