(9) #56 Emory (11-10)

1447.58 (31)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
52 Virginia Tech Win 12-10 10.65 43 3.85% Counts Feb 2nd Florida Warm Up 2024
19 Washington University Loss 5-13 -7.3 112 3.85% Counts (Why) Feb 2nd Florida Warm Up 2024
4 Massachusetts Loss 6-13 7.5 47 3.85% Counts (Why) Feb 2nd Florida Warm Up 2024
185 South Florida Win 13-5 0.75 12 3.85% Counts (Why) Feb 3rd Florida Warm Up 2024
42 Michigan Win 12-11 9.76 170 3.85% Counts Feb 3rd Florida Warm Up 2024
7 Pittsburgh Loss 10-15 7.69 86 3.85% Counts Feb 3rd Florida Warm Up 2024
21 Tufts Loss 4-15 -8.76 79 3.85% Counts (Why) Feb 4th Florida Warm Up 2024
74 Cincinnati Win 13-10 11.6 6 4.58% Counts Feb 24th Easterns Qualifier 2024
169 Rutgers Win 11-6 2.3 29 4.33% Counts (Why) Feb 24th Easterns Qualifier 2024
28 North Carolina-Wilmington Loss 9-12 -2.8 109 4.58% Counts Feb 24th Easterns Qualifier 2024
68 James Madison Win 10-9 2.61 20 4.58% Counts Feb 24th Easterns Qualifier 2024
57 Auburn Loss 10-11 -6.02 7 4.58% Counts Feb 25th Easterns Qualifier 2024
27 Georgia Tech Loss 7-15 -14.75 17 4.58% Counts (Why) Feb 25th Easterns Qualifier 2024
52 Virginia Tech Win 10-9 7.34 43 4.58% Counts Feb 25th Easterns Qualifier 2024
60 Temple Loss 8-13 -24.41 34 4.58% Counts Feb 25th Easterns Qualifier 2024
85 Carnegie Mellon Win 15-12 11.15 20 6.11% Counts Mar 30th Atlantic Coast Open 2024
58 Maryland Loss 11-14 -20.7 25 6.11% Counts Mar 30th Atlantic Coast Open 2024
90 SUNY-Buffalo Win 12-11 -3.1 72 6.11% Counts Mar 30th Atlantic Coast Open 2024
126 Lehigh Win 14-10 6.28 13 6.11% Counts Mar 30th Atlantic Coast Open 2024
61 William & Mary Loss 14-15 -9.15 50 6.11% Counts Mar 31st Atlantic Coast Open 2024
58 Maryland Win 15-12 19.26 25 6.11% Counts Mar 31st Atlantic Coast Open 2024
**Blowout Eligible. Learn more about how this works here.

FAQ

The results on this page ("USAU") are the results of an implementation of the USA Ultimate Top 20 algorithm, which is used to allocate post season bids to both colleg and club ultimate teams. The data was obtained by scraping USAU's score reporting website. Learn more about the algorithm here. TL;DR, here is the rating function. Every game a team plays gets a rating equal to the opponents rating +/- the score value. With all these data points, we iterate team ratings until convergence. There is also a rule for discounting blowout games (see next FAQ)
For reference, here is handy table with frequent game scrores and the resulting game value:
"...if a team is rated more than 600 points higher than its opponent, and wins with a score that is more than twice the losing score plus one, the game is ignored for ratings purposes. However, this is only done if the winning team has at least N other results that are not being ignored, where N=5."

Translation: if a team plays a game where even earning the max point win would hurt them, they can have the game ignored provided they win by enough and have suffficient unignored results.