(22) #301 Salisbury (8-11)

653.13 (241)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
84 Brandeis** Loss 4-13 0 115 0% Ignored (Why) Feb 23rd Oak Creek Challenge 2019
292 Navy Win 13-8 36.74 33 6.31% Counts Feb 23rd Oak Creek Challenge 2019
158 Lehigh Loss 3-13 -8.35 18 6.31% Counts (Why) Feb 23rd Oak Creek Challenge 2019
174 Cedarville Loss 1-13 -12.5 114 6.31% Counts (Why) Feb 23rd Oak Creek Challenge 2019
166 Virginia Commonwealth Loss 5-15 -10.86 92 6.31% Counts (Why) Feb 24th Oak Creek Challenge 2019
250 Maryland-Baltimore County Loss 10-15 -16.92 190 6.31% Counts Feb 24th Oak Creek Challenge 2019
245 Stevens Tech Loss 2-13 -28.71 37 7.08% Counts (Why) Mar 9th Atlantic City 9
153 SUNY-Albany Loss 1-13 -7.78 109 7.08% Counts (Why) Mar 9th Atlantic City 9
95 Bates College** Loss 3-13 0 182 0% Ignored (Why) Mar 9th Atlantic City 9
252 SUNY-Cortland Loss 2-13 -31.06 50 7.08% Counts (Why) Mar 10th Atlantic City 9
397 SUNY-Albany-B Win 9-7 -9.26 164 6.49% Counts Mar 10th Atlantic City 9
245 Stevens Tech Loss 5-13 -28.71 37 7.08% Counts (Why) Mar 10th Atlantic City 9
426 Sacred Heart** Win 13-4 0 322 0% Ignored (Why) Mar 30th Garden State 9
440 Lancaster Bible** Win 13-2 0 204 0% Ignored (Why) Mar 30th Garden State 9
387 Princeton-B Win 13-7 17.08 8.42% Counts (Why) Mar 30th Garden State 9
335 College of New Jersey Win 13-8 35.31 278 8.42% Counts Mar 30th Garden State 9
245 Stevens Tech Win 12-11 31.99 37 8.42% Counts Mar 31st Garden State 9
343 Dickinson Win 12-7 34.89 132 8.42% Counts (Why) Mar 31st Garden State 9
60 Bryant University** Loss 1-13 0 77 0% Ignored (Why) Mar 31st Garden State 9
**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.