(7) #63 Metro North (7-13)

1337.04 (11)

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# Opponent Result Effect % of Ranking Status Date Event
105 Battleship Win 14-9 9.19 4.17% Counts Jun 22nd Boston Invite 2019
56 Darkwing Win 13-8 24.83 4.17% Counts Jun 22nd Boston Invite 2019
12 Snake Country Loss 6-11 -0.34 3.95% Counts Jun 22nd Boston Invite 2019
72 Chaotic Good Loss 8-9 -7.08 3.95% Counts Jun 22nd Boston Invite 2019
30 XIST Loss 9-11 3.34 4.17% Counts Jun 23rd Boston Invite 2019
6 Slow White Loss 9-15 6.22 4.17% Counts Jun 23rd Boston Invite 2019
72 Chaotic Good Win 14-11 11.59 4.17% Counts Jun 23rd Boston Invite 2019
66 The Administrators Win 12-9 16.49 4.9% Counts Jul 13th TCT Select Flight Invite West 2019
44 Mesteño Loss 8-15 -21 4.9% Counts Jul 13th TCT Select Flight Invite West 2019
52 BW Ultimate Win 11-10 12.25 4.9% Counts Jul 13th TCT Select Flight Invite West 2019
50 Minnesota Star Power Loss 8-9 0 4.63% Counts Jul 14th TCT Select Flight Invite West 2019
25 Rally Loss 7-13 -8.23 4.9% Counts Jul 14th TCT Select Flight Invite West 2019
61 Grand Army Loss 9-10 -5.81 4.9% Counts Jul 14th TCT Select Flight Invite West 2019
25 Rally Loss 7-12 -7.93 6.06% Counts Aug 10th Chesapeake Open 2019
48 Sparkle Ponies Loss 7-11 -20.98 5.9% Counts Aug 10th Chesapeake Open 2019
15 Steamboat Loss 6-12 -5.39 5.9% Counts Aug 10th Chesapeake Open 2019
24 Alloy Loss 6-13 -12.94 6.06% Counts (Why) Aug 10th Chesapeake Open 2019
59 8 Bit Heroes Loss 11-13 -11.79 6.06% Counts Aug 11th Chesapeake Open 2019
64 HVAC Win 12-11 7.91 6.06% Counts Aug 11th Chesapeake Open 2019
61 Grand Army Win 12-11 8.85 6.06% 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.