🐻⬇️🏀

Keystone

Also known as: Keystone
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 → 959 (#320) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 662 (#590) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 773 (#704) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -43.7 (#418) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -41.2 (#700) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.388 (#500) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -23.6 More → 0.019 (#546) NetEff -23.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -46.8 More → 0.004 (#688) AdjNet -46.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -49.0 More → 0.003 (#689) AdjNet -49.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 47.0 | AdjD 75.9 More → 0.067 (#681) AdjO 47.0 | AdjD 75.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 41.9 | AdjD 70.7 More → 0.068 (#712) AdjO 41.9 | AdjD 70.7
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 → 0.021 (#713) 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 → 0.024 (#713) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 105 | GP 23 More → 649 (#558) RD 105 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Haverford L 42 - 86
2025-11-10 vs SUNY Geneseo L 15 - 84
2025-11-14 vs SUNY Poly L 52 - 60
2025-11-15 vs Clarkson L 33 - 70
2025-11-18 vs Rutgers-Newark L 53 - 77
2025-11-21 @ CCNY L 44 - 58
2025-11-24 @ Cedar Crest L 49 - 78
2025-11-30 vs King's (PA) L 41 - 65
2025-12-03 @ Cairn W 54 - 52
2025-12-13 @ Pratt W 77 - 50
2025-12-30 @ Elmira L 48 - 73
2025-12-31 vs Alfred St. L 35 - 61
2026-01-10 @ Lancaster Bible L 45 - 66
2026-01-13 vs Cedar Crest L 57 - 71
2026-01-17 vs Gallaudet L 41 - 50
2026-01-21 @ Penn St. Brandywine L 44 - 63
2026-01-24 vs Notre Dame (MD) L 34 - 75
2026-01-28 vs Penn St.-Berks W 65 - 43
2026-01-31 @ St. Mary's (MD) L 28 - 92
2026-02-07 @ Wilson L 43 - 75

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%
Aaliyah Barnes - 6 25.0 10.7 6.3 1.2 0.8 0.7 1.0 13.3 5.3 -71 -14.2 -38.7 32.5 21.2 55.6 -1.48 38.1 36.9
Krista Cortazar - 17 25.8 9.5 4.5 1.9 2.2 0.5 2.8 9.6 6.2 -124 -6.9 -50.3 36.8 32.9 56.0 2.09 46.3 45.1
Phaneirra Barnett - 19 29.6 7.8 8.4 0.5 1.4 0.8 1.8 9.8 7.3 -166 -8.7 -41.5 30.5 0.0 58.3 -1.69 34.9 30.5
Tayana Bibbins - 20 25.7 6.6 3.2 1.1 2.3 0.3 3.8 8.0 1.7 -233 -11.1 -55.3 30.6 15.2 54.5 -3.5 36.8 33.8
Jayda Price - 19 22.8 5.8 3.3 2.2 1.0 0.1 2.7 7.2 2.5 -228 -10.9 -56.2 33.1 27.0 57.9 -5.04 38.4 36.8
Hailee Hackett - 20 29.7 5.1 3.9 2.8 1.2 0.1 5.2 7.5 0.2 -234 -11.1 -46.4 23.8 19.0 48.4 -5.33 31.0 28.8
Angelise Sanchez - 13 26.4 4.8 2.1 1.4 0.6 0.2 1.6 7.6 -0.2 -121 -8.1 -44.6 22.2 23.3 33.3 -1.86 31.0 30.8
Aaliyah Pharr - 7 18.2 2.9 2.9 0.3 1.3 0.4 2.4 3.6 1.7 -37 -6.2 -26.0 24.0 0.0 40.0 -0.55 29.6 24.0
Daphney Cadichon - 12 15.7 2.5 2.0 0.7 0.4 0.0 2.5 4.3 -1.2 -30 -2.5 -106.4 17.3 20.0 87.5 -1.31 27.0 22.1
Alex Roos-Farmer - 20 15.8 1.8 2.1 0.3 0.6 0.1 1.4 2.9 0.6 -204 -9.7 -67.9 22.8 17.1 25.0 -4.54 28.9 28.9
Brookelin Murray - 9 8.7 1.2 1.0 0.0 0.3 0.0 0.6 1.7 0.3 -24 -2.7 -85.6 33.3 16.7 0 -2.4 36.7 36.7
Desiree Stamps - 13 4.7 0.9 0.7 0.2 0.2 0.0 0.4 1.9 -0.4 -36 -2.8 -41.8 16.0 18.8 50.0 -2.38 23.2 22.0
Clarissa Peterson - 14 10.2 0.6 2.9 0.3 0.0 0.1 0.9 0.9 2.1 -60 -3.8 -53.7 30.8 0 0.0 -1.28 29.8 30.8
Ayanna Sanders - 4 3.6 0.2 1.2 0.0 0.2 0.0 0.2 0.5 1.0 - - - 0.0 0 100.0 - 20.5 0.0
Josie Evans-Grant - 10 3.5 0.1 0.4 0.0 0.0 0.0 0.4 0.5 -0.4 -6 -0.5 -757.9 0.0 0 50.0 -0.12 8.5 0.0
Brooklyn Moore - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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