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Newberry

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
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 → 902 (#380) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1016 (#236) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 968 (#439) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +1.8 (#208) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +4.4 (#255) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.322 (#431) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +21.8 More → 0.895 (#195) NetEff +21.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +3.8 More → 0.607 (#356) AdjNet +3.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +3.8 More → 0.608 (#362) AdjNet +3.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.7 | AdjD 72.2 More → 0.579 (#348) AdjO 75.7 | AdjD 72.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.6 | AdjD 74.4 More → 0.529 (#252) AdjO 75.6 | AdjD 74.4
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 → 0.540 (#290) 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 → 0.537 (#287) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 22 More → 1031 (#197) RD 101 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Emmanuel (GA) W 100 - 98
2025-11-15 vs Erskine W 97 - 84
2025-11-19 vs Belmont Abbey W 66 - 59
2025-11-22 vs USC Aiken L 69 - 94
2025-11-25 vs Tusculum W 93 - 61
2025-12-03 @ Mars Hill L 66 - 84
2025-12-06 vs UVA Wise L 85 - 91
2025-12-10 @ Coker W 67 - 54
2025-12-13 @ Emory & Henry L 74 - 80
2025-12-17 vs Anderson (SC) L 63 - 87
2025-12-19 vs Flagler L 60 - 63
2025-12-20 @ Embry-Riddle (FL) W 94 - 89
2026-01-07 @ Lenoir-Rhyne L 69 - 95
2026-01-10 vs Lincoln Memorial W 82 - 72
2026-01-14 vs Wingate W 77 - 70
2026-01-17 @ Carson-Newman L 72 - 79
2026-01-21 @ Catawba L 79 - 82
2026-01-23 vs Mars Hill W 89 - 70
2026-01-28 vs Coker W 84 - 75
2026-01-30 @ UVA Wise L 61 - 79
2026-02-04 @ Anderson (SC) L 58 - 73
2026-02-07 vs Emory & Henry L 72 - 85

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%
Drake Downs - 22 30.5 19.6 8.2 1.8 0.7 0.5 2.8 13.4 14.6 -105 -4.4 -21.3 56.9 45.7 77.7 1.34 63.5 59.7
Drew Robinson - 19 33.7 13.6 3.3 2.3 1.2 0.2 1.9 10.6 8.0 85 4.2 69.8 43.3 38.5 78.6 3.48 57.2 53.2
Malakhi Stremlow - 20 29.6 11.2 7.0 2.4 0.9 0.4 2.2 8.1 11.5 -110 -5.0 -22.8 46.9 23.8 74.7 -2.15 57.2 51.5
Kayzzin McDowell - 22 26.8 9.5 2.7 1.5 1.4 0.2 1.4 8.0 6.0 -35 -1.6 -6.7 42.6 34.8 75.0 1.89 55.8 53.7
Makhi Rivers - 22 27.4 9.1 2.7 3.2 1.2 0.0 2.3 5.5 8.5 -15 -0.7 -3.5 45.5 31.2 71.1 1.91 58.7 49.6
Houston Jones - 22 19.9 5.8 1.1 0.5 0.3 0.0 0.6 4.9 2.3 -68 -3.1 -22.8 33.6 32.6 89.7 3.31 53.4 47.7
Matty Foor - 8 9.3 5.5 1.1 0.4 0.8 0.1 1.5 3.5 2.9 0 0.0 0.0 50.0 44.4 92.3 -0.62 65.2 57.1
Anthony Demirov - 3 12.8 3.7 1.3 0.7 0.0 0.7 1.3 4.7 0.3 -18 -6.0 -19.8 21.4 12.5 100.0 -2.07 34.9 25.0
Brett Dent - 21 13.6 2.2 3.0 0.1 0.3 0.0 0.9 1.2 3.7 -15 -1.0 -33.0 40.0 0 61.4 0.03 53.0 40.0
Shane Hawkins - 19 8.9 1.7 1.4 0.2 0.1 0.0 0.4 1.2 1.8 -47 -2.5 -22.5 43.5 15.4 91.7 -2.21 58.3 47.8
AJ Thompson - 12 12.1 1.7 1.2 1.4 0.2 0.0 1.1 2.4 0.9 0 0.0 0.0 27.6 21.4 25.0 -1.04 32.5 32.8
Reggie Abram - 11 6.1 1.5 0.5 0.4 0.3 0.0 0.5 1.6 0.5 -8 -0.7 -29.4 33.3 30.8 0 -1.75 44.4 44.4
Gyterson Louissaint - 14 7.3 1.4 1.6 0.6 0.1 0.1 0.5 1.5 1.9 -24 -1.7 -38.7 33.3 0 45.5 -1.11 36.8 33.3
Davionta Moses - 11 3.4 1.2 0.8 0.0 0.2 0.0 0.3 1.1 0.8 -3 -0.3 -22.2 33.3 30.0 100.0 -1.15 50.5 45.8
Desmond Ware - 4 3.2 1.2 0.5 0.5 0.2 0.0 0.8 1.8 0.0 - - - 28.6 50.0 0 -1.31 35.7 35.7
Joshua Goodman - 4 2.9 0.8 0.0 0.0 0.0 0.0 0.0 0.5 0.2 - - - 0.0 0.0 75.0 - 39.9 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