(3) #45 STL Lounar (14-4)

1243.58 (54)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
91 Beacon Win 15-9 9.72 72 4.62% Counts Jul 9th Heavyweights 2022
127 HouSE Win 15-9 -1.78 9 4.62% Counts Jul 9th Heavyweights 2022
26 Trident I Loss 8-15 -15.49 43 4.62% Counts Jul 9th Heavyweights 2022
31 Colonels Win 12-11 14.46 14 4.62% Counts Jul 10th Heavyweights 2022
68 Knights of Ni Win 15-12 7.01 1 4.62% Counts Jul 10th Heavyweights 2022
26 Trident I Loss 8-15 -15.49 43 4.62% Counts Jul 10th Heavyweights 2022
59 DeMo Win 14-11 18.41 11 7.47% Counts Sep 10th 2022 West Plains Mens Sectionals Championship
142 STL Moonar** Win 15-5 0 5 0% Ignored (Why) Sep 10th 2022 West Plains Mens Sectionals Championship
136 NOx** Win 15-1 0 3 0% Ignored (Why) Sep 10th 2022 West Plains Mens Sectionals Championship
- Mad-at-door** Win 15-3 0 4 0% Ignored (Why) Sep 10th 2022 West Plains Mens Sectionals Championship
65 Scythe Win 13-12 -0.43 4 7.47% Counts Sep 11th 2022 West Plains Mens Sectionals Championship
56 Kansas City Smokestack Win 14-13 4.36 30 7.47% Counts Sep 11th 2022 West Plains Mens Sectionals Championship
88 Cryptic Win 13-11 -7.54 0 8.31% Counts Sep 24th 2022 North Central Mens Regional Championship
59 DeMo Win 15-8 43.46 11 8.31% Counts (Why) Sep 24th 2022 North Central Mens Regional Championship
140 NOMAD Win 15-8 -13.17 0 8.31% Counts (Why) Sep 24th 2022 North Central Mens Regional Championship
59 DeMo Loss 9-13 -45.66 11 8.31% Counts Sep 25th 2022 North Central Mens Regional Championship
68 Knights of Ni Win 14-10 22.01 1 8.31% Counts Sep 25th 2022 North Central Mens Regional Championship
47 La Raid S.C. Loss 13-15 -20.01 51 8.31% Counts Sep 25th 2022 North Central Mens Regional Championship
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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.