() #20 Pop (10-7) NC 1

1633.37 (11)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
30 Colorado Small Batch Loss 9-13 -42.34 6 6.08% Counts Jul 13th TCT Pro Elite Challenge 2019
9 Nightlock Loss 9-13 -6.71 7 6.08% Counts Jul 13th TCT Pro Elite Challenge 2019
8 Schwa Loss 10-12 7.38 13 6.08% Counts Jul 13th TCT Pro Elite Challenge 2019
28 Wicked Win 12-9 7.9 53 6.08% Counts Jul 14th TCT Pro Elite Challenge 2019
21 Grit Loss 4-9 -32.83 35 5.03% Counts (Why) Jul 14th TCT Pro Elite Challenge 2019
33 Heist Win 9-8 -8.34 10 5.75% Counts Jul 14th TCT Pro Elite Challenge 2019
30 Colorado Small Batch Win 13-7 23.35 6 6.76% Counts (Why) Jul 27th TCT Select Flight Invite East 2019
66 Hot Metal** Win 13-5 0 7 0% Ignored (Why) Jul 27th TCT Select Flight Invite East 2019
39 Stella Win 13-7 9.87 22 6.76% Counts (Why) Jul 27th TCT Select Flight Invite East 2019
26 Virginia Rebellion Win 13-7 26.97 25 6.76% Counts (Why) Jul 28th TCT Select Flight Invite East 2019
22 Tabby Rosa Win 12-11 3.58 1 6.76% Counts Jul 28th TCT Select Flight Invite East 2019
12 Rival Loss 8-13 -15.7 10 6.76% Counts Jul 28th TCT Select Flight Invite East 2019
27 Elevate Loss 11-12 -28 3 7.94% Counts Aug 17th TCT Elite Select Challenge 2019
15 Nemesis Loss 9-11 -10.22 12 7.94% Counts Aug 17th TCT Elite Select Challenge 2019
11 Siege Win 14-9 65.01 50 7.94% Counts Aug 17th TCT Elite Select Challenge 2019
55 Dish** Win 12-3 0 85 0% Ignored (Why) Aug 18th TCT Elite Select Challenge 2019
33 Heist Win 9-7 1.39 10 7.28% Counts 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.