🐻⬇️🏀

Northern Mich.

Season: 2026
Also known as: Northern Mich.
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 → 1042 (#261) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1004 (#411) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +31.2 (#65) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#42) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +55.6 More → 0.999 (#55) AdjNet +55.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +54.8 More → 0.999 (#54) AdjNet +54.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 88.6 | AdjD 50.7 More → 0.969 (#56) AdjO 88.6 | AdjD 50.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.4 | AdjD 59.0 More → 0.702 (#120) AdjO 68.4 | AdjD 59.0
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 → 0.924 (#53) 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 → 0.887 (#69) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-01 vs Concordia Wisconsin W 98 - 37

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%
Sarah Newcomer - 1 17.1 15.0 0.0 2.0 0.0 0.0 1.0 10.0 6.0 - - - 50.0 50.0 0 - 75.0 75.0
Alyssa Hill - 1 16.0 11.0 4.0 1.0 1.0 0.0 0.0 5.0 12.0 74 3.7 25.8 100.0 0 100.0 2.96 101.1 100.0
Addison Pytleski - 1 19.4 11.0 4.0 1.0 0.0 0.0 0.0 5.0 11.0 - - - 60.0 66.7 75.0 - 81.4 80.0
Jacy Weisbrod - 1 18.4 9.0 3.0 2.0 0.0 1.0 1.0 9.0 5.0 - - - 22.2 25.0 100.0 - 43.6 33.3
Sydney Whitehouse - 1 11.0 7.0 3.0 1.0 0.0 0.0 0.0 2.0 9.0 - - - 100.0 0 75.0 - 93.1 100.0
Madison Schroeder - 1 14.0 6.0 3.0 0.0 1.0 1.0 2.0 4.0 5.0 - - - 25.0 0 66.7 - 45.2 25.0
Isabella Slocum - 1 6.4 6.0 6.0 0.0 1.0 1.0 2.0 2.0 10.0 - - - 50.0 0 66.7 - 64.7 50.0
Jordyn Schmittdiel - 1 11.2 6.0 4.0 2.0 1.0 0.0 1.0 3.0 9.0 - - - 100.0 0 0.0 - 87.2 100.0
Addison Baumgart - 1 9.0 6.0 1.0 2.0 0.0 0.0 0.0 2.0 7.0 - - - 50.0 50.0 100.0 - 90.4 75.0
Ava Bates - 1 7.9 5.0 1.0 1.0 1.0 0.0 1.0 3.0 4.0 - - - 33.3 50.0 100.0 - 64.4 50.0
Haddie Showen - 1 15.4 5.0 0.0 1.0 2.0 0.0 1.0 3.0 4.0 - - - 66.7 50.0 0 - 83.3 83.3
Megan Marta - 1 8.8 4.0 0.0 0.0 1.0 0.0 0.0 2.0 3.0 - - - 50.0 0 100.0 - 69.4 50.0
Faith Walder - 1 15.6 4.0 1.0 3.0 0.0 0.0 0.0 2.0 6.0 - - - 50.0 0 40.0 - 47.6 50.0
CJ Romero - 1 17.4 3.0 2.0 6.0 0.0 0.0 1.0 1.0 9.0 - - - 100.0 100.0 0 - 150.0 150.0
Reide Osterman - 1 12.3 0.0 3.0 2.0 1.0 0.0 0.0 0.0 6.0 - - - 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