🐻⬇️🏀

Bemidji St.

Also known as: Bemidji St.
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 → 995 (#281) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 999 (#286) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 890 (#626) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +7.9 (#96) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +2.4 (#323) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.277 (#451) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -4.7 More → 0.362 (#316) NetEff -4.7
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -15.8 More → 0.118 (#391) NetEff -15.8
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -40.7 More → 0.004 (#464) NetEff -40.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +3.2 More → 0.590 (#361) AdjNet +3.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +3.8 More → 0.611 (#359) AdjNet +3.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.3 | AdjD 62.5 More → 0.564 (#346) AdjO 65.3 | AdjD 62.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.9 | AdjD 64.5 More → 0.442 (#481) AdjO 61.9 | AdjD 64.5
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 → 0.518 (#340) 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 → 0.486 (#370) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 94 | GP 22 More → 900 (#371) RD 94 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Valley City St. W 81 - 68
2025-11-17 vs Minn.-Morris W 85 - 53
2025-11-25 @ Minn. Duluth L 63 - 74
2025-11-28 vs Florida Tech W 68 - 58
2025-11-29 @ Tampa L 49 - 66
2025-12-04 vs MSU Moorhead W 55 - 53
2025-12-06 @ Minn.-Crookston W 86 - 76
2025-12-11 @ Jamestown W 77 - 61
2025-12-13 @ Northern St. L 55 - 62
2025-12-20 vs Minot St. L 71 - 84
2026-01-03 vs Minn. Duluth L 50 - 78
2026-01-10 vs Sioux Falls W 76 - 70
2026-01-16 @ St. Cloud St. L 56 - 77
2026-01-17 @ Minnesota St. L 69 - 94
2026-01-23 vs Concordia-St. Paul L 42 - 64
2026-01-24 vs Winona St. W 72 - 65
2026-01-30 @ Augustana (SD) L 59 - 65
2026-01-31 @ Wayne St. (NE) L 50 - 61
2026-02-05 @ Minot St. L 69 - 77
2026-02-07 @ Mary L 54 - 85

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%
Kassandra Caron - 18 23.1 16.1 5.4 1.6 1.3 0.8 2.0 12.1 11.1 51 2.7 26.4 45.0 34.1 75.2 0.74 54.7 48.2
Evyn Eppinga - 20 31.0 14.6 3.6 1.9 0.8 0.1 3.4 11.8 5.8 7 0.3 1.5 42.2 36.4 82.1 -2.61 54.6 49.8
Tieryn Plasch - 20 29.4 9.8 3.7 2.1 1.4 0.1 2.0 8.5 6.8 -30 -1.4 -6.9 40.0 35.9 92.0 -1.1 54.1 50.9
Gabrielle Fineday - 17 16.4 5.4 0.7 0.7 0.2 0.0 0.6 4.5 1.8 -66 -3.5 -19.1 40.3 35.6 88.9 -1.23 56.2 53.9
Aubrey Heyer - 20 26.8 4.5 5.5 1.0 0.4 0.8 1.4 4.8 6.1 -56 -2.7 -20.0 30.9 21.3 83.3 -0.01 41.8 36.1
Brooklyn Wood - 7 15.3 4.3 1.6 0.9 0.4 0.1 1.3 3.4 2.6 -17 -2.4 -20.9 45.8 44.4 0 -1.03 62.5 62.5
Ashlynne Guenther - 20 20.4 3.9 2.7 0.9 0.4 0.1 2.0 3.4 2.6 27 1.3 9.4 40.3 20.0 80.0 -0.22 49.4 42.5
Kendra Syverson - 16 13.5 3.4 1.5 0.4 0.8 0.0 0.6 3.3 2.1 -40 -2.2 -21.6 30.2 20.8 77.3 1.14 43.1 34.9
Sam Veto - 16 12.5 3.1 1.4 0.4 0.4 0.3 0.9 3.2 1.5 -47 -2.9 -37.2 33.3 25.8 61.5 -3.38 44.1 41.2
Gabby Fineday - 1 10.0 3.0 0.0 0.0 0.0 0.0 1.0 5.0 -3.0 -66 -3.5 -19.1 20.0 50.0 0 -1.23 30.0 30.0
MaCee Linow - 11 7.1 2.5 0.7 0.0 0.1 0.1 0.6 2.7 0.1 -33 -2.8 -59.2 26.7 20.0 90.0 -1.11 40.7 31.7
Beth Bolte - 19 16.2 1.9 2.9 0.8 0.7 0.4 0.5 2.5 3.7 -70 -3.3 -22.5 29.2 11.5 75.0 -0.75 35.9 32.3
Lindsey Weiler - 16 7.4 1.9 1.6 0.1 0.0 0.1 0.6 1.8 1.3 -29 -1.8 -27.6 48.3 0.0 42.9 -1.07 48.3 48.3
Tiffany Liddie - 11 9.8 1.8 1.1 0.1 0.1 0.2 0.7 2.0 0.5 -2 -0.2 -3.7 40.9 14.3 50.0 0.25 43.7 43.2
Kaitlyn Reeves - 6 2.4 0.0 0.0 0.0 0.2 0.0 0.0 1.0 -0.8 -6 -1.0 -55.2 0.0 0.0 0 -0.79 0.0 0.0
Ava Olson - 4 4.7 0.0 0.8 0.2 0.0 0.0 0.0 0.2 0.8 -12 -3.0 -35.5 0.0 0 0 -0.78 0.0 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