🐻⬇️🏀

Malone

Also known as: Malone
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 → 1131 (#71) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1192 (#42) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1115 (#58) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +15.8 (#41) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +13.0 (#169) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.822 (#230) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +18.3 More → 0.916 (#127) NetEff +18.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +18.4 More → 0.893 (#210) AdjNet +18.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +18.8 More → 0.902 (#210) AdjNet +18.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.5 | AdjD 57.5 More → 0.750 (#211) AdjO 69.5 | AdjD 57.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.0 | AdjD 55.4 More → 0.724 (#70) AdjO 66.0 | AdjD 55.4
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 → 0.805 (#94) 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 → 0.796 (#92) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 104 | GP 22 More → 1196 (#47) RD 104 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Wayne St. (MI) W 75 - 65
2025-11-15 vs UIndy W 94 - 57
2025-11-18 @ Seton Hill W 81 - 72
2025-11-21 vs Roosevelt W 83 - 57
2025-11-24 @ Lake Superior St. W 69 - 63
2025-11-26 @ Davenport W 70 - 56
2025-12-04 vs Ursuline W 65 - 57
2025-12-06 vs Tiffin W 76 - 61
2025-12-11 @ Cedarville W 75 - 52
2025-12-13 @ Lake Erie W 72 - 51
2025-12-30 vs Bry. & Strat. (OH) USCAA W 108 - 33
2026-01-03 @ Hillsdale L 54 - 61
2026-01-10 vs Findlay W 73 - 64
2026-01-15 vs Ky. Wesleyan L 63 - 65
2026-01-17 vs Thomas More W 58 - 41
2026-01-22 @ Ohio Dominican W 63 - 52
2026-01-24 vs Walsh W 70 - 60
2026-01-29 @ Ashland W 68 - 65
2026-02-05 vs Northwood L 46 - 52
2026-02-07 @ Ursuline W 82 - 68

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%
Erin Kaufman - 20 27.4 16.6 9.4 2.1 1.9 0.7 2.1 12.3 16.2 124 5.6 23.2 47.0 32.1 83.5 1.31 56.3 48.8
Elena Oliver - 19 22.2 9.6 5.0 1.4 0.7 0.1 1.9 7.6 7.4 115 5.5 25.3 50.7 34.6 81.8 2.66 57.4 53.8
Abbey Price - 10 21.1 8.3 3.0 1.9 1.3 0.3 1.5 8.2 5.1 59 5.4 26.4 39.0 16.7 76.2 3.16 45.5 40.9
Meredith Randulic - 20 14.4 6.5 1.6 0.9 0.8 0.1 1.7 6.2 1.9 66 3.0 20.2 40.0 37.3 66.7 -0.61 50.8 50.0
Brinn Hunt - 20 22.9 6.2 3.7 1.4 0.8 0.1 1.0 6.0 5.2 117 5.3 29.9 37.0 36.4 60.0 3.74 50.7 50.4
Kylee Bruce - 20 14.3 5.9 1.8 0.9 0.7 0.1 1.2 4.7 3.5 98 4.5 25.8 42.6 34.7 91.3 1.81 56.7 51.6
Bridget Barber - 20 13.1 4.7 2.8 0.7 0.6 0.4 0.7 4.3 4.1 63 2.9 29.3 38.4 30.2 82.4 -0.55 49.7 45.9
Aila Miller - 17 11.5 4.2 2.2 0.7 0.3 0.1 0.4 4.5 2.6 51 2.7 38.6 36.8 28.6 69.2 1.8 43.4 40.8
Anna Krupa - 20 18.4 4.2 3.2 1.6 0.8 0.0 0.9 3.6 5.2 96 4.4 35.5 43.8 32.1 38.7 -1.14 49.1 50.0
Irene Maroto - 19 16.3 4.1 3.3 1.4 0.8 0.1 1.2 4.3 4.2 80 3.8 24.4 34.6 29.6 81.2 0.25 43.7 39.5
Nataley Armstrong - 17 20.5 3.6 1.7 2.2 1.0 0.1 2.1 3.8 2.6 21 1.1 6.4 30.8 35.0 70.0 -1.57 41.3 36.2
Katie Kaufman - 8 7.6 3.0 0.9 0.1 0.2 0.1 1.1 1.8 1.5 10 1.2 16.4 50.0 0 71.4 -3.48 59.5 50.0
Alyssa Geiser - 14 9.0 2.2 1.1 0.4 0.6 0.0 0.5 2.0 1.8 10 0.6 12.3 32.1 33.3 75.0 -1.25 49.2 44.6
Kamryn Ruffin - 17 7.0 2.0 0.9 0.2 0.6 0.0 1.1 2.2 0.3 7 0.4 5.2 34.2 27.8 50.0 -1.88 41.8 40.8

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