(7) #28 Elevate (7-12)

1447.41 (120)

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# Opponent Result Effect % of Ranking Status Date Event
31 Colorado Small Batch Loss 7-10 -18.73 4.2% Counts Jun 22nd Eugene Summer Solstice 2019
13 Traffic Loss 9-12 4.42 4.44% Counts Jun 22nd Eugene Summer Solstice 2019
12 Nightlock Loss 4-13 -6.12 4.44% Counts (Why) Jun 22nd Eugene Summer Solstice 2019
2 Fury** Loss 1-13 0 0% Ignored (Why) Jun 22nd Eugene Summer Solstice 2019
21 Sneaky House Hippos Loss 6-13 -21.25 4.44% Counts (Why) Jun 23rd Eugene Summer Solstice 2019
32 PDXtra Win 13-11 8.33 4.44% Counts Jun 23rd Eugene Summer Solstice 2019
36 FAB Loss 8-10 -21.96 4.32% Counts Jun 23rd Eugene Summer Solstice 2019
9 Siege Loss 7-13 -2.38 5.79% Counts Jul 27th TCT Select Flight Invite East 2019
23 Tabby Rosa Loss 10-12 -8.11 5.79% Counts Jul 27th TCT Select Flight Invite East 2019
33 Heist Win 15-14 3.97 5.79% Counts Jul 27th TCT Select Flight Invite East 2019
36 FAB Win 13-8 16.75 5.79% Counts Jul 27th TCT Select Flight Invite East 2019
31 Colorado Small Batch Loss 7-10 -24.78 5.48% Counts Jul 28th TCT Select Flight Invite East 2019
39 Stella Win 11-9 1.04 5.79% Counts Jul 28th TCT Select Flight Invite East 2019
9 Siege Loss 9-15 0.24 6.8% Counts Aug 17th TCT Elite Select Challenge 2019
15 Nemesis Win 12-10 41 6.8% Counts Aug 17th TCT Elite Select Challenge 2019
20 Pop Win 12-11 24.07 6.8% Counts Aug 17th TCT Elite Select Challenge 2019
19 Underground Loss 7-8 8.35 6.04% Counts Aug 18th TCT Elite Select Challenge 2019
22 Grit Win 8-7 16.79 6.04% Counts Aug 18th TCT Elite Select Challenge 2019
15 Nemesis Loss 4-13 -20.14 6.8% Counts (Why) Aug 18th TCT Elite Select Challenge 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.