🐻⬇️🏀

Buena Vista

Also known as: Buena Vista
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 → 1113 (#119) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1031 (#278) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1057 (#163) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +5.0 (#156) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -1.4 (#391) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.085 (#640) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +35.5 More → 0.984 (#97) NetEff +35.5
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -0.2 More → 0.493 (#359) NetEff -0.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -17.2 More → 0.121 (#533) AdjNet -17.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -17.5 More → 0.111 (#536) AdjNet -17.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.5 | AdjD 74.7 More → 0.249 (#545) AdjO 62.5 | AdjD 74.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.8 | AdjD 63.2 More → 0.535 (#323) AdjO 64.8 | AdjD 63.2
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 → 0.476 (#399) 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 → 0.500 (#381) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 98 | GP 22 More → 1098 (#164) RD 98 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Benedictine (IL) - Incomplete score
2025-11-08 vs Faith Bapt. Bible - Incomplete score
2025-11-10 @ South Dakota - Incomplete score
2025-11-14 @ Macalester - Incomplete score
2025-11-15 @ St. Olaf - Incomplete score
2025-11-20 vs Grinnell - Incomplete score
2025-11-25 vs Carleton - Incomplete score
2025-11-30 vs Bethany Lutheran - Incomplete score
2025-12-03 vs Coe - Incomplete score
2025-12-13 @ Simpson - Incomplete score
2025-12-17 @ Northwest Mo. St. - Incomplete score
2025-12-20 @ Alma - Incomplete score
2026-01-10 @ Loras - Incomplete score
2026-01-14 @ Wartburg - Incomplete score
2026-01-17 vs Luther - Incomplete score
2026-01-21 vs Neb. Wesleyan - Incomplete score
2026-01-24 @ Central (IA) - Incomplete score
2026-01-28 @ Coe - Incomplete score
2026-01-31 vs Dubuque - Incomplete score
2026-02-07 vs Simpson - Incomplete score

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%
Bradi Krager - 18 31.1 14.6 7.4 1.7 2.3 0.8 1.8 10.3 14.7 -84 -4.4 -27.4 50.5 36.6 84.2 -0.14 62.1 57.5
Mary Walker - 18 30.9 13.8 3.9 2.1 1.6 0.2 3.1 12.1 6.6 -45 -2.4 -15.8 39.2 31.3 68.8 3.73 49.6 45.2
Tyme Boettcher - 18 26.2 10.7 5.4 1.9 1.9 0.3 2.3 12.1 5.8 -75 -3.9 -27.6 34.9 24.0 81.8 -3.13 42.4 40.1
Adeeya Yanga - 18 22.2 9.6 4.0 0.9 0.7 1.7 2.1 8.6 6.2 -51 -2.7 -24.1 46.5 27.3 68.4 0.9 50.4 47.4
Adriana Howard - 14 19.8 5.9 6.2 0.9 0.6 0.5 1.0 4.9 8.1 1 0.1 0.7 45.6 25.0 78.3 1.61 52.5 47.1
Danika Demers - 18 22.0 3.4 3.7 3.9 1.4 0.0 2.3 3.3 6.8 -40 -2.1 -17.6 35.0 26.7 100.0 -0.26 47.5 41.7
McKenna Cone - 18 11.8 3.1 1.2 0.4 0.4 0.1 0.3 3.6 1.4 -85 -4.5 -60.0 32.8 23.8 100.0 -2.26 42.6 40.6
Maddie Hilgendorf - 17 12.5 3.1 3.0 0.8 0.2 0.1 1.2 2.7 3.3 -91 -5.1 -78.8 43.5 37.5 100.0 -4.41 53.5 50.0
Maddy Raveling - 18 14.8 2.5 1.3 1.4 0.5 0.0 1.3 2.3 2.1 -74 -3.9 -54.5 40.5 41.2 33.3 -1.66 47.6 48.8
Emily Nothwehr - 4 3.5 1.8 0.2 0.0 0.0 0.0 0.2 1.2 0.5 6 1.2 154.8 60.0 50.0 0 - 70.0 70.0
Jenna Hallock - 16 6.5 1.5 1.1 0.4 0.1 0.1 0.7 1.4 1.1 -31 -1.8 -31.7 39.1 0.0 46.2 -1.52 41.8 39.1
Ruthie Hulton - 2 3.6 1.5 0.0 0.5 0.0 0.0 1.0 0.5 0.5 1 0.5 60.0 100.0 100.0 0 - 150.0 150.0
Olivia Mattson - 6 2.3 1.5 0.5 0.2 0.0 0.0 0.2 0.7 1.3 7 1.0 83.2 75.0 75.0 0 - 112.5 112.5
Mckenna Scott - 12 6.0 1.3 0.9 0.9 0.2 0.1 1.0 1.4 1.0 -21 -1.8 -22.8 35.3 66.7 66.7 -2.91 43.7 41.2
Sophia McCullough - 3 3.4 1.3 1.0 0.0 0.0 0.0 0.0 0.7 1.7 6 2.0 92.9 100.0 0 0 - 100.0 100.0
Hayley Humphrey - 3 3.6 0.7 1.0 0.0 0.0 0.0 0.3 1.0 0.3 8 2.0 195.9 33.3 0.0 0 - 33.3 33.3
Rysaiah Sitzman - 8 4.0 0.6 0.9 0.2 0.0 0.0 0.2 1.1 0.4 -3 -0.3 -15.0 22.2 33.3 0 -0.84 27.8 27.8
Grace Neuberger - 3 3.0 0.0 0.7 0.0 0.0 0.0 0.0 1.3 -0.7 3 1.0 57.6 0.0 0.0 0 - 0.0 0.0
Annie Johnson - 2 1.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 -1.0 0 0.0 0.0 0 0 0 0.49 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