(1) #36 FAB (9-10)

1223.66 (19)

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# Opponent Result Effect % of Ranking Status Date Event
1 Seattle Riot** Loss 1-13 0 0% Ignored (Why) Jun 22nd Eugene Summer Solstice 2019
21 Sneaky House Hippos Loss 5-8 -4.49 4.89% Counts Jun 22nd Eugene Summer Solstice 2019
19 Underground Loss 6-8 9.53 5.07% Counts Jun 22nd Eugene Summer Solstice 2019
8 Schwa** Loss 3-11 0 0% Ignored (Why) Jun 22nd Eugene Summer Solstice 2019
31 Colorado Small Batch Loss 7-10 -12.06 5.59% Counts Jun 23rd Eugene Summer Solstice 2019
28 Elevate Win 10-8 29.69 5.75% Counts Jun 23rd Eugene Summer Solstice 2019
43 Korra Win 10-6 25.43 5.42% Counts (Why) Jun 23rd Eugene Summer Solstice 2019
59 Venom Win 15-8 13.81 6.94% Counts (Why) Jul 13th TCT Select Flight Invite West 2019
40 Pine Baroness Loss 7-13 -42.39 6.94% Counts Jul 13th TCT Select Flight Invite West 2019
102 Maeve** Win 15-1 0 0% Ignored (Why) Jul 13th TCT Select Flight Invite West 2019
61 Crackle Win 13-3 13.33 6.94% Counts (Why) Jul 14th TCT Select Flight Invite West 2019
37 Rampage Loss 8-13 -37.09 6.94% Counts Jul 14th TCT Select Flight Invite West 2019
60 Outbreak Win 13-5 16.29 6.94% Counts (Why) Jul 14th TCT Select Flight Invite West 2019
9 Siege** Loss 5-13 0 0% Ignored (Why) Jul 27th TCT Select Flight Invite East 2019
28 Elevate Loss 8-13 -22.78 7.72% Counts Jul 27th TCT Select Flight Invite East 2019
33 Heist Loss 8-12 -23.23 7.72% Counts Jul 27th TCT Select Flight Invite East 2019
49 Indy Rogue Win 13-4 35.31 7.72% Counts (Why) Jul 27th TCT Select Flight Invite East 2019
52 Dish Win 13-4 28.02 7.72% Counts (Why) Jul 28th TCT Select Flight Invite East 2019
67 Hot Metal Win 10-9 -30.18 7.72% Counts Jul 28th TCT Select Flight Invite East 2019
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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.