🐻⬇️🏀

Roosevelt

Season: 2026 2025 2024 2023 2022
Also known as: Roosevelt
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 → 861 (#481) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 942 (#362) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 900 (#616) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +3.6 (#135) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -0.4 (#375) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.201 (#490) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -7.5 More → 0.269 (#342) NetEff -7.5
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -15.3 More → 0.139 (#386) NetEff -15.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +6.9 More → 0.687 (#325) AdjNet +6.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +7.4 More → 0.707 (#326) AdjNet +7.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.5 | AdjD 63.7 More → 0.606 (#322) AdjO 68.5 | AdjD 63.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.9 | AdjD 61.8 More → 0.435 (#490) AdjO 58.9 | AdjD 61.8
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 → 0.447 (#402) 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 → 0.431 (#415) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 21 More → 876 (#404) RD 99 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Mo.-St. Louis L 52 - 54
2025-11-15 vs Maryville (MO) L 38 - 52
2025-11-21 @ Malone L 57 - 83
2025-11-22 @ Walsh W 61 - 60
2025-11-25 @ Western Mich. W 82 - 70
2025-12-04 vs Michigan Tech L 48 - 64
2025-12-06 vs Northern Mich. L 82 - 83
2025-12-14 @ Ill. Springfield L 76 - 87
2025-12-16 @ Upper Iowa L 56 - 64
2025-12-20 vs Lewis L 51 - 59
2026-01-01 @ Wis.-Parkside W 69 - 68
2026-01-03 @ Ferris St. L 60 - 78
2026-01-10 vs Lake Superior St. L 52 - 57
2026-01-15 @ Purdue Northwest W 74 - 64
2026-01-17 @ Wayne St. (MI) L 50 - 78
2026-01-22 vs Davenport L 57 - 73
2026-01-24 vs Grand Valley St. L 37 - 75
2026-01-29 @ Lake Superior St. W 75 - 68
2026-01-31 @ Saginaw Valley L 50 - 59
2026-02-05 vs Wis.-Parkside W 59 - 53

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 27.0 29.0 6.0 3.0 2.0 1.0 2.0 15.0 24.0 129 7.6 42.9 60.0 60.0 80.0 1.2 74.7 70.0
Marie Outlay - 19 36.0 12.7 6.8 1.5 4.2 1.2 2.3 10.8 13.3 -130 -7.2 -38.7 34.6 29.6 75.0 -1.25 48.1 39.8
Isabella Pitta - 18 29.0 12.0 8.8 1.3 0.9 0.9 3.5 10.4 10.0 -65 -4.1 -32.3 41.5 15.6 69.7 0.95 48.8 43.4
Kadyn Blanchard - 1 26.0 12.0 6.0 2.0 0.0 0.0 2.0 10.0 8.0 143 8.4 43.4 50.0 0.0 100.0 0.33 55.1 50.0
Kelly Boyle - 19 34.4 11.9 1.9 3.1 0.9 0.1 3.2 11.6 3.3 -73 -3.8 -20.5 33.0 31.9 77.2 0.36 46.1 41.4
Mya Hiram - 1 24.0 10.0 13.0 2.0 2.0 0.0 0.0 13.0 14.0 105 6.2 41.0 23.1 0.0 66.7 0.52 32.0 23.1
Elle Irwin - 1 26.0 8.0 1.0 4.0 1.0 0.0 1.0 5.0 8.0 190 11.2 58.2 60.0 50.0 100.0 2.63 73.5 70.0
Isabel Lindo - 19 26.3 7.9 2.8 1.2 1.0 0.3 1.8 6.7 4.7 -24 -1.5 -7.7 40.6 40.4 77.8 0.74 52.5 48.0
Brynne Katcher - 19 26.9 5.0 5.2 1.3 0.8 0.5 1.7 6.1 5.1 -58 -3.4 -21.4 26.1 15.8 76.3 0.26 36.1 28.7
Charlotte Miller - 1 22.0 5.0 3.0 2.0 2.0 0.0 1.0 6.0 5.0 41 2.4 14.1 33.3 50.0 0 -1.48 41.7 41.7
Emma Schierbeek - 1 15.0 5.0 3.0 1.0 0.0 0.0 1.0 8.0 0.0 84 4.9 49.2 25.0 16.7 0 0.9 31.2 31.2
Aubrey Leonard - 19 18.5 4.8 2.3 1.3 0.8 0.2 1.7 5.8 1.9 -57 -3.4 -32.6 30.9 25.5 54.5 0.22 38.4 36.4
Ally Schultz - 1 15.0 3.0 1.0 1.0 0.0 0.0 1.0 1.0 3.0 23 1.4 18.4 100.0 100.0 0 0.89 150.0 150.0
Kencia Levasseur - 4 17.2 3.0 3.2 0.8 1.8 0.0 2.0 4.2 2.5 -16 -4.0 -10.7 29.4 0.0 50.0 0.7 32.0 29.4
Abby Bradbury - 4 3.5 2.2 0.2 0.2 0.2 0.0 0.2 2.5 0.2 11 1.8 22.8 30.0 28.6 100.0 0.55 43.1 40.0
Ava Brandenburg - 16 9.3 2.1 0.5 0.4 0.1 0.0 0.7 2.5 0.0 -45 -2.8 -62.6 27.5 21.4 75.0 -1.28 37.5 31.2
Mara Mitchell - 1 12.0 2.0 2.0 4.0 1.0 1.0 0.0 2.0 8.0 52 3.2 35.3 50.0 0.0 0 0.75 50.0 50.0
Melena Glysch - 1 4.0 2.0 2.0 0.0 0.0 1.0 0.0 2.0 3.0 40 2.9 47.0 50.0 0 0 1.61 50.0 50.0
Grace Lyons - 1 13.0 2.0 2.0 2.0 1.0 0.0 0.0 3.0 4.0 25 1.6 18.8 33.3 0.0 0 -1.84 33.3 33.3
Emma Yurich - 19 9.0 1.2 0.6 0.4 0.3 0.1 0.5 2.3 -0.3 -21 -1.2 -38.2 18.6 4.3 41.7 2.02 22.8 19.8
Nina Susic - 17 4.4 0.8 0.5 0.1 0.2 0.1 0.2 0.8 0.6 15 1.0 25.9 35.7 20.0 37.5 -0.63 40.0 39.3
Jacqui Lukic - 19 6.6 0.7 1.0 0.3 0.3 0.0 1.1 0.8 0.4 21 1.2 27.9 40.0 0.0 10.0 0.98 33.5 40.0
Claire Erickson - 1 16.0 0.0 5.0 1.0 1.0 4.0 0.0 1.0 10.0 -69 -3.8 -16.7 0.0 0 0 -0.6 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