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Minn. Duluth

Also known as: Minn. Duluth
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 → 1243 (#18) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1290 (#13) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1043 (#162) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +26.2 (#7) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +14.7 (#150) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.661 (#300) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +18.5 More → 0.909 (#131) NetEff +18.5
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -70.1 More → 0.000 (#516) NetEff -70.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +23.8 More → 0.940 (#165) AdjNet +23.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +24.3 More → 0.947 (#165) AdjNet +24.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.9 | AdjD 57.2 More → 0.805 (#164) AdjO 72.9 | AdjD 57.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.4 | AdjD 61.1 More → 0.679 (#97) AdjO 69.4 | AdjD 61.1
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 → 0.787 (#111) 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 → 0.773 (#114) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 81 | GP 40 More → 1073 (#173) RD 81 | GP 40

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs Wis.-Superior W 87 - 36
2025-11-08 vs Bethel (MN) W 61 - 48
2025-11-14 vs Northwestern Okla. L 57 - 67
2025-11-14 @ Neb.-Kearney L 62 - 73
2025-11-15 vs Pittsburg St. L 78 - 82
2025-11-15 vs Southeastern Okla. W 81 - 63
2025-11-19 vs Black Hills St. W 75 - 68
2025-11-20 @ Michigan Tech L 69 - 79
2025-11-21 @ Northern Mich. W 85 - 70
2025-11-25 vs Bemidji St. W 74 - 63
2025-11-25 @ MSU Moorhead L 58 - 74
2025-11-29 vs Northern Mich. L 57 - 89
2025-11-30 vs Northern Mich. L 63 - 78
2025-12-03 vs Minn.-Crookston W 76 - 54
2025-12-06 vs Bemidji St. L 76 - 86
2025-12-06 @ MSU Moorhead W 73 - 69
2025-12-11 @ Mary L 68 - 84
2025-12-11 @ Northern St. W 69 - 63
2025-12-13 @ Minot St. L 53 - 84
2025-12-13 @ Jamestown W 82 - 36
2025-12-17 vs Jamestown W 99 - 70
2025-12-20 vs Mary W 80 - 65
2025-12-20 vs Northern St. W 65 - 58
2026-01-03 vs MSU Moorhead L 48 - 63
2026-01-03 @ Bemidji St. W 78 - 50
2026-01-04 vs South Dakota Mines L 79 - 80
2026-01-09 @ Winona St. L 66 - 86
2026-01-10 @ Concordia-St. Paul L 74 - 94
2026-01-10 vs Southwest Minn. St. W 69 - 65
2026-01-16 @ Minnesota St. L 78 - 81
2026-01-17 @ St. Cloud St. W 74 - 71
2026-01-17 vs Augustana (SD) W 93 - 70
2026-01-23 vs Winona St. W 59 - 55
2026-01-24 vs Concordia-St. Paul L 63 - 71
2026-01-30 @ Wayne St. (NE) W 83 - 56
2026-01-31 @ Augustana (SD) L 56 - 57
2026-02-05 @ Mary L 66 - 76
2026-02-07 @ Minot St. W 74 - 71

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%
Myleigh Weers - 1 29.0 21.0 5.0 1.0 2.0 0.0 3.0 19.0 7.0 106 5.3 15.0 42.1 44.4 50.0 0.34 52.8 52.6
Emma Miller - 15 37.6 19.9 5.7 3.9 1.5 0.1 2.9 18.8 9.4 -84 -3.7 -15.6 39.0 26.0 87.1 -1.47 48.3 43.4
Myra Moorjani - 21 30.1 12.4 3.3 2.8 1.3 0.4 2.0 11.0 7.2 161 7.3 31.1 38.7 33.6 80.8 0.44 51.4 47.4
Jordan Sears - 1 23.0 12.0 4.0 0.0 0.0 0.0 0.0 7.0 9.0 57 2.6 9.3 42.9 50.0 100.0 -0.24 68.5 57.1
Lynnae Green - 1 18.0 12.0 6.0 1.0 1.0 0.0 2.0 9.0 9.0 -15 -1.4 -10.0 55.6 0 100.0 -1.69 60.7 55.6
Claire Bjorge - 22 28.6 11.9 3.0 2.6 1.4 0.4 1.5 11.0 6.8 91 4.1 17.1 43.2 23.2 75.5 1.22 49.7 46.5
Lexi Karge - 22 23.1 11.9 5.5 0.8 0.4 1.1 1.7 8.6 9.4 14 0.6 3.0 51.9 33.3 73.8 -0.44 58.4 53.7
Riley Jenkins - 15 33.2 11.6 4.4 2.2 0.9 0.5 2.9 9.6 7.1 -53 -2.3 -10.0 41.0 35.0 81.4 -1.03 53.4 48.3
Rayna Klejeski - 15 29.3 11.5 5.9 1.2 0.5 0.6 1.1 7.8 10.8 -10 -0.4 -2.0 48.7 53.8 83.6 3.67 59.8 51.7
Anna Westby - 15 28.5 11.3 4.9 0.6 1.2 2.1 2.3 9.8 8.0 -17 -0.7 -3.6 44.2 42.3 75.0 -1.51 53.9 51.7
Grace Counts - 22 18.1 8.7 2.2 0.9 0.4 0.6 1.2 7.1 4.5 58 2.6 22.9 47.1 40.0 85.7 -1.04 57.7 55.4
Jillian Aschoff - 1 37.0 8.0 5.0 9.0 0.0 0.0 3.0 13.0 6.0 52 2.7 7.5 23.1 0.0 100.0 -3.27 28.8 23.1
Saniya Simmons - 1 25.0 7.0 1.0 1.0 3.0 0.0 2.0 5.0 5.0 82 4.6 22.1 40.0 50.0 100.0 -1.39 59.5 50.0
Maria Counts - 22 22.0 6.4 4.4 2.6 0.9 0.6 1.9 5.7 7.3 35 1.5 8.5 44.8 40.0 61.5 0.38 53.5 52.8
Ashley Fritz - 22 21.4 6.0 3.6 1.4 1.2 0.3 0.9 5.5 6.0 84 3.7 31.3 40.2 29.3 56.7 0.98 48.8 47.1
Vanessa Bickford - 22 31.2 5.4 3.3 2.3 0.7 0.1 0.5 5.0 6.3 33 1.4 6.5 41.3 29.4 86.7 -2.02 51.0 48.2
Gosia Byczkowska - 1 30.0 5.0 10.0 0.0 1.0 0.0 2.0 10.0 4.0 - - - 20.0 14.3 0 - 25.0 25.0
Hope Dudycha - 15 21.8 4.7 1.4 1.1 0.7 0.0 0.9 4.3 2.7 -65 -2.8 -18.6 35.4 44.1 66.7 -1.78 49.6 46.9
Karly Jusczak - 21 10.0 4.5 3.8 0.5 0.4 0.4 0.8 3.3 5.5 45 2.1 29.8 54.3 38.9 70.6 2.41 61.3 59.3
Halle Winjum - 15 20.8 4.0 3.1 1.3 1.4 0.1 1.5 3.2 5.3 -8 -0.3 -1.9 41.7 45.8 56.2 2.21 54.5 53.1
Tara Biocanin - 1 13.0 4.0 1.0 1.0 1.0 0.0 1.0 3.0 3.0 107 5.1 19.2 66.7 0 0.0 4.28 51.5 66.7
Paige Horne - 1 15.0 4.0 4.0 1.0 0.0 0.0 1.0 2.0 6.0 32 1.8 16.0 100.0 0 0 0.44 100.0 100.0
Natalie Mikrot - 10 9.6 3.4 0.9 0.1 0.1 0.0 0.5 2.1 1.9 -28 -1.6 -18.2 52.4 58.8 100.0 -0.98 77.7 76.2
Lilly Radcliffe - 5 5.4 3.2 0.8 0.0 0.2 0.0 0.2 2.4 1.6 2 0.5 11.0 50.0 50.0 0 0.53 66.7 66.7
Reagan Krueger - 5 6.5 3.0 1.8 0.4 0.0 0.0 0.8 3.4 1.0 6 1.2 15.0 29.4 16.7 100.0 0.81 40.0 32.4
Lexi Karlen - 22 7.8 2.5 1.0 0.4 0.3 0.1 0.5 2.4 1.5 52 2.4 59.6 44.2 14.3 100.0 -1.42 49.0 45.2
Tayden Hanks - 14 9.1 2.1 1.3 0.1 0.4 0.0 0.6 1.8 1.5 -75 -3.4 -62.7 48.0 33.3 62.5 -2.45 52.6 50.0
Emma Pierson - 12 4.9 1.8 0.7 0.2 0.0 0.0 0.8 1.9 0.0 -42 -2.5 -42.8 30.4 27.3 50.0 -1.73 39.6 37.0
Drew Johnston - 15 5.8 1.5 0.9 0.3 0.3 0.0 0.3 1.3 1.5 34 2.8 54.2 42.1 41.2 0 2.1 60.5 60.5
Gabrielle Kirchner - 6 4.9 1.3 1.3 0.0 0.2 0.2 1.0 1.3 0.7 -2 -0.4 -11.0 37.5 0 33.3 0.53 37.6 37.5
Torie Neubauer - 9 7.0 1.2 0.8 0.6 0.3 0.1 0.3 1.7 1.0 -37 -4.6 -67.8 20.0 27.3 100.0 -1.94 34.6 30.0
Elayna Boe - 4 6.9 1.2 1.0 0.2 0.2 0.0 0.2 1.5 1.0 5 1.7 20.2 33.3 0.0 33.3 1.02 34.2 33.3
Brynlea Mahlen - 15 10.2 1.1 1.5 0.4 0.3 0.1 0.4 1.9 0.9 -35 -1.5 -18.5 20.7 11.8 50.0 1.49 26.0 24.1
Keagan McVicker - 3 6.0 0.7 1.3 2.3 2.0 0.3 0.7 1.3 4.7 1 0.5 11.1 25.0 0.0 0 0.4 25.0 25.0
Taylor Dirkes - 9 2.4 0.6 0.3 0.1 0.0 0.0 0.1 0.6 0.3 -4 -0.4 -8.6 20.0 33.3 100.0 -0.22 42.5 30.0
Abigail Richter - 1 5.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 0.0 32 2.9 138.6 0.0 0.0 0 -1.4 0.0 0.0
Emma Rowan - 1 5.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 62 3.3 26.5 0 0 0 1.24 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