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South Dakota Mines

Season: 2026
Also known as: South Dakota Mines
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 → 1041 (#262) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1002 (#423) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -7.8 (#468) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.938 (#210) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.8 More → 0.364 (#427) AdjNet -4.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -5.5 More → 0.345 (#431) AdjNet -5.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 54.7 | AdjD 59.0 More → 0.402 (#435) AdjO 54.7 | AdjD 59.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.3 | AdjD 60.0 More → 0.461 (#447) AdjO 58.3 | AdjD 60.0
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 → 0.492 (#388) 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 → 0.489 (#398) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-19 vs Neb. Wesleyan W 57 - 45

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 Miranda - 1 38.6 23.0 4.0 1.0 5.0 0.0 1.0 16.0 16.0 - - - 43.8 46.7 100.0 - 68.1 65.6
Savea Mansfield - 1 31.6 12.0 8.0 2.0 0.0 0.0 0.0 15.0 7.0 - - - 40.0 0.0 0 - 40.0 40.0
Morning Grace Spotted Bear - 1 33.8 10.0 9.0 6.0 0.0 1.0 2.0 17.0 7.0 - - - 17.6 0.0 100.0 - 26.7 17.6
Emma Martin - 1 33.3 5.0 2.0 1.0 3.0 0.0 3.0 6.0 2.0 - - - 33.3 25.0 0 - 41.7 41.7
Lauren Herman - 1 8.4 3.0 2.0 1.0 1.0 0.0 0.0 4.0 3.0 - - - 25.0 33.3 0 - 37.5 37.5
Alexis Backhaus - 1 8.9 2.0 1.0 1.0 1.0 0.0 0.0 2.0 3.0 - - - 50.0 0.0 0 - 50.0 50.0
Samantha Darnell - 1 35.5 2.0 6.0 3.0 2.0 0.0 3.0 4.0 6.0 - - - 25.0 0.0 0 - 25.0 25.0
Sannah Windy Boy - 1 4.2 0.0 1.0 0.0 1.0 0.0 0.0 0.0 2.0 - - - 0 0 0 - 0 0
Abigail Dille - 1 0.6 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Carolina Ruiz Molina - 1 5.2 0.0 1.0 0.0 1.0 0.0 1.0 1.0 0.0 - - - 0.0 0.0 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