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Emory

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2016 2015
Also known as: Emory
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 → 1113 (#57) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1255 (#29) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1031 (#243) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +28.1 (#7) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +24.4 (#96) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.837 (#277) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +24.6 More → 0.962 (#121) NetEff +24.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +28.8 More → 0.966 (#155) AdjNet +28.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +28.5 More → 0.967 (#155) AdjNet +28.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.3 | AdjD 55.7 More → 0.844 (#152) AdjO 74.3 | AdjD 55.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.5 | AdjD 51.0 More → 0.842 (#37) AdjO 69.5 | AdjD 51.0
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 → 0.892 (#70) 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 → 0.881 (#71) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 108 | GP 19 More → 1194 (#71) RD 108 | GP 19

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Trinity (TX) W 85 - 58
2025-11-09 @ Mary Hardin-Baylor W 80 - 59
2025-11-15 vs Randolph-Macon W 68 - 59
2025-11-16 vs Dickinson W 82 - 55
2025-11-23 vs Rhodes W 102 - 60
2025-11-25 vs Agnes Scott W 118 - 51
2025-12-03 vs LaGrange W 75 - 48
2026-01-10 @ Rochester (NY) W 65 - 59
2026-01-16 @ Brandeis L 56 - 62
2026-01-18 @ NYU L 66 - 93
2026-01-23 vs CWRU W 90 - 46
2026-01-30 @ WashU L 56 - 67
2026-02-01 @ UChicago L 42 - 54
2026-02-06 vs WashU L 56 - 63
2026-02-08 vs UChicago L 29 - 29

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%
Tatum Olson - 14 26.6 14.9 4.1 1.3 1.5 0.1 1.9 11.9 8.2 76 4.2 14.2 46.4 49.3 73.1 -0.38 58.6 56.9
Annabelle Spotts - 1 34.6 12.0 6.0 2.0 0.0 0.0 2.0 12.0 6.0 90 4.7 14.1 41.7 0 100.0 -0.11 46.6 41.7
Alexandra Loucopoulos - 14 23.4 11.3 3.5 1.5 1.6 0.8 2.3 10.5 5.9 166 9.2 36.2 40.8 35.0 70.8 5.11 50.1 48.0
Mary Mullinax - 14 26.3 10.9 6.9 2.4 1.0 0.3 2.3 9.2 10.0 156 8.7 32.2 45.0 33.3 82.8 2.51 53.6 49.6
Caroline Workman - 1 32.9 9.0 4.0 2.0 3.0 1.0 1.0 5.0 13.0 101 5.3 16.8 80.0 50.0 0 2.09 90.0 90.0
Kasi Samuda - 1 21.7 9.0 10.0 2.0 0.0 1.0 0.0 9.0 13.0 110 6.1 22.0 33.3 0 75.0 1.45 41.8 33.3
Riley Allen - 8 16.2 8.6 4.1 0.6 0.4 0.1 0.8 8.5 4.6 121 11.0 166.3 35.3 33.9 50.0 2.86 49.5 49.3
Chris Sanders - 1 36.7 7.0 2.0 0.0 1.0 0.0 0.0 10.0 0.0 91 4.8 13.6 30.0 25.0 0.0 1.28 33.5 35.0
Mia Strazza - 14 23.1 6.8 2.1 3.1 1.1 0.3 2.4 5.6 5.4 89 4.9 20.1 40.5 26.8 64.5 0.12 51.3 47.5
Lily Kennedy - 14 21.0 5.4 4.7 0.9 0.9 0.4 1.0 5.4 5.9 119 6.6 28.8 38.2 30.0 68.8 1.6 45.2 42.1
Kate Gross - 1 38.1 5.0 0.0 1.0 1.0 1.0 2.0 11.0 -5.0 125 6.6 21.1 9.1 12.5 100.0 1.3 21.0 13.6
Caroline Connelly - 14 18.4 4.8 5.1 1.1 0.6 1.1 1.1 4.1 7.5 96 5.3 24.8 50.9 0.0 81.8 2.41 54.2 50.9
Alexis Clark - 1 18.3 4.0 5.0 0.0 0.0 0.0 2.0 3.0 4.0 80 4.2 29.3 33.3 0 100.0 0.46 51.5 33.3
Bri Simpson - 1 13.4 4.0 2.0 1.0 1.0 0.0 2.0 4.0 2.0 69 3.8 17.2 50.0 0 0 2.44 50.0 50.0
Chloe Kreusser - 14 16.4 3.9 3.7 1.1 1.1 0.5 0.5 2.7 7.1 95 5.3 42.6 63.2 0 42.9 0.09 61.1 63.2
Lauren Walsh - 14 8.5 3.9 1.0 0.5 1.2 0.0 0.5 3.2 2.9 13 0.8 7.7 42.2 40.9 58.3 -0.66 53.7 52.2
Savannah Seawell - 8 7.0 3.9 2.6 0.9 0.1 0.6 0.2 3.5 4.4 42 4.7 97.6 50.0 0 37.5 -0.3 49.2 50.0
Emma Starr - 14 14.2 2.9 1.4 3.2 0.4 0.1 1.8 2.7 3.5 141 7.8 65.0 28.9 30.0 86.7 2.33 46.0 36.8
Serene Exalant - 2 4.2 2.5 1.0 1.0 0.5 0.5 1.0 1.0 3.5 1 0.3 9.7 100.0 0 100.0 0.27 102.5 100.0
Katherine Martini - 4 6.6 2.0 1.0 0.0 0.2 0.2 0.5 2.8 0.2 -1 -0.2 -1.7 36.4 0 0 0.83 36.4 36.4
Karen Xin - 1 3.3 2.0 0.0 1.0 0.0 0.0 1.0 3.0 -1.0 52 2.7 43.4 33.3 0.0 0.0 1.02 29.1 33.3
Sydney Cummings - 7 5.7 1.7 0.9 0.3 0.1 0.0 0.4 1.9 0.7 27 3.4 99.8 30.8 25.0 50.0 -0.53 43.2 42.3
Christina Psarros - 8 6.3 1.5 1.2 0.6 0.5 0.0 0.2 1.9 1.8 33 4.1 107.6 20.0 22.2 80.0 -1.01 34.9 26.7
Ruiqi Liu - 1 0.9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 28 1.6 30.9 0 0 0 0.18 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