(28) #147 Maryland-Baltimore County (10-11)

1315.87 (388)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
226 American Win 11-7 6.9 301 3.61% Counts Feb 24th Monument Melee
289 Drexel Win 13-5 2.07 296 3.71% Counts (Why) Feb 24th Monument Melee
204 Virginia Commonwealth Loss 7-11 -25.29 323 3.61% Counts Feb 24th Monument Melee
226 American Win 10-8 -0.75 301 3.61% Counts Feb 25th Monument Melee
217 George Washington Win 9-8 -4.82 255 3.51% Counts Feb 25th Monument Melee
170 Villanova Loss 6-10 -19.75 293 3.41% Counts Feb 25th Monument Melee
77 Carnegie Mellon Loss 8-11 -3.03 289 3.93% Counts Mar 2nd Oak Creek Challenge 2024
162 Rutgers Win 10-9 3.75 331 3.93% Counts Mar 2nd Oak Creek Challenge 2024
150 West Chester Win 11-9 10.15 288 3.93% Counts Mar 2nd Oak Creek Challenge 2024
77 Carnegie Mellon Loss 9-13 -5.2 289 3.93% Counts Mar 3rd Oak Creek Challenge 2024
126 Towson Loss 10-13 -10.43 272 3.93% Counts Mar 3rd Oak Creek Challenge 2024
166 RIT Win 11-10 3.15 303 3.93% Counts Mar 3rd Oak Creek Challenge 2024
226 American Win 10-7 6.31 301 5.57% Counts Apr 20th Colonial D I Mens Conferences 2024
148 Johns Hopkins Win 8-7 6.86 296 5.24% Counts Apr 20th Colonial D I Mens Conferences 2024
64 Maryland Loss 11-12 14.84 235 5.89% Counts Apr 20th Colonial D I Mens Conferences 2024
87 Georgetown Loss 6-15 -22.63 189 5.89% Counts (Why) Apr 21st Colonial D I Mens Conferences 2024
126 Towson Win 13-12 12.41 272 5.89% Counts Apr 21st Colonial D I Mens Conferences 2024
50 Duke Loss 14-15 23.49 182 6.61% Counts May 4th Atlantic Coast D I College Mens Regionals 2024
27 North Carolina-Wilmington Loss 8-15 8.12 261 6.61% Counts May 4th Atlantic Coast D I College Mens Regionals 2024
64 Maryland Loss 8-12 -5.6 235 6.61% Counts May 4th Atlantic Coast D I College Mens Regionals 2024
87 Georgetown Loss 11-13 0.69 189 6.61% Counts May 5th Atlantic Coast D I College Mens Regionals 2024
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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.