🐻⬇️🏀

Gallaudet

Also known as: Gallaudet
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 → 899 (#405) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 822 (#525) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 919 (#592) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -29.0 (#389) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -27.8 (#662) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.426 (#481) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -28.4 More → 0.012 (#553) NetEff -28.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -24.8 More → 0.054 (#596) AdjNet -24.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -25.9 More → 0.045 (#600) AdjNet -25.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 57.8 | AdjD 73.6 More → 0.192 (#592) AdjO 57.8 | AdjD 73.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 50.6 | AdjD 65.0 More → 0.213 (#659) AdjO 50.6 | AdjD 65.0
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 → 0.108 (#657) 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 → 0.121 (#654) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 107 | GP 20 More → 820 (#481) RD 107 | GP 20

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-09 vs Washington Adventist L 56 - 93
2025-11-15 vs Penn St.-Abington L 55 - 78
2025-11-19 @ Widener L 40 - 65
2025-11-22 @ Brooklyn L 40 - 76
2025-11-25 @ Marymount (VA) W 62 - 61
2025-11-29 @ Salisbury L 40 - 114
2025-12-01 vs St. Mary's (MD) L 48 - 70
2025-12-03 @ St. Mary's (MD) L 43 - 84
2025-12-15 @ Randolph L 58 - 84
2026-01-10 @ Penn St. Harrisburg L 75 - 78
2026-01-13 vs Lancaster Bible W 63 - 50
2026-01-17 @ Keystone W 50 - 41
2026-01-21 @ Penn St.-Berks L 55 - 58
2026-01-24 vs Wilson L 53 - 62
2026-01-29 vs Trinity Washington W 68 - 30
2026-01-31 vs Valley Forge W 78 - 21
2026-02-04 @ Cairn W 67 - 48
2026-02-07 @ Penn St.-Abington L 33 - 91

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%
Natalie Greene - 15 25.5 15.5 8.2 0.9 1.2 0.6 2.9 14.8 8.6 -90 -9.0 -88.5 40.1 0.0 64.3 0.68 44.8 40.1
Sunita Schimdjorg - 1 27.0 13.0 2.0 2.0 1.0 0.0 5.0 9.0 4.0 - - - 55.6 33.3 33.3 - 55.8 61.1
Mackenzie Schirg - 18 31.2 11.9 8.4 1.5 1.1 0.3 2.9 11.8 8.5 -137 -9.1 -125.9 38.0 25.5 69.5 -2.95 45.0 40.8
Sophia Wascher - 15 29.8 8.6 6.3 1.0 1.5 0.0 4.4 8.1 5.0 -79 -6.1 -68.2 41.3 0 53.7 1.2 44.6 41.3
Sunita Schmidjorg - 8 27.0 7.5 4.2 4.9 3.2 0.0 2.0 7.8 10.1 -58 -8.3 -49.9 38.7 31.6 75.0 -0.13 45.8 43.5
Seanna Baird - 18 29.1 6.1 2.5 2.9 1.6 0.1 4.9 7.6 0.7 -197 -14.1 -148.1 31.6 31.9 75.0 -0.45 38.9 37.1
Kayla Debrow - 10 22.0 5.5 9.3 1.2 0.8 2.3 2.8 5.4 10.9 12 0.7 10.5 29.6 0.0 65.7 -2.6 39.6 29.6
Tiana Starayev - 11 21.7 2.0 2.1 1.8 0.7 0.1 4.5 3.5 -1.4 -98 -12.2 -171.8 23.1 0.0 50.0 -2.55 25.9 23.1
Evangeline Diaz - 18 21.0 1.9 1.7 0.7 1.2 0.2 3.3 2.6 -0.2 -70 -3.9 -98.1 25.5 28.6 66.7 -2.94 34.2 31.9
Kate Aquino Uribe - 15 18.7 1.9 3.1 0.5 0.5 0.6 1.7 2.9 2.0 -107 -9.7 -125.1 30.2 0 30.0 -3.48 30.6 30.2
Mariyah Saldana - 8 9.3 1.2 1.9 0.2 0.0 0.0 1.0 1.6 0.8 -60 -12.0 -325.1 30.8 25.0 25.0 -1.85 33.9 34.6
Hadassah Sklar - 8 6.4 0.5 1.0 0.2 0.4 0.0 0.6 1.8 -0.2 -30 -6.0 -90.3 14.3 0.0 0 -1.66 14.3 14.3
Dev Sklar - 9 3.6 0.4 0.8 0.3 0.1 0.0 0.7 0.9 0.1 -27 -6.8 -109.5 25.0 0.0 0.0 -2.95 22.5 25.0
Shanice Walters - 8 4.7 0.0 0.4 0.1 0.1 0.0 0.5 0.8 -0.6 - - - 0.0 0.0 0 - 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