(22) #220 Swarthmore (12-9)

710.26 (85)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
323 Princeton-B Win 13-9 -3.42 57 3.73% Counts Feb 26th Bring The Huckus 12
252 Penn State-B Loss 6-15 -26.73 93 3.73% Counts (Why) Feb 26th Bring The Huckus 12
273 Connecticut-B Win 12-7 12.17 47 3.73% Counts (Why) Feb 26th Bring The Huckus 12
111 Ithaca Loss 6-10 -2.68 34 3.43% Counts Feb 27th Bring The Huckus 12
311 Edinboro Win 9-4 5.79 63 3.09% Counts (Why) Feb 27th Bring The Huckus 12
247 Dartmouth-B Loss 7-15 -31.34 138 4.44% Counts (Why) Mar 19th Jersey Devil
311 Edinboro Win 15-5 8.44 63 4.44% Counts (Why) Mar 19th Jersey Devil
119 Yale Loss 9-10 12.78 53 4.44% Counts Mar 19th Jersey Devil
291 Haverford Win 15-7 13.75 47 4.44% Counts (Why) Mar 20th Jersey Devil
308 Dickinson Win 15-9 5.46 49 4.7% Counts Mar 26th Layout Pigout 2022
97 Williams Loss 5-15 -5.38 32 4.7% Counts (Why) Mar 26th Layout Pigout 2022
135 Scranton Loss 6-14 -16.21 51 5.59% Counts (Why) Apr 16th East Penn D III College Mens CC 2022
357 Lehigh-B** Win 15-5 0 38 0% Ignored (Why) Apr 16th East Penn D III College Mens CC 2022
291 Haverford Win 15-9 12.53 47 5.59% Counts Apr 16th East Penn D III College Mens CC 2022
233 Shippensburg Win 15-10 28.12 61 6.28% Counts Apr 30th Ohio Valley D III College Mens Regionals 2022
212 Kenyon Loss 9-15 -33.56 46 6.28% Counts Apr 30th Ohio Valley D III College Mens Regionals 2022
134 Oberlin Loss 9-15 -12.09 51 6.28% Counts Apr 30th Ohio Valley D III College Mens Regionals 2022
324 Xavier Win 15-8 3.47 37 6.28% Counts (Why) Apr 30th Ohio Valley D III College Mens Regionals 2022
135 Scranton Loss 12-15 1.73 51 6.28% Counts May 1st Ohio Valley D III College Mens Regionals 2022
227 Franciscan Win 15-12 18.79 40 6.28% Counts May 1st Ohio Valley D III College Mens Regionals 2022
215 Wooster Win 12-11 8.72 3 6.28% Counts May 1st Ohio Valley D III College Mens Regionals 2022
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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.