(2) #140 NOMAD (3-13)

533.8 (76)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
88 Cryptic Loss 7-13 -11.04 116 6.47% Counts Aug 6th Spirit of the Plains 2022
70 Knights of Ni Loss 6-13 -3.24 73 6.47% Counts (Why) Aug 6th Spirit of the Plains 2022
93 Mallard II Loss 7-13 -13.09 72 6.47% Counts Aug 6th Spirit of the Plains 2022
143 DINGWOP Loss 3-7 -30.23 63 4.7% Counts (Why) Aug 7th Spirit of the Plains 2022
168 THE BODY Win 13-12 -22.43 47 6.47% Counts Aug 7th Spirit of the Plains 2022
154 Trident II Win 13-6 28.24 51 6.47% Counts (Why) Aug 7th Spirit of the Plains 2022
45 La Raid S.C.** Loss 5-15 0 48 0% Ignored (Why) Sep 10th 2022 Northwest Plains Mens Sectional Championship
24 Sub Zero** Loss 2-15 0 3 0% Ignored (Why) Sep 10th 2022 Northwest Plains Mens Sectional Championship
127 HouSE Win 15-10 55.62 54 8.45% Counts Sep 10th 2022 Northwest Plains Mens Sectional Championship
101 MKE Loss 12-15 3.23 43 8.45% Counts Sep 11th 2022 Northwest Plains Mens Sectional Championship
128 Nomads Loss 11-13 -7.4 50 8.45% Counts Sep 11th 2022 Northwest Plains Mens Sectional Championship
88 Cryptic Loss 13-15 19.06 116 9.4% Counts Sep 24th 2022 North Central Mens Regional Championship
60 DeMo** Loss 4-15 0 111 0% Ignored (Why) Sep 24th 2022 North Central Mens Regional Championship
42 STL Lounar Loss 8-15 20.64 66 9.4% Counts Sep 24th 2022 North Central Mens Regional Championship
132 Timber Loss 10-14 -29.32 14 9.4% Counts Sep 25th 2022 North Central Mens Regional Championship
128 Nomads Loss 11-13 -8.32 50 9.4% Counts Sep 25th 2022 North Central Mens 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.