🐻⬇️🏀

ETSU

Season: 2026 2025 2024 2023 2022 2021 2020 2018 2017 2015
Also known as: ETSU
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1088 (#116) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 981 (#395) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +19.2 (#65) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.994 (#47) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +40.6 More → 0.991 (#17) AdjNet +40.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +40.5 More → 0.992 (#18) AdjNet +40.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 84.9 | AdjD 55.9 More → 0.934 (#25) AdjO 84.9 | AdjD 55.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 78.5 | AdjD 71.0 More → 0.663 (#93) AdjO 78.5 | AdjD 71.0
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 → 0.843 (#36) 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 → 0.805 (#55) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 330 | GP 2 More → 1143 (#81) RD 330 | GP 2

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-04 vs Converse W 102 - 50
2025-12-07 vs Tusculum W 78 - 62

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%
Jordan McCullum - 2 20.4 15.0 5.5 0.5 0.0 1.0 0.5 10.5 11.0 - - - 57.1 25.0 55.6 - 60.1 59.5
Brayden Crump - 2 20.4 13.5 4.5 0.5 0.0 0.5 0.0 9.5 9.5 - - - 57.9 33.3 75.0 - 65.0 63.2
Brian Taylor - 2 20.9 12.0 3.5 3.0 1.5 0.5 2.5 7.5 10.5 -3 -0.1 -1.5 66.7 33.3 75.0 -1.18 71.6 70.0
Milton Matthews - 2 15.4 11.5 2.5 0.5 2.5 0.5 0.0 7.5 10.0 - - - 60.0 45.5 0 - 76.7 76.7
Blake Barkley - 1 10.5 11.0 3.0 1.0 1.0 0.0 0.0 6.0 10.0 - - - 66.7 0.0 75.0 - 70.9 66.7
Jaylen Smith - 2 22.0 8.0 5.0 2.0 2.0 0.0 2.5 7.5 7.0 98 4.9 25.3 40.0 28.6 100.0 4.05 50.4 46.7
Isaiah Sutherland - 2 19.2 6.5 4.5 0.5 1.0 0.0 0.5 6.0 6.0 -18 -1.5 -57.1 41.7 22.2 50.0 -1.23 50.5 50.0
Cam Morris III - 1 13.9 6.0 5.0 1.0 0.0 0.0 0.0 7.0 5.0 31 1.4 10.0 28.6 0.0 100.0 1.34 38.1 28.6
Gabe Sisk - 2 16.6 6.0 5.0 1.0 1.0 0.0 2.0 5.0 6.0 - - - 50.0 50.0 100.0 - 57.5 55.0
Maki Johnson - 2 25.4 4.0 3.5 3.5 1.5 0.0 1.5 6.0 5.0 184 8.4 48.9 25.0 22.2 0 2.19 33.3 33.3
Allen Strothers - 2 19.1 3.0 3.0 5.0 1.0 0.0 1.0 2.0 9.0 - - - 75.0 0.0 0 - 75.0 75.0
Henry Sisemore - 2 5.5 2.0 3.0 0.0 0.0 0.5 0.0 2.0 3.5 - - - 50.0 0 0.0 - 41.0 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