(13) #198 Birds of Paradise (7-11)

698.26 (216)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
259 Party Cats-D Win 10-7 2.81 81 5.04% Counts Jul 20th Revolution 2019
184 DR Win 9-8 9.7 80 5.04% Counts Jul 20th Revolution 2019
215 Megalodon Loss 8-12 -28.73 89 5.33% Counts Jul 20th Revolution 2019
176 Spoiler Alert Loss 9-12 -14.76 87 5.33% Counts Jul 21st Revolution 2019
260 Happy Cows Win 10-7 2.43 113 5.04% Counts Jul 21st Revolution 2019
163 VU Loss 8-13 -18.22 142 5.33% Counts Jul 21st Revolution 2019
44 Pivot Loss 9-15 18.05 4 5.93% Counts Aug 3rd 4th Annual Coconino Classic 2019
69 Instant Karma** Loss 1-15 0 41 0% Ignored (Why) Aug 3rd 4th Annual Coconino Classic 2019
246 Rogue Loss 11-13 -29.82 187 5.93% Counts Aug 3rd 4th Annual Coconino Classic 2019
239 Fear and Loathing Win 13-10 6.82 97 5.93% Counts Aug 4th 4th Annual Coconino Classic 2019
179 Long Beach Legacy Loss 4-13 -33.05 39 5.93% Counts (Why) Aug 4th 4th Annual Coconino Classic 2019
246 Rogue Win 11-6 23.89 187 7.32% Counts (Why) Sep 7th So Cal Mixed Club Sectional Championship 2019
101 Robot Loss 8-10 16.86 17 7.53% Counts Sep 7th So Cal Mixed Club Sectional Championship 2019
102 Family Style Loss 4-13 -10.96 48 7.74% Counts (Why) Sep 7th So Cal Mixed Club Sectional Championship 2019
29 Lotus** Loss 4-13 0 39 0% Ignored (Why) Sep 7th So Cal Mixed Club Sectional Championship 2019
179 Long Beach Legacy Win 13-6 56.67 39 7.74% Counts (Why) Sep 8th So Cal Mixed Club Sectional Championship 2019
239 Fear and Loathing Win 13-6 31.89 97 7.74% Counts (Why) Sep 8th So Cal Mixed Club Sectional Championship 2019
176 Spoiler Alert Loss 6-10 -31.58 87 7.1% Counts Sep 8th So Cal Mixed 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.