🐻⬇️🏀

Bethel (MN)

Season: 2026
Also known as: Bethel (MN)
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 → 942 (#361) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 986 (#373) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -20.7 (#530) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.006 (#668) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -17.6 More → 0.116 (#606) AdjNet -17.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -17.3 More → 0.114 (#609) AdjNet -17.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.5 | AdjD 88.4 More → 0.221 (#610) AdjO 74.5 | AdjD 88.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.1 | AdjD 78.9 More → 0.349 (#504) AdjO 72.1 | AdjD 78.9
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 → 0.192 (#536) 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 → 0.220 (#528) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 914 (#339) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-18 @ Wis.-Parkside L 61 - 95

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%
Nick Burke - 1 27.1 14.0 5.0 1.0 0.0 0.0 4.0 14.0 2.0 - - - 28.6 33.3 75.0 - 44.4 39.3
Sam Gingras - 1 26.3 8.0 2.0 2.0 0.0 1.0 1.0 6.0 6.0 - - - 50.0 0.0 100.0 - 58.1 50.0
Evan Murray - 1 10.7 8.0 1.0 0.0 0.0 0.0 2.0 4.0 3.0 - - - 50.0 50.0 100.0 - 82.0 75.0
JT Schradle - 1 17.3 7.0 1.0 2.0 0.0 0.0 2.0 7.0 1.0 - - - 42.9 50.0 0 - 50.0 50.0
AJ Kaul - 1 13.8 5.0 2.0 0.0 0.0 0.0 0.0 4.0 3.0 - - - 25.0 33.3 100.0 - 51.2 37.5
Caleb Rosendahl - 1 21.0 5.0 3.0 0.0 0.0 0.0 4.0 2.0 2.0 - - - 50.0 100.0 100.0 - 86.8 75.0
Dominic Zoa - 1 9.1 5.0 3.0 1.0 0.0 0.0 1.0 2.0 6.0 - - - 0.0 0 83.3 - 53.9 0.0
Adam Mattes - 1 24.0 4.0 3.0 0.0 2.0 0.0 2.0 6.0 1.0 4 0.2 9.3 33.3 0.0 0 0.21 33.3 33.3
Jack Rosendahl - 1 10.5 3.0 0.0 1.0 0.0 0.0 1.0 3.0 0.0 - - - 33.3 100.0 0.0 - 43.6 50.0
Jack Charbonneau - 1 17.1 2.0 4.0 1.0 0.0 0.0 0.0 1.0 6.0 - - - 0.0 0.0 50.0 - 36.2 0.0
Soren Leafblad - 1 4.1 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0
Evan Strand - 1 15.1 0.0 3.0 1.0 1.0 0.0 0.0 1.0 4.0 - - - 0.0 0 0 - 0.0 0.0
Micah Strand - 1 4.1 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