🐻⬇️🏀

Kalamazoo

Also known as: Kalamazoo
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 → 909 (#394) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 847 (#510) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 961 (#550) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -4.4 (#237) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -3.1 (#412) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.090 (#636) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -16.9 More → 0.072 (#502) NetEff -16.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -17.8 More → 0.113 (#539) AdjNet -17.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -18.1 More → 0.105 (#538) AdjNet -18.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 56.9 | AdjD 68.7 More → 0.254 (#541) AdjO 56.9 | AdjD 68.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 54.1 | AdjD 57.7 More → 0.419 (#514) AdjO 54.1 | AdjD 57.7
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 → 0.336 (#504) 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 → 0.353 (#502) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 111 | GP 21 More → 943 (#381) RD 111 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Mount Union L 39 - 52
2025-11-09 vs Westminster (PA) L 56 - 57
2025-11-12 vs Bluffton L 35 - 66
2025-11-19 @ Elmhurst L 39 - 59
2025-11-22 vs Kenyon W 77 - 63
2025-12-03 @ Albion L 44 - 56
2025-12-10 vs Oberlin L 52 - 58
2025-12-13 vs Hope L 40 - 93
2025-12-17 @ Pacific (OR) L 58 - 67
2026-01-14 @ Calvin L 45 - 64
2026-01-17 vs Olivet W 55 - 45
2026-01-21 @ Hope L 42 - 74
2026-01-24 @ Alma W 68 - 64
2026-01-28 vs Trine L 42 - 70
2026-01-31 @ Olivet W 61 - 51
2026-02-04 vs St. Mary's (IN) W 58 - 53
2026-02-07 vs Calvin L 44 - 61

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%
Ruby Hogan - 15 34.4 11.9 6.9 5.3 1.6 0.4 4.6 10.9 10.6 -75 -4.7 -31.1 36.2 18.5 64.4 -0.28 44.5 37.7
Lauren Vanderstelt - 17 35.5 9.9 10.6 1.0 0.5 3.8 2.1 10.4 13.3 -11 -0.6 -3.1 34.7 25.0 79.1 0.39 43.1 38.1
Semaj' Robertson - 16 23.6 7.2 2.8 1.6 1.3 0.3 3.1 7.1 3.0 -63 -3.5 -30.1 45.1 19.0 43.5 1.85 47.1 46.9
Sophia Moir - 17 22.6 6.6 3.5 0.7 0.8 0.3 1.9 6.2 3.9 -30 -1.7 -11.7 38.1 23.3 71.9 1.18 47.4 42.9
Taylor Dinda - 17 22.1 5.4 3.0 0.6 0.6 0.2 2.1 7.2 0.6 -92 -5.1 -38.9 23.8 24.4 68.8 -1.26 35.3 32.8
Alyse Baughman - 6 18.6 4.7 3.2 1.0 0.2 0.0 1.3 3.8 3.8 -14 -2.0 -37.4 47.8 0.0 60.0 -0.8 51.1 47.8
Elisabeth Wilks - 16 15.9 3.1 3.1 0.9 0.6 0.2 2.6 4.4 0.8 -110 -7.3 -57.1 23.9 14.7 45.5 -2.01 30.4 27.5
Scarlett Hosner - 6 7.7 2.7 1.3 0.2 0.0 0.0 0.3 3.7 0.2 - - - 31.8 12.5 50.0 - 35.0 34.1
Brittany Miller - 13 11.5 2.2 1.9 0.1 0.3 0.0 0.8 2.7 1.0 -67 -4.8 -289.7 25.7 36.4 60.0 -0.68 35.5 31.4
Makayla Allen - 15 12.2 1.6 1.5 0.3 0.3 0.0 0.6 2.9 0.3 -40 -3.1 -26.7 16.3 13.9 83.3 -3.56 26.3 22.1
Lauren Vos - 9 9.1 1.6 1.6 0.3 0.0 0.1 0.6 2.2 0.8 -30 -3.0 -81.4 25.0 28.6 100.0 0.06 33.5 30.0
Autumn Hummel - 2 2.1 1.5 1.5 0.0 0.0 0.0 0.0 1.0 2.0 - - - 50.0 100.0 0 - 75.0 75.0
Josee Cooke - 14 10.8 0.9 1.6 0.0 0.0 0.2 0.6 2.1 0.1 -42 -2.6 -40.3 13.8 5.9 75.0 -0.41 19.5 15.5
Ella Boyea - 11 5.8 0.9 0.5 0.2 0.5 0.0 0.8 1.2 0.2 -9 -0.7 -27.0 30.8 12.5 100.0 -1.16 37.2 34.6
Genevieve Nagel - 6 8.8 0.3 2.0 0.0 0.0 0.3 0.7 1.0 1.0 -26 -2.6 -201.3 16.7 0 0 -1.17 16.7 16.7
Adeline Gill - 6 4.9 0.3 0.8 0.2 0.0 0.0 0.5 1.0 -0.2 8 0.8 37.1 16.7 0.0 0 -2.3 16.7 16.7
Dasia Lopez - 3 2.1 0.0 0.0 0.0 0.0 0.0 0.7 0.0 -0.7 -3 -0.8 -48.6 0 0 0 -0.23 0 0
Macy Ivins - 4 2.4 0.0 0.2 0.5 0.0 0.0 0.2 0.2 0.2 -9 -1.8 -342.9 0.0 0.0 0 -0.47 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