🐻⬇️🏀

Hillsdale

Also known as: Hillsdale
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 → 1106 (#85) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1096 (#98) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1061 (#120) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +8.0 (#95) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +4.4 (#291) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.634 (#310) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +1.2 More → 0.538 (#269) NetEff +1.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +14.3 More → 0.838 (#255) AdjNet +14.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +14.6 More → 0.849 (#251) AdjNet +14.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.7 | AdjD 59.2 More → 0.704 (#255) AdjO 68.7 | AdjD 59.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.3 | AdjD 60.4 More → 0.542 (#267) AdjO 62.3 | AdjD 60.4
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 → 0.635 (#244) 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 → 0.624 (#248) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 97 | GP 20 More → 1115 (#99) RD 97 | GP 20

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Ill. Springfield W 77 - 61
2025-11-15 vs Purdue Northwest W 77 - 59
2025-11-19 @ Wayne St. (MI) L 59 - 79
2025-11-22 @ Lake Superior St. W 59 - 50
2025-11-26 @ Ferris St. L 68 - 79
2025-12-06 vs Lake Erie W 54 - 50
2025-12-11 @ Northwood L 72 - 76
2025-12-20 @ Saginaw Valley W 70 - 58
2026-01-03 vs Malone W 61 - 54
2026-01-10 @ Thomas More L 65 - 69
2026-01-15 vs Cedarville W 83 - 65
2026-01-17 @ Tiffin L 52 - 80
2026-01-22 @ Findlay L 49 - 75
2026-01-24 vs Ashland W 53 - 52
2026-01-29 @ Ursuline W 70 - 54
2026-01-31 @ Walsh L 63 - 72
2026-02-05 vs Tiffin W 76 - 73
2026-02-07 vs Ohio Dominican W 63 - 52

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%
Mia Riley - 1 24.0 22.0 7.0 2.0 3.0 1.0 1.0 15.0 19.0 129 7.6 42.9 53.3 33.3 66.7 1.2 62.4 60.0
Annalise Pietrzyk - 17 34.2 14.0 4.6 3.0 1.1 0.5 2.6 12.3 8.3 11 0.6 1.7 39.7 35.2 73.9 1.11 51.9 48.8
Savannah Smith - 17 20.7 13.1 3.8 0.4 0.4 0.7 1.4 10.5 6.4 22 1.2 4.9 54.7 50.0 70.6 0.99 57.2 55.3
Kadyn Blanchard - 1 27.0 13.0 2.0 5.0 1.0 0.0 2.0 11.0 8.0 143 8.4 43.4 36.4 0.0 71.4 0.33 46.2 36.4
Mya Hiram - 1 20.0 12.0 5.0 1.0 2.0 0.0 3.0 7.0 10.0 105 6.2 41.0 71.4 0.0 100.0 0.52 76.1 71.4
Emma Ruhlman - 17 26.8 8.7 7.4 2.5 0.9 0.2 2.4 7.5 9.9 62 3.3 10.4 40.2 41.4 91.7 2.82 53.8 49.6
Ellie Bruce - 17 18.3 8.2 4.9 0.3 0.6 1.4 1.2 7.2 7.0 -26 -1.4 -6.7 48.4 0 56.8 -2.08 50.3 48.4
Sarah Aleknavicius - 11 29.0 7.6 3.7 3.4 1.1 0.8 2.2 5.8 8.6 34 3.1 9.4 45.3 34.4 75.0 1.46 57.7 53.9
Grace Lyons - 1 14.0 7.0 0.0 2.0 0.0 0.0 1.0 7.0 1.0 25 1.6 18.8 42.9 20.0 0 -1.84 50.0 50.0
Emma Schierbeek - 1 16.0 6.0 0.0 1.0 1.0 0.0 0.0 7.0 1.0 84 4.9 49.2 28.6 40.0 0 0.9 42.9 42.9
Emilia Sularski - 17 15.3 5.8 1.2 0.8 0.5 0.0 0.9 5.1 2.4 -36 -1.9 -10.3 40.7 42.0 0 -1.27 57.6 57.6
Ally Schultz - 1 13.0 5.0 1.0 2.0 2.0 0.0 0.0 3.0 7.0 23 1.4 18.4 66.7 100.0 0 0.89 83.3 83.3
Magdalena Sularski - 17 25.3 4.8 2.8 1.8 0.9 0.0 3.1 5.2 2.1 -54 -2.8 -9.9 35.2 33.3 61.5 -3.09 43.7 42.0
Kenzie Garner - 1 4.0 3.0 1.0 0.0 0.0 0.0 0.0 2.0 2.0 17 4.2 50.8 50.0 50.0 0 0.31 75.0 75.0
Elle Irwin - 1 27.0 3.0 6.0 2.0 3.0 0.0 0.0 5.0 9.0 190 11.2 58.2 20.0 0.0 50.0 2.63 25.5 20.0
Sydney Pnacek - 17 13.0 2.5 3.2 1.2 0.6 0.2 1.2 3.2 3.4 -38 -2.0 -15.2 29.1 21.1 46.7 -2.43 34.9 32.7
Claire Erickson - 1 17.0 2.0 4.0 2.0 2.0 0.0 1.0 3.0 6.0 -69 -3.8 -16.7 0.0 0.0 100.0 -0.6 25.8 0.0
Mara Mitchell - 1 5.0 2.0 0.0 1.0 0.0 0.0 2.0 1.0 0.0 52 3.2 35.3 100.0 0 0 0.75 100.0 100.0
Melena Glysch - 1 7.0 2.0 3.0 1.0 2.0 0.0 0.0 1.0 7.0 40 2.9 47.0 100.0 0 0 1.61 100.0 100.0
Alyssa Wirth - 1 5.0 2.0 2.0 0.0 0.0 2.0 0.0 1.0 5.0 -17 -1.5 -22.6 100.0 0 0 -1.36 100.0 100.0
Addison Kincaid - 1 3.7 2.0 1.0 0.0 0.0 0.0 0.0 2.0 1.0 2 0.7 21.4 50.0 0 0 -0.05 50.0 50.0
Maddie Smith - 17 21.8 1.5 2.8 2.2 0.6 0.3 1.2 2.1 4.2 35 1.8 7.6 28.6 20.0 50.0 1.24 35.4 34.3
Maddy Greene - 9 5.3 1.1 0.8 0.1 0.3 0.1 0.6 1.8 0.1 -26 -2.6 -64.9 31.2 0.0 0 -1.14 31.2 31.2
Grace McKinney - 3 2.7 1.0 0.7 0.0 0.0 0.3 0.0 0.7 1.3 8 2.0 73.3 50.0 0 25.0 0.36 39.9 50.0
Payton Adkins - 11 5.7 0.6 1.0 0.3 0.4 0.1 0.4 0.9 1.1 1 0.1 1.2 10.0 0.0 83.3 -0.33 27.7 10.0
Charlotte Miller - 1 21.0 0.0 1.0 2.0 1.0 0.0 1.0 2.0 1.0 41 2.4 14.1 0.0 0.0 0 -1.48 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