(1) #14 Nemesis (12-8) GL 1

1726.25 (36)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
11 Grit Loss 9-11 -11.31 14 5.67% Counts Jul 9th DC July Round Robin
13 Parcha Loss 10-11 -6.78 15 5.67% Counts Jul 9th DC July Round Robin
15 BENT Win 11-9 14.29 16 5.67% Counts Jul 10th DC July Round Robin
7 Brute Squad Loss 7-13 -13.01 20 5.67% Counts Jul 10th DC July Round Robin
5 Scandal Loss 8-11 4.03 18 5.67% Counts Jul 10th DC July Round Robin
17 Siege Win 12-11 0.98 19 5.67% Counts Jul 10th DC July Round Robin
8 Traffic Win 12-10 49.51 18 8.69% Counts Sep 3rd TCT Pro Championships 2022
15 BENT Loss 8-14 -52.13 16 8.69% Counts Sep 3rd TCT Pro Championships 2022
2 Molly Brown** Loss 6-15 0 17 0% Ignored (Why) Sep 3rd TCT Pro Championships 2022
5 Scandal Loss 9-14 -3.93 18 8.69% Counts Sep 4th TCT Pro Championships 2022
10 Schwa Loss 10-12 -10.76 18 8.69% Counts Sep 4th TCT Pro Championships 2022
46 Dish** Win 15-3 0 18 0% Ignored (Why) Sep 17th 2022 Central Plains Womens Sectional Championship
27 Indy Rogue Win 15-1 12.49 8 9.67% Counts (Why) Sep 17th 2022 Central Plains Womens Sectional Championship
59 Autonomous** Win 13-2 0 18 0% Ignored (Why) Oct 1st 2022 Great Lakes Womens Regional Championship
28 Rival Win 13-7 3.47 3 10.76% Counts (Why) Oct 1st 2022 Great Lakes Womens Regional Championship
66 Solstice** Win 13-3 0 65 0% Ignored (Why) Oct 1st 2022 Great Lakes Womens Regional Championship
71 Sureshot** Win 13-0 0 26 0% Ignored (Why) Oct 1st 2022 Great Lakes Womens Regional Championship
58 Y'all** Win 15-0 0 107 0% Ignored (Why) Oct 2nd 2022 Great Lakes Womens Regional Championship
46 Dish** Win 15-3 0 18 0% Ignored (Why) Oct 2nd 2022 Great Lakes Womens Regional Championship
27 Indy Rogue Win 15-6 14.06 8 10.76% Counts (Why) Oct 2nd 2022 Great Lakes Womens Regional Championship
**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.