(1) #73 Swans (24-18)

1183.51 (4)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
18 Yogosbo Loss 5-13 -1.2 6 1.75% Counts (Why) Jun 29th Spirit of the Plains 2019
103 Imperial Win 10-7 4.03 4 1.65% Counts Jun 29th Spirit of the Plains 2019
191 Yacht Club Win 13-9 -4.22 4 1.75% Counts Jun 29th Spirit of the Plains 2019
25 General Strike Loss 8-11 0.89 2 1.75% Counts Jun 30th Spirit of the Plains 2019
45 Mallard Loss 7-10 -2.96 4 1.65% Counts Jun 30th Spirit of the Plains 2019
177 Red Bat Win 10-3 0.45 4 1.53% Counts (Why) Jun 30th Spirit of the Plains 2019
57 Cryptic Win 11-10 4.35 4 1.75% Counts Jun 30th Spirit of the Plains 2019
71 Dreadnought Loss 7-9 -5.29 2 1.91% Counts Jul 20th The Royal Experience 2019
191 Yacht Club Win 11-5 -1.09 4 1.91% Counts (Why) Jul 20th The Royal Experience 2019
219 Tsunami B Win 11-5 -5.37 4 1.91% Counts (Why) Jul 20th The Royal Experience 2019
137 Kansas City Smokestack Win 11-2 5.61 4 1.91% Counts (Why) Jul 20th The Royal Experience 2019
123 CaSTLe Win 15-9 5.42 4 2.08% Counts Jul 21st The Royal Experience 2019
76 DeMo Win 15-14 2.38 4 2.08% Counts Jul 21st The Royal Experience 2019
59 Scythe Win 15-13 6.65 4 2.08% Counts Jul 21st The Royal Experience 2019
156 Ditto A Win 13-7 2.86 5 2.33% Counts (Why) Aug 3rd Heavyweights 2019
196 Carolina Sky** Win 13-5 0 4 0% Ignored (Why) Aug 3rd Heavyweights 2019
122 Satellite Win 13-6 8.18 4 2.33% Counts (Why) Aug 3rd Heavyweights 2019
46 Haymaker Loss 9-13 -4.9 11 2.33% Counts Aug 4th Heavyweights 2019
116 Timber Win 13-7 8.18 4 2.33% Counts (Why) Aug 4th Heavyweights 2019
80 ISO Atmo Win 13-10 6.96 5 2.33% Counts Aug 4th Heavyweights 2019
18 Yogosbo Loss 8-13 0.87 6 2.33% Counts Aug 4th Heavyweights 2019
46 Haymaker Win 12-11 9.09 11 2.62% Counts Aug 17th Cooler Classic 31
97 THE BODY Loss 8-13 -16.93 5 2.62% Counts Aug 17th Cooler Classic 31
59 Scythe Win 13-11 8.82 4 2.62% Counts Aug 17th Cooler Classic 31
30 Mad Men Win 7-6 9.68 3 2.16% Counts Aug 18th Cooler Classic 31
96 HouSE Win 11-5 11.54 4 2.4% Counts (Why) Aug 18th Cooler Classic 31
43 MKE Loss 2-11 -9.16 3 2.4% Counts (Why) Aug 18th Cooler Classic 31
223 Fargoats** Win 11-2 0 4 0% Ignored (Why) Sep 7th Northwest Plains Mens Club Sectional Championship 2019
30 Mad Men Loss 8-11 -1.7 3 3.11% Counts Sep 7th Northwest Plains Mens Club Sectional Championship 2019
103 Imperial Win 11-8 6.94 4 3.11% Counts Sep 7th Northwest Plains Mens Club Sectional Championship 2019
25 General Strike Loss 8-11 1.62 2 3.11% Counts Sep 8th Northwest Plains Mens Club Sectional Championship 2019
45 Mallard Win 14-13 10.88 4 3.11% Counts Sep 8th Northwest Plains Mens Club Sectional Championship 2019
169 DINGWOP Win 11-6 1.11 4 2.94% Counts (Why) Sep 8th Northwest Plains Mens Club Sectional Championship 2019
43 MKE Loss 5-10 -9.84 3 2.76% Counts Sep 8th Northwest Plains Mens Club Sectional Championship 2019
30 Mad Men Loss 7-11 -5.43 3 3.4% Counts Sep 21st North Central Club Mens Regional Championship
45 Mallard Loss 6-11 -11.38 4 3.3% Counts Sep 21st North Central Club Mens Regional Championship
76 DeMo Loss 8-11 -13.69 4 3.49% Counts Sep 21st North Central Club Mens Regional Championship
57 Cryptic Loss 8-11 -8.89 4 3.49% Counts Sep 21st North Central Club Mens Regional Championship
18 Yogosbo Loss 4-11 -2.23 6 3.21% Counts (Why) Sep 21st North Central Club Mens Regional Championship
32 Prairie Fire Loss 9-15 -7.79 3 3.49% Counts Sep 22nd North Central Club Mens Regional Championship
116 Timber Win 15-13 -0.02 4 3.49% Counts Sep 22nd North Central Club Mens Regional Championship
76 DeMo Loss 14-15 -4.98 4 3.49% Counts Sep 22nd North Central Club Mens Regional Championship
**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.