(20) #224 Bird Patrol (4-15)

262.11 (179)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
225 Flying Dutchmen Loss 13-14 -7.58 87 5.14% Counts Jun 22nd SCINNY 2019
185 A-Block Loss 13-15 4.18 122 5.14% Counts Jun 22nd SCINNY 2019
137 Babe Loss 8-15 0.81 44 5.14% Counts Jun 22nd SCINNY 2019
201 Flying Pig Loss 10-12 -2.45 109 5.14% Counts Jun 22nd SCINNY 2019
179 Chimney Loss 9-14 -8.14 187 5.14% Counts Jun 23rd SCINNY 2019
82 Black Lung** Loss 5-15 0 120 0% Ignored (Why) Jun 23rd SCINNY 2019
242 Flying Piglet Win 15-7 0 179 5.14% Counts (Why) Jun 23rd SCINNY 2019
169 MomINtuM Loss 6-13 -17.2 139 8.3% Counts (Why) Aug 24th Indy Invite Club 2019
99 Black Market II** Loss 1-13 0 32 0% Ignored (Why) Aug 24th Indy Invite Club 2019
125 Dynasty Loss 6-13 4.18 78 8.3% Counts (Why) Aug 24th Indy Invite Club 2019
169 MomINtuM Loss 8-15 -14.01 139 8.3% Counts Aug 25th Indy Invite Club 2019
149 Ditto A Loss 6-15 -7.89 146 8.3% Counts (Why) Aug 25th Indy Invite Club 2019
231 Black Market III Win 10-9 -0.15 66 8.3% Counts Aug 25th Indy Invite Club 2019
222 Nasty Girls Win 13-9 42.66 9.23% Counts Sep 7th Central Plains Mens Club Sectional Championship 2019
47 Haymaker** Loss 2-13 0 40 0% Ignored (Why) Sep 7th Central Plains Mens Club Sectional Championship 2019
99 Black Market II** Loss 2-13 0 32 0% Ignored (Why) Sep 7th Central Plains Mens Club Sectional Championship 2019
30 Black Market I** Loss 4-13 0 0 0% Ignored (Why) Sep 7th Central Plains Mens Club Sectional Championship 2019
169 MomINtuM Loss 7-15 -19.33 139 9.23% Counts (Why) Sep 8th Central Plains Mens Club Sectional Championship 2019
231 Black Market III Win 15-11 25.88 66 9.23% Counts Sep 8th Central Plains Mens Club Sectional Championship 2019
**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.