South Dakota
Model Outputs
2025-2026
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 → | 920 (#378) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1067 (#206) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 725 (#571) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 813 (#680) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -48.8 (#424) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -44.6 (#707) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.999 (#114) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.000 (#748) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.999 (#61) | NetEff +61.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.984 (#129) | AdjNet +35.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.000 (#759) | AdjNet -95.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.986 (#130) | AdjNet +35.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.000 (#759) | AdjNet -99.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.938 (#97) | AdjO 86.9 | AdjD 57.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.006 (#757) | AdjO 30.3 | AdjD 87.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.057 (#716) | AdjO 42.3 | AdjD 73.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.022 (#710) | 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. More → | 0.024 (#712) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 718 (#531) | RD 107 | GP 23 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | @ | Franciscan | L | 48 - 72 |
| 2025-11-09 | @ | SUNY Canton | L | 51 - 95 |
| 2025-11-10 | vs | Buena Vista | W | 104 - 54 |
| 2025-11-15 | vs | Keuka | L | 42 - 66 |
| 2025-11-18 | @ | Albany Pharmacy | L | 56 - 61 |
| 2025-11-21 | @ | Maine Maritime | L | 32 - 85 |
| 2025-11-22 | @ | Me.-Farmington | L | 39 - 76 |
| 2025-12-01 | @ | MCLA | W | 58 - 45 |
| 2025-12-12 | @ | SUNY Cobleskill | L | 42 - 72 |
| 2025-12-14 | @ | Hartwick | L | 33 - 65 |
| 2026-01-10 | vs | Thomas (ME) | L | 26 - 75 |
| 2026-01-11 | vs | Lesley | W | 53 - 41 |
| 2026-01-13 | @ | Cornell | L | 27 - 106 |
| 2026-01-16 | vs | Me.-Farmington | L | 44 - 74 |
| 2026-01-17 | vs | Maine Maritime | L | 39 - 88 |
| 2026-01-24 | vs | SUNY Cobleskill | L | 37 - 71 |
| 2026-01-30 | @ | VTSU Lyndon | L | 47 - 55 |
| 2026-01-31 | @ | VTSU-Johnson | L | 60 - 71 |
| 2026-02-06 | vs | Me.-Presque Isle | W | 58 - 39 |
| 2026-02-07 | vs | Husson | L | 64 - 76 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Elise Turrubiates | - | 1 | 23.5 | 17.0 | 5.0 | 0.0 | 1.0 | 1.0 | 0.0 | 11.0 | 13.0 | - | - | - | 72.7 | 0 | 50.0 | - | 71.5 | 72.7 |
| Angelina Robles | - | 1 | 19.9 | 17.0 | 3.0 | 3.0 | 0.0 | 0.0 | 1.0 | 12.0 | 10.0 | - | - | - | 50.0 | 62.5 | 0 | - | 70.8 | 70.8 |
| Josie Hill | - | 1 | 20.4 | 14.0 | 10.0 | 2.0 | 1.0 | 4.0 | 1.0 | 8.0 | 22.0 | 65 | 3.2 | 22.4 | 62.5 | 0 | 100.0 | 3.9 | 71.7 | 62.5 |
| Olivia Kieffer | - | 1 | 18.9 | 12.0 | 2.0 | 2.0 | 2.0 | 0.0 | 0.0 | 12.0 | 6.0 | - | - | - | 33.3 | 33.3 | 0 | - | 50.0 | 50.0 |
| Sareena Palau | - | 1 | 19.0 | 9.0 | 3.0 | 2.0 | 2.0 | 0.0 | 3.0 | 3.0 | 10.0 | -250 | -13.2 | -69.9 | 66.7 | 0 | 62.5 | -3.18 | 69.0 | 66.7 |
| Alani Brock | - | 10 | 17.6 | 8.0 | 2.4 | 0.2 | 0.4 | 0.2 | 2.1 | 9.5 | -0.4 | -80 | -7.3 | -37.4 | 34.7 | 30.8 | 76.9 | 0.32 | 39.7 | 36.8 |
| Molly Joyce | - | 1 | 21.0 | 8.0 | 2.0 | 5.0 | 1.0 | 1.0 | 2.0 | 7.0 | 8.0 | - | - | - | 57.1 | 0.0 | 0 | - | 57.1 | 57.1 |
| Mya Aiken | - | 19 | 21.7 | 7.8 | 2.8 | 1.1 | 0.9 | 0.1 | 2.3 | 9.7 | 0.7 | -197 | -10.4 | -53.9 | 28.8 | 20.0 | 54.1 | -2.19 | 35.3 | 31.5 |
| Kapriece Sigler | - | 4 | 20.3 | 7.8 | 4.2 | 0.5 | 1.5 | 0.0 | 2.5 | 9.5 | 2.0 | -16 | -5.3 | -11.7 | 31.6 | 11.1 | 75.0 | 1.05 | 37.3 | 32.9 |
| Jenna Hopp | - | 1 | 14.1 | 7.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 | 1.0 | - | - | - | 42.9 | 0.0 | 100.0 | - | 47.0 | 42.9 |
| Patience Williams | - | 1 | 18.4 | 7.0 | 11.0 | 0.0 | 3.0 | 0.0 | 2.0 | 8.0 | 11.0 | - | - | - | 37.5 | 33.3 | 0 | - | 43.8 | 43.8 |
| Aniyah Boston | - | 10 | 27.7 | 6.1 | 7.7 | 1.6 | 1.5 | 0.3 | 2.2 | 8.8 | 6.2 | -110 | -10.0 | -31.7 | 25.0 | 40.0 | 81.2 | -0.9 | 32.1 | 27.3 |
| Alex Flattery | - | 1 | 11.1 | 6.0 | 4.0 | 2.0 | 1.0 | 1.0 | 0.0 | 4.0 | 10.0 | - | - | - | 50.0 | 0.0 | 100.0 | - | 61.5 | 50.0 |
| Juanita Guzman | - | 8 | 12.4 | 5.0 | 4.8 | 0.8 | 0.1 | 0.2 | 1.2 | 4.5 | 5.1 | -62 | -7.8 | -105.2 | 44.4 | 0.0 | 53.3 | -1.31 | 46.9 | 44.4 |
| Coral Mason | - | 1 | 5.0 | 5.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 | - | - | - | 50.0 | 100.0 | 100.0 | - | 86.8 | 75.0 |
| Alexandra Reuss | - | 18 | 17.7 | 4.4 | 3.3 | 0.4 | 0.3 | 0.1 | 1.5 | 5.7 | 1.4 | -178 | -9.4 | -53.9 | 30.4 | 22.2 | 63.2 | -3.57 | 36.2 | 33.3 |
| Jonnya Snelling | - | 3 | 19.0 | 4.3 | 3.7 | 0.0 | 1.0 | 0.0 | 0.7 | 4.0 | 4.3 | - | - | - | 25.0 | 25.0 | 66.7 | - | 44.4 | 37.5 |
| Sereena Palau | - | 18 | 20.6 | 4.2 | 2.9 | 2.3 | 1.2 | 0.1 | 3.4 | 6.3 | 1.1 | -250 | -13.2 | -69.9 | 23.0 | 16.1 | 48.7 | -3.18 | 29.2 | 25.2 |
| Sarah Gaetano | - | 17 | 19.2 | 4.1 | 1.9 | 1.3 | 0.7 | 0.0 | 2.2 | 4.5 | 1.4 | -174 | -9.7 | -63.1 | 22.4 | 20.0 | 71.8 | -0.12 | 37.6 | 27.6 |
| Riley Schmidt | - | 18 | 26.1 | 4.1 | 2.9 | 1.1 | 1.5 | 0.0 | 2.0 | 6.8 | 0.8 | -231 | -12.8 | -43.2 | 24.6 | 12.5 | 50.0 | -2.78 | 28.5 | 27.0 |
| Olivia Moore | - | 1 | 13.2 | 4.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 8.0 | 0.0 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
| N'Dera Francis | - | 18 | 21.5 | 3.3 | 4.1 | 0.6 | 0.9 | 0.0 | 1.4 | 4.8 | 2.7 | -200 | -11.1 | -64.4 | 29.9 | 33.3 | 83.3 | -5.32 | 33.5 | 31.6 |
| Gianna Schmidt | - | 19 | 20.8 | 3.2 | 4.6 | 0.5 | 0.3 | 0.3 | 2.1 | 4.4 | 2.4 | -165 | -8.7 | -49.7 | 31.0 | 50.0 | 53.3 | -2.4 | 33.7 | 31.5 |
| Jonnya Shelling | - | 16 | 14.8 | 3.1 | 1.4 | 0.2 | 0.2 | 0.1 | 0.6 | 4.8 | -0.3 | -114 | -6.0 | -63.8 | 21.1 | 19.4 | 66.7 | 0.93 | 31.3 | 28.9 |
| Alyssa Bartlett | - | 1 | 14.4 | 3.0 | 4.0 | 4.0 | 0.0 | 0.0 | 3.0 | 3.0 | 5.0 | -72 | -3.4 | -18.5 | 33.3 | 50.0 | 0 | -1.75 | 50.0 | 50.0 |
| Grace Peterson | - | 1 | 5.0 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| Tori Schlagel | - | 1 | 15.1 | 2.0 | 2.0 | 3.0 | 1.0 | 1.0 | 1.0 | 3.0 | 5.0 | - | - | - | 0.0 | 0.0 | 100.0 | - | 25.8 | 0.0 |
| Natalie Crandall | - | 4 | 8.7 | 0.5 | 1.2 | 0.0 | 0.2 | 0.5 | 0.2 | 2.2 | 0.0 | -16 | -5.3 | -44.9 | 11.1 | 0.0 | 0.0 | -0.08 | 10.1 | 11.1 |
| Eve Foster | - | 6 | 5.7 | 0.2 | 0.5 | 0.2 | 0.0 | 0.0 | 0.3 | 0.8 | -0.3 | -36 | -4.5 | -184.6 | 0.0 | 0.0 | 100.0 | -1.28 | 9.2 | 0.0 |
| Kayleigh Tobin | - | 14 | 7.4 | 0.0 | 0.4 | 0.1 | 0.1 | 0.0 | 0.5 | 1.5 | -1.4 | -98 | -7.0 | -218.6 | 0.0 | 0.0 | 0.0 | -1.09 | 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