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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 โ†’ 1155 (#69) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1172 (#59) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 1038 (#147) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ +12.2 (#68) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More โ†’ +9.1 (#170) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.623 (#114) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +17.7 More โ†’ 0.865 (#202) NetEff +17.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +9.8 More โ†’ 0.755 (#123) AdjNet +9.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +11.4 More โ†’ 0.790 (#109) AdjNet +11.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 86.6 | AdjD 77.3 More โ†’ 0.700 (#102) AdjO 86.6 | AdjD 77.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.5 | AdjD 68.7 More โ†’ 0.628 (#118) AdjO 74.5 | AdjD 68.7
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 โ†’ 0.691 (#146) 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 โ†’ 0.680 (#148) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 96 | GP 22 More โ†’ 1128 (#93) RD 96 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-15 vs King (TN) W 108 - 71
2025-11-16 vs Lees-McRae W 98 - 79
2025-11-22 @ Lander W 74 - 61
2025-11-26 @ North Georgia L 75 - 78
2025-11-29 vs Augusta W 66 - 58
2025-12-06 @ Coker W 78 - 72
2025-12-10 @ Tusculum W 100 - 73
2025-12-13 vs Anderson (SC) L 80 - 94
2025-12-17 vs UVA Wise W 67 - 65
2025-12-20 @ Wingate L 70 - 79
2025-12-31 vs Tenn. Wesleyan W 92 - 72
2026-01-03 vs Catawba L 66 - 80
2026-01-07 @ Emory & Henry L 73 - 83
2026-01-10 @ Lenoir-Rhyne L 71 - 95
2026-01-14 vs Lincoln Memorial L 58 - 70
2026-01-17 vs Newberry W 79 - 72
2026-01-21 @ Mars Hill W 87 - 81
2026-01-23 @ Catawba L 56 - 71
2026-01-28 vs Tusculum - Incomplete score
2026-01-30 vs Coker - Incomplete score
2026-02-04 @ UVA Wise W 85 - 70
2026-02-07 @ Anderson (SC) L 52 - 60
2026-02-11 @ Lincoln Memorial W 74 - 65
2026-02-14 vs Wingate W 86 - 75
2026-02-18 vs Emory & Henry W 92 - 69
2026-02-21 @ Newberry W 65 - 55
2026-02-25 vs Mars Hill W 80 - 65
2026-02-28 vs Lenoir-Rhyne L 81 - 87
2026-03-05 @ Lincoln Memorial L 67 - 68

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Jack Browder - 29 38.7 25.0 9.6 2.7 1.2 0.9 2.4 16.6 20.4 - - - - 43.8 36.0 88.9 - 60.3 50.2
Matt Bilbrey - 29 34.0 14.6 2.3 3.8 0.9 0.1 2.6 11.8 7.3 - - - - 44.6 41.0 76.2 - 56.9 54.5
Rylan Houck - 29 33.8 9.9 5.8 2.0 0.9 0.2 1.9 7.2 9.8 - - - - 51.2 40.8 75.0 - 61.2 58.1
Braden Ilic - 28 30.3 9.1 5.5 3.0 0.8 1.2 1.9 8.2 9.5 - - - - 41.9 30.6 76.5 - 52.3 50.0
Keliese Frye - 29 27.0 8.6 5.2 1.4 1.8 0.7 1.4 5.6 10.7 - - - - 60.9 0.0 70.3 - 64.1 60.9
Oli Smith - 9 17.5 6.8 3.6 1.1 0.8 0.7 1.2 4.6 7.1 - - - - 39.0 28.6 72.4 - 56.7 48.8
Colin Brown - 27 12.3 3.8 1.1 0.9 0.4 0.0 0.9 3.1 2.1 - - - - 44.7 15.0 54.5 - 49.3 46.5
Caiden Botts - 15 9.7 2.9 1.6 0.5 0.1 0.2 0.4 2.7 2.2 - - - - 32.5 21.7 75.0 - 45.7 38.8
Aivaras Uosis - 20 12.0 2.1 2.6 0.2 0.2 0.1 0.8 1.6 3.0 - - - - 48.5 26.3 60.0 - 57.5 56.1
David Gorianskii - 8 4.5 1.4 1.0 0.2 0.0 0.6 0.0 0.8 2.5 - - - - 83.3 0 33.3 - 75.1 83.3
Isaac Stamper - 21 7.8 1.0 1.4 0.5 0.0 0.1 0.8 1.7 0.6 - - - - 19.4 16.7 80.0 - 28.8 25.0
Gaas Herman - 5 3.8 0.8 0.6 0.0 0.2 0.0 0.2 0.4 1.0 - - - - 50.0 0.0 66.7 - 60.2 50.0
Shamir Caruthers - 7 3.7 0.6 0.1 0.3 0.7 0.0 0.4 0.9 0.4 - - - - 33.3 0.0 0 - 33.3 33.3
Sean Lindsay - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Troy Boswell - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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