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Black Hills St.

Also known as: Black Hills 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 → 1152 (#56) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1053 (#189) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1081 (#86) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +16.0 (#39) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +17.9 (#114) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.789 (#253) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +25.4 More → 0.971 (#93) NetEff +25.4
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -73.4 More → 0.000 (#528) NetEff -73.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +20.5 More → 0.914 (#195) AdjNet +20.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +21.2 More → 0.925 (#192) AdjNet +21.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.1 | AdjD 55.2 More → 0.765 (#202) AdjO 68.1 | AdjD 55.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.6 | AdjD 52.6 More → 0.782 (#35) AdjO 66.6 | AdjD 52.6
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 → 0.831 (#75) 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 → 0.826 (#67) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 21 More → 1064 (#184) RD 102 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs St. Edward's W 73 - 42
2025-11-16 vs St. Mary's (TX) L 58 - 61
2025-11-19 @ Minn.-Crookston L 68 - 75
2025-11-21 @ Northern St. L 54 - 56
2025-11-22 @ Sioux Falls L 66 - 69
2025-12-04 vs Chadron St. W 83 - 34
2025-12-11 vs UCCS W 61 - 56
2025-12-13 vs Colo. Christian W 70 - 48
2025-12-17 @ Catholic (PR) W 91 - 33
2026-01-10 @ MSU Denver W 81 - 68
2026-01-15 vs N.M. Highlands W 67 - 60
2026-01-17 vs Fort Lewis W 59 - 52
2026-01-22 @ Colorado Mesa L 49 - 62
2026-01-24 @ Western Colo. L 74 - 75
2026-01-27 @ Chadron St. W 67 - 54
2026-01-31 vs South Dakota Mines W 58 - 41
2026-02-05 @ CSU Pueblo W 60 - 48
2026-02-07 @ UCCS L 70 - 73

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%
Addison Branscum - 7 21.8 10.3 4.9 1.0 0.4 0.0 1.1 9.1 6.3 31 3.9 15.1 39.1 37.0 70.6 0.65 50.4 46.9
Bradie Schlabs - 18 31.4 10.0 3.9 5.2 1.6 0.0 4.0 10.8 5.8 121 5.5 18.5 32.3 30.5 72.0 0.35 41.5 36.9
Brinlee McRae - 17 20.7 9.5 3.9 1.6 1.2 0.4 1.4 9.5 5.9 139 7.0 25.8 41.6 27.7 40.0 1.99 47.1 47.2
Sawyer Stoebner - 17 21.0 8.9 6.5 1.2 1.5 0.2 2.2 7.3 8.8 91 4.3 27.8 46.8 0.0 67.3 -2.47 51.4 46.8
Taylin Serlen - 17 18.3 8.1 4.2 0.4 0.5 0.9 1.2 6.7 6.1 143 6.5 48.5 50.0 0.0 75.0 2.63 53.9 50.0
Alli Glasscock - 15 17.1 6.9 4.9 0.2 0.7 0.2 1.0 6.6 5.3 49 2.9 17.4 40.4 23.1 80.8 -1.5 47.1 41.9
Maureen Ulrich - 18 19.3 6.8 4.7 0.8 0.8 0.1 1.1 5.6 6.6 141 6.7 39.4 46.0 24.1 69.7 1.74 53.3 49.5
Emily Cooper - 18 22.2 6.2 2.6 2.9 0.6 0.1 1.4 5.4 5.6 95 4.3 21.9 36.1 30.9 77.3 -3.82 52.5 49.0
Audrey Norville - 18 31.1 6.2 5.9 1.8 1.0 0.1 1.9 6.6 6.5 136 6.2 22.6 31.1 22.7 66.7 1.38 40.7 35.3
Taylor Ray - 1 7.4 4.0 2.0 0.0 2.0 0.0 0.0 5.0 3.0 - - - 40.0 0 0 - 40.0 40.0
Kenleigh Graham - 3 9.5 2.7 3.3 0.3 0.0 0.0 1.7 1.0 3.7 31 7.8 277.6 100.0 0 100.0 -0.88 103.1 100.0
Maddie Geiver - 5 7.9 2.6 2.0 0.2 0.0 0.8 0.6 2.4 2.6 40 6.7 1116.3 41.7 0 75.0 -0.13 47.2 41.7
Lillian Meulemans - 1 1.4 2.0 0.0 0.0 0.0 0.0 0.0 2.0 0.0 -5 -2.5 -139.5 50.0 0.0 0 -0.13 50.0 50.0
Tess Rule - 18 10.1 1.4 2.2 0.4 0.3 0.1 0.6 1.6 2.2 120 5.5 85.9 37.9 0.0 42.9 -1.62 39.0 37.9
Jozie Dana - 3 4.1 1.3 0.7 0.3 0.3 0.0 0.0 1.0 1.7 7 1.8 92.3 66.7 0.0 0 -0.9 66.7 66.7
Sydney Deem - 4 6.0 0.0 1.2 0.0 0.0 0.0 0.2 0.8 0.2 37 6.2 1032.6 0.0 0.0 0 -0.13 0.0 0.0
Lilly Meulemans - 1 5.7 0.0 0.0 1.0 0.0 0.0 1.0 2.0 -2.0 -5 -2.5 -139.5 0.0 0.0 0 -0.13 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