🐻⬇️🏀

Wingate

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Wingate
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 → 1048 (#129) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1081 (#113) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1037 (#148) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +8.0 (#124) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +6.7 (#215) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.463 (#191) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +15.5 More → 0.852 (#204) NetEff +15.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +5.6 More → 0.656 (#164) AdjNet +5.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +7.1 More → 0.696 (#151) AdjNet +7.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 81.5 | AdjD 75.6 More → 0.631 (#147) AdjO 81.5 | AdjD 75.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.6 | AdjD 71.5 More → 0.569 (#182) AdjO 74.6 | AdjD 71.5
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 → 0.642 (#199) 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 → 0.630 (#202) 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 22 More → 1106 (#110) RD 94 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Barton W 94 - 92
2025-11-15 vs Mount Olive W 99 - 90
2025-11-21 vs Lee L 81 - 83
2025-11-22 vs West Virginia St. W 85 - 70
2025-11-29 vs Belmont Abbey W 100 - 59
2025-12-03 @ UVA Wise L 73 - 82
2025-12-06 @ Tusculum W 85 - 74
2025-12-14 @ Lincoln Memorial L 62 - 97
2025-12-17 vs Lenoir-Rhyne L 75 - 89
2025-12-20 vs Carson-Newman W 79 - 70
2025-12-31 @ Francis Marion W 85 - 73
2026-01-03 @ Anderson (SC) L 60 - 73
2026-01-07 vs Catawba L 69 - 81
2026-01-10 vs Mars Hill L 64 - 70
2026-01-14 @ Newberry L 70 - 77
2026-01-17 @ Emory & Henry W 83 - 79
2026-01-21 vs Coker W 87 - 67
2026-01-23 vs UVA Wise L 70 - 81
2026-01-28 vs Anderson (SC) L 60 - 65
2026-01-30 vs Tusculum W 80 - 66
2026-02-04 @ Lenoir-Rhyne L 59 - 92
2026-02-07 vs Lincoln Memorial W 79 - 72
2026-02-11 @ Catawba L 56 - 72
2026-02-14 @ Carson-Newman L 75 - 86
2026-02-18 vs Newberry W 68 - 66
2026-02-21 vs Emory & Henry W 79 - 58
2026-02-25 @ Coker W 81 - 58
2026-02-28 @ Mars Hill W 72 - 70
2026-03-04 @ Anderson (SC) L 67 - 69

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%
Alex Godley - 28 26.0 12.2 3.6 1.6 0.7 0.2 1.1 9.4 7.9 54 24 2.2 3.6 47.3 36.3 77.9 0.7 57.6 53.6
Kendall Campbell - 28 26.0 12.0 4.8 0.8 0.7 1.5 2.0 7.5 10.3 90 24 3.8 6.4 55.5 34.5 78.3 3.57 64.2 57.9
Isaiah Vick - 25 30.5 11.6 6.9 1.6 1.0 0.7 1.7 8.2 11.9 82 24 3.4 4.7 52.9 40.4 72.1 2.35 61.5 58.5
Corbin Pack - 25 25.4 11.2 2.1 1.3 0.8 0.2 1.4 8.9 5.2 -14 22 -0.6 -1.1 45.9 43.0 93.3 -2.36 61.0 59.7
Jaden Lingo - 7 15.7 10.9 2.4 1.1 0.1 0.1 1.1 5.6 8.0 - - - - 59.0 60.0 85.7 3.33 84.1 82.1
Jordan Miller - 27 32.2 10.1 4.4 5.9 2.6 0.2 1.9 8.3 13.0 57 23 2.5 3.4 35.7 34.0 77.0 1.88 50.9 43.8
Riley Bergin - 1 24.7 9.0 4.0 0.0 0.0 0.0 0.0 6.0 7.0 - - - - 50.0 50.0 50.0 - 65.4 66.7
Derek Bradley - 28 19.0 6.4 2.2 1.6 0.6 0.0 1.1 5.4 4.3 -22 24 -0.9 -2.1 38.4 27.1 72.1 -1.97 50.3 44.7
Stephen Quinn - 24 11.6 4.4 1.0 0.9 0.6 0.0 0.5 4.0 2.5 57 21 2.7 9.5 36.8 38.6 80.0 2.69 54.5 53.7
Jayden Street - 25 10.3 2.8 2.1 0.5 0.2 0.1 0.4 2.6 2.7 -33 21 -1.6 -7.1 43.8 16.7 54.5 -2.83 47.5 45.3
Darius Carr - 19 8.4 2.4 1.7 0.4 0.3 0.1 0.6 1.5 2.7 -26 16 -1.6 -8.2 39.3 0.0 74.2 -2.8 54.0 39.3
Jacori Owens - 19 9.6 2.2 1.3 0.9 0.2 0.4 0.6 1.7 2.6 -33 18 -1.8 -8.1 46.9 0 60.0 -2.76 51.5 46.9
Nas Berry - 23 6.5 1.3 1.0 0.8 0.4 0.1 0.6 1.2 1.9 -12 21 -0.6 -3.5 32.1 18.2 57.9 -2.69 42.6 35.7
Gabe Tooper - 15 3.9 0.9 0.7 0.3 0.3 0.0 0.3 0.7 1.2 -8 11 -0.7 -9.0 50.0 0.0 75.0 -2.21 55.3 50.0

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