🐻⬇️🏀

Northern Mich.

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
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
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 1191 (#34) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1303 (#11) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1144 (#43) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +23.6 (#10) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +20.0 (#88) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.838 (#219) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +19.9 More → 0.921 (#125) NetEff +19.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +31.7 More → 0.975 (#111) AdjNet +31.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +32.2 More → 0.978 (#111) AdjNet +32.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 73.5 | AdjD 52.8 More → 0.868 (#114) AdjO 73.5 | AdjD 52.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.3 | AdjD 58.2 More → 0.798 (#30) AdjO 73.3 | AdjD 58.2
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 → 0.893 (#34) 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 → 0.883 (#32) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 109 | GP 25 More → 1270 (#24) RD 109 | GP 25

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-01 vs Concordia Wisconsin W 98 - 37
2025-11-07 vs California (PA) W 66 - 57
2025-11-08 @ Gannon W 60 - 58
2025-11-09 @ Edinboro W 65 - 50
2025-11-14 vs Upper Iowa W 95 - 40
2025-11-15 @ Lewis W 66 - 54
2025-11-20 vs St. Cloud St. W 77 - 69
2025-11-21 vs Minn. Duluth L 70 - 85
2025-11-29 @ Minn.-Crookston W 89 - 57
2025-11-30 @ Minn.-Crookston W 78 - 63
2025-12-04 @ Wis.-Parkside W 56 - 48
2025-12-06 @ Roosevelt W 83 - 82
2025-12-17 vs Northwood W 83 - 77
2026-01-02 vs Davenport W 73 - 46
2026-01-03 vs Grand Valley St. L 66 - 78
2026-01-12 vs Ferris St. L 52 - 70
2026-01-15 @ Lake Superior St. W 80 - 61
2026-01-17 @ Saginaw Valley W 67 - 51
2026-01-22 vs Purdue Northwest W 94 - 54
2026-01-24 vs Wayne St. (MI) W 91 - 71
2026-01-29 @ Grand Valley St. L 47 - 70
2026-01-31 @ Davenport W 95 - 62
2026-02-05 vs Saginaw Valley W 80 - 69
2026-02-07 vs Lake Superior St. W 76 - 49

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%
Jacy Weisbrod - 24 29.7 17.3 4.3 1.4 1.1 0.5 1.1 14.1 9.4 166 6.9 24.2 44.1 41.7 83.8 3.97 58.6 56.8
Sarah Newcomer - 24 28.3 11.2 3.2 2.2 0.9 0.5 1.0 9.9 7.1 140 5.8 21.7 40.5 37.9 85.7 1.92 54.4 52.7
Sydney Whitehouse - 24 17.8 8.8 3.9 0.9 0.7 0.2 1.5 8.1 5.0 121 5.0 27.9 42.8 34.5 66.0 3.25 48.5 45.4
Alyssa Hill - 24 19.8 8.3 7.2 1.3 0.5 0.3 0.9 6.0 10.7 115 4.8 24.2 60.1 0 77.1 1.4 62.8 60.1
Addison Pytleski - 24 22.6 8.0 2.9 1.0 0.4 0.2 1.1 6.7 4.8 70 2.9 14.4 36.9 43.5 78.9 -0.5 52.1 46.2
Faith Walder - 24 15.3 6.1 1.0 1.2 0.6 0.1 1.1 5.0 2.9 82 3.4 28.1 50.4 31.2 74.1 2.06 55.3 52.5
Madison Schroeder - 19 11.2 4.7 3.1 0.3 0.5 0.3 0.6 4.0 4.2 41 2.2 22.8 46.1 0.0 76.9 2.14 51.5 46.1
CJ Romero - 24 23.8 4.1 2.2 4.3 1.0 0.0 2.0 3.8 5.9 111 4.6 20.7 32.2 36.0 65.7 1.15 47.0 42.2
Haddie Showen - 7 11.0 4.0 0.6 0.6 0.6 0.0 0.6 3.3 1.9 47 7.8 52.2 43.5 33.3 100.0 1.76 55.6 50.0
Jordyn Schmittdiel - 24 12.8 3.7 5.2 0.7 0.9 0.3 1.0 2.8 7.0 72 3.0 22.4 48.5 16.7 65.6 1.67 53.6 49.3
Ava Bates - 4 5.0 3.0 1.2 0.5 0.2 0.0 0.5 1.8 2.8 1 0.2 6.2 42.9 40.0 100.0 -0.59 68.5 57.1
Addison Baumgart - 5 6.2 1.8 1.0 0.4 0.4 0.2 0.6 1.8 1.4 15 3.0 43.2 22.2 16.7 80.0 0.62 40.2 27.8
Reide Osterman - 24 14.1 1.2 2.3 0.7 0.7 0.1 0.5 1.9 2.5 81 3.4 35.1 20.0 23.1 87.5 0.84 28.9 23.3
Isabella Slocum - 8 3.0 1.2 2.4 0.2 0.2 0.1 0.5 0.6 3.1 0 0.0 0.0 20.0 0 80.0 -0.98 53.2 20.0
Megan Marta - 9 3.7 1.1 0.4 0.0 0.2 0.0 0.3 1.1 0.3 10 1.1 19.2 30.0 0.0 100.0 0.76 42.5 30.0
Elsa Bachert - 1 1.8 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0.0 -0.8 0.0 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