(2) #40 Pine Baroness (10-9)

1212.51 (17)

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# Opponent Result Effect % of Ranking Status Date Event
54 TOX6ix Win 13-6 16.56 5.12% Counts (Why) Jun 22nd Boston Invite 2019
38 Frolic Loss 10-12 -12.43 5.12% Counts Jun 22nd Boston Invite 2019
42 Vintage Loss 13-14 -7.74 5.12% Counts Jun 22nd Boston Invite 2019
34 Salty Loss 8-13 -17.99 5.12% Counts Jun 22nd Boston Invite 2019
46 Brooklyn Book Club Win 14-12 8.08 5.12% Counts Jun 23rd Boston Invite 2019
9 Siege** Loss 5-15 0 0% Ignored (Why) Jun 23rd Boston Invite 2019
77 Ignite** Win 15-5 0 0% Ignored (Why) Jun 23rd Boston Invite 2019
59 Venom Loss 10-14 -49.07 6.01% Counts Jul 13th TCT Select Flight Invite West 2019
36 FAB Win 13-7 36.38 6.01% Counts (Why) Jul 13th TCT Select Flight Invite West 2019
61 Crackle Win 13-7 9.44 6.01% Counts (Why) Jul 14th TCT Select Flight Invite West 2019
29 Seattle Soul Loss 9-12 -7.45 6.01% Counts Jul 14th TCT Select Flight Invite West 2019
13 Traffic** Loss 4-13 0 0% Ignored (Why) Jul 14th TCT Select Flight Invite West 2019
37 Rampage Win 11-6 33.55 5.69% Counts (Why) Jul 14th TCT Select Flight Invite West 2019
65 Broad City Win 11-9 -17.66 7.44% Counts Aug 10th Chesapeake Open 2019
41 Vice Loss 11-12 -10.19 7.44% Counts Aug 10th Chesapeake Open 2019
67 Hot Metal Win 12-10 -19.02 7.44% Counts Aug 10th Chesapeake Open 2019
58 Agency Win 15-6 19.84 7.44% Counts (Why) Aug 11th Chesapeake Open 2019
46 Brooklyn Book Club Win 13-8 34.15 7.44% Counts Aug 11th Chesapeake Open 2019
26 Virginia Rebellion Loss 9-14 -16.56 7.44% Counts Aug 11th Chesapeake Open 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.