🐻⬇️🏀

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 → 1026 (#184) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 992 (#332) -
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 +2.3 More → +4.3 (#145) HCA +2.3
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 (#165) RD 98 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Benedictine (IL) L 88 - 92
2025-11-08 vs Faith Bapt. Bible W 109 - 49
2025-11-10 @ South Dakota L 54 - 104
2025-11-14 @ Macalester W 73 - 51
2025-11-15 @ St. Olaf L 65 - 66
2025-11-20 vs Grinnell W 67 - 52
2025-11-25 vs Carleton L 67 - 68
2025-11-30 vs Bethany Lutheran W 61 - 60
2025-12-03 vs Coe L 47 - 55
2025-12-13 @ Simpson L 66 - 75
2025-12-17 @ Northwest Mo. St. L 63 - 90
2025-12-20 @ Alma W 70 - 67
2026-01-10 @ Loras W 73 - 70
2026-01-14 @ Wartburg L 49 - 87
2026-01-17 vs Luther W 73 - 61
2026-01-21 vs Neb. Wesleyan W 64 - 48
2026-01-24 @ Central (IA) W 70 - 63
2026-01-28 @ Coe L 40 - 90
2026-01-31 vs Dubuque W 89 - 52
2026-02-07 vs Simpson W 73 - 57

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 - 20 30.5 13.8 7.2 1.8 2.1 0.8 1.8 10.2 13.8 -84 -4.4 -27.4 47.8 35.1 84.6 1.19 59.6 54.4
Mary Walker - 20 30.6 13.4 3.9 2.0 1.6 0.2 3.0 11.7 6.5 -45 -2.4 -15.8 38.9 31.9 69.0 1.07 49.6 45.1
Tyme Boettcher - 20 25.7 11.0 5.0 1.8 1.8 0.2 2.2 12.1 5.5 -75 -3.9 -27.6 35.5 26.8 81.8 0.73 43.7 41.7
Adeeya Yanga - 20 21.6 9.4 3.6 0.8 0.8 1.6 2.0 8.7 5.5 -51 -2.7 -24.1 44.8 18.8 71.4 2.77 49.1 45.7
Adriana Howard - 16 20.0 6.2 6.2 0.8 0.5 0.4 0.9 4.8 8.3 1 0.1 0.7 48.1 30.0 78.6 -0.53 55.4 50.0
Danika Demers - 20 21.4 3.2 3.5 3.9 1.2 0.0 2.6 3.1 6.0 -40 -2.1 -17.6 34.9 29.0 100.0 0.13 47.6 42.1
McKenna Cone - 20 12.2 3.0 1.4 0.5 0.4 0.1 0.2 3.6 1.6 -85 -4.5 -60.0 30.6 23.4 100.0 -2.5 40.9 38.2
Maddie Hilgendorf - 19 12.8 3.0 2.8 0.8 0.2 0.1 1.2 2.6 3.1 -91 -5.1 -78.8 44.0 38.9 100.0 -3.08 54.1 51.0
Maddy Raveling - 20 14.5 2.5 1.1 1.4 0.5 0.0 1.4 2.4 1.9 -74 -3.9 -54.5 40.4 42.9 33.3 -0.49 48.8 50.0
Jenna Hallock - 18 6.8 1.6 1.2 0.5 0.1 0.1 0.6 1.4 1.4 -31 -1.8 -31.7 44.0 0.0 46.2 -0.94 45.6 44.0
Emily Nothwehr - 5 3.0 1.4 0.2 0.0 0.0 0.0 0.2 1.0 0.4 6 1.2 154.8 60.0 50.0 0 0.44 70.0 70.0
Mckenna Scott - 14 6.2 1.1 0.9 0.8 0.1 0.1 1.1 1.2 0.7 -21 -1.8 -22.8 35.3 66.7 66.7 -1.13 43.7 41.2
Olivia Mattson - 8 2.7 1.1 0.8 0.4 0.0 0.1 0.5 0.5 1.4 7 1.0 83.2 75.0 75.0 0 0.31 112.5 112.5
Ruthie Hulton - 3 2.7 1.0 0.0 0.3 0.0 0.0 0.7 0.3 0.3 1 0.5 60.0 100.0 100.0 0 -0.05 150.0 150.0
Sophia McCullough - 4 3.0 1.0 0.8 0.0 0.0 0.0 0.5 0.5 0.8 6 2.0 92.9 100.0 0 0 0.96 100.0 100.0
Rysaiah Sitzman - 10 3.9 0.5 0.8 0.2 0.0 0.0 0.3 1.0 0.2 -3 -0.3 -15.0 20.0 33.3 0 1.29 25.0 25.0
Hayley Humphrey - 5 3.0 0.4 0.6 0.0 0.0 0.0 0.2 0.8 0.0 8 2.0 195.9 25.0 0.0 0 0.81 25.0 25.0
Grace Neuberger - 4 2.7 0.0 0.5 0.0 0.0 0.0 0.0 1.0 -0.5 3 1.0 57.6 0.0 0.0 0 0.42 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 -0.05 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