🐻⬇️🏀

Brooklyn

Also known as: Brooklyn
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 → 1119 (#50) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1190 (#61) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1200 (#26) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +3.8 (#151) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +14.0 (#171) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.906 (#242) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +20.1 More → 0.963 (#120) NetEff +20.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.1 More → 0.412 (#407) AdjNet -3.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.4 More → 0.400 (#407) AdjNet -3.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 58.9 | AdjD 62.4 More → 0.420 (#423) AdjO 58.9 | AdjD 62.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.6 | AdjD 54.6 More → 0.837 (#40) AdjO 72.6 | AdjD 54.6
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 → 0.823 (#120) 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 → 0.839 (#106) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 115 | GP 22 More → 1268 (#36) RD 115 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Sarah Lawrence W 77 - 51
2025-11-12 vs Yeshiva W 82 - 32
2025-11-14 @ Manhattanville W 72 - 66
2025-11-18 vs Kean W 78 - 61
2025-11-22 vs Gallaudet W 76 - 40
2025-11-25 vs Colby L 49 - 54
2025-12-09 vs Stevens L 38 - 61
2025-12-13 @ NYU L 48 - 90
2025-12-29 vs Mary Washington W 75 - 65
2025-12-30 @ Moravian W 79 - 74
2026-01-14 @ Hunter W 66 - 59
2026-01-16 vs John Jay W 81 - 60
2026-01-21 @ York (NY) W 97 - 34
2026-01-23 vs Lehman W 84 - 65
2026-01-30 @ Baruch W 86 - 55
2026-02-03 vs Medgar Evers W 90 - 46
2026-02-05 @ New Jersey City W 89 - 66
2026-02-06 @ CCNY W 86 - 25

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%
Anna Kitch - 17 27.5 11.4 9.8 1.7 1.7 0.2 2.8 9.8 12.2 243 11.6 88.1 41.3 35.6 78.9 1.26 52.8 49.1
Brianna Jackson - 17 28.7 11.2 4.0 6.3 3.5 0.1 3.5 11.2 10.4 198 9.9 66.2 37.4 29.0 78.9 3.95 46.0 42.1
Blessings Joseph-Pascall - 1 26.0 11.0 5.0 2.0 2.0 0.0 4.0 11.0 5.0 3 0.3 1.0 36.4 0 60.0 0.66 41.7 36.4
Dior Dorsey - 17 24.7 10.2 5.5 2.7 2.1 0.6 1.5 9.2 10.4 247 11.8 81.4 45.9 18.2 56.0 2.08 48.6 46.5
Sheily Quezada - 15 22.6 9.0 7.9 0.4 1.4 2.4 1.6 9.5 10.1 73 4.1 48.0 40.8 0 76.0 -0.13 44.1 40.8
Ameea Daniel - 10 16.7 8.3 4.4 0.8 1.4 0.4 1.5 8.1 5.7 101 7.2 66.5 33.3 18.5 64.9 1.16 42.7 36.4
Joscelyn Ramos - 1 30.0 7.0 1.0 1.0 0.0 0.0 5.0 10.0 -6.0 -136 -8.5 -41.8 30.0 33.3 0 -3.91 35.0 35.0
Adunoluwa Akinduyi - 14 18.8 6.6 3.2 1.2 1.4 0.0 1.9 7.8 2.7 143 7.5 74.6 34.9 30.8 16.7 0.9 41.7 42.2
Aaliyah McCalla - 17 17.6 6.3 1.8 1.5 1.7 0.1 2.2 6.3 3.0 175 8.3 105.0 34.6 27.3 77.8 2.89 45.0 40.2
Victoria Kantzian - 12 11.2 4.2 1.1 0.6 0.7 0.0 1.4 4.8 0.3 -15 -1.0 -12.0 27.6 26.3 90.0 -1.22 40.9 36.2
Jessica Herft - 10 6.8 4.0 0.5 0.6 0.2 0.0 1.1 3.1 1.1 15 1.2 21.0 41.9 38.9 100.0 -0.68 58.7 53.2
Yazmin Loma romero - 1 23.0 4.0 0.0 1.0 0.0 0.0 3.0 5.0 -3.0 -142 -8.9 -53.1 40.0 0 0 -4.01 40.0 40.0
Danae McMullen - 15 12.8 3.9 4.0 0.3 0.9 0.5 1.3 4.2 4.1 121 6.4 69.3 39.7 0.0 75.0 4.09 43.2 39.7
Ariel Williams - 17 13.3 3.7 3.2 0.7 0.9 0.2 1.4 3.5 3.8 114 5.4 72.6 45.0 0 64.3 1.01 47.6 45.0
Cheyenne Castellano - 11 7.4 2.5 1.4 0.5 0.4 0.1 0.9 2.0 1.9 47 3.1 57.6 45.5 37.5 50.0 1.42 59.0 59.1
Fatou Sagna - 11 8.2 2.2 3.1 0.2 0.5 0.4 0.8 1.6 3.8 60 4.3 47.9 61.1 0 100.0 -0.01 63.6 61.1
Ashley Subervi - 1 25.0 2.0 3.0 0.0 0.0 0.0 3.0 6.0 -4.0 -132 -9.4 -37.4 16.7 0 0 -2.23 16.7 16.7
Paige Smith - 3 3.1 1.3 1.7 0.0 0.0 0.0 0.3 1.0 1.7 5 1.7 108.1 66.7 0 0.0 0.02 58.1 66.7
Sandra Diaz - 11 7.2 1.2 0.6 1.1 0.9 0.1 0.9 2.0 1.0 66 4.4 77.6 22.7 14.3 40.0 1.1 26.9 25.0
Amanda Fisher - 1 33.0 1.0 5.0 1.0 3.0 2.0 7.0 5.0 0.0 -101 -7.2 -33.7 0.0 0 50.0 -0.52 8.5 0.0
Audrey Waldvogel - 12 6.3 0.8 0.3 1.0 0.5 0.0 0.8 1.8 0.0 -7 -0.5 -12.0 9.1 7.1 62.5 -1.53 19.6 11.4
Elizabeth Herrera - 1 10.0 0.0 2.0 0.0 1.0 0.0 6.0 1.0 -4.0 -137 -13.7 -70.9 0.0 0.0 0 -6.03 0.0 0.0
Eliana Saquicili - 1 16.0 0.0 1.0 3.0 0.0 0.0 4.0 1.0 -1.0 -48 -4.8 -43.4 0.0 0.0 0 -0.41 0.0 0.0
Ashley Colon - 1 26.0 0.0 2.0 0.0 1.0 0.0 2.0 5.0 -4.0 -156 -11.1 -42.0 0.0 0.0 0 -2.77 0.0 0.0
Erisairy Calderon - 1 7.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 -92 -9.2 -98.4 0.0 0 0 -3.3 0.0 0.0
Nicole Garcia - 1 4.0 0.0 1.0 0.0 0.0 0.0 2.0 2.0 -3.0 -65 -7.2 -118.0 0.0 0 0 -2.6 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