() #142 Nomads (7-12)

891.39 (15)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
70 (washed) Loss 10-15 -0.7 18 4.09% Counts Jun 22nd Colorado Summer Solstice 2024
27 Fungi** Loss 6-15 0 12 0% Ignored (Why) Jun 22nd Colorado Summer Solstice 2024
69 Johnny Walker Loss 5-15 -6.94 8 4.09% Counts (Why) Jun 22nd Colorado Summer Solstice 2024
164 Fat Stacks Loss 10-15 -24.21 17 4.09% Counts Jun 23rd Colorado Summer Solstice 2024
121 Colorado Cutthroat U-20 Boys Loss 8-11 -11.98 15 4.09% Counts Jun 23rd Colorado Summer Solstice 2024
175 Sonoran Dog Win 13-8 13.59 6 4.09% Counts Jun 23rd Colorado Summer Solstice 2024
97 DeMo Loss 8-13 -16.45 18 5.79% Counts Aug 3rd Royal Experience 2024
95 Red Lotus Loss 10-13 -4.52 17 5.79% Counts Aug 3rd Royal Experience 2024
172 STL Goonar Win 13-8 20.5 17 5.79% Counts Aug 3rd Royal Experience 2024
116 STL Moonar Loss 12-13 0.08 17 5.79% Counts Aug 3rd Royal Experience 2024
145 Carbon Loss 0-13 -38.26 16 5.79% Counts (Why) Aug 4th Royal Experience 2024
170 Friendly Fire Loss 11-12 -17.11 17 5.79% Counts Aug 4th Royal Experience 2024
210 Loaded Panda Win 13-5 2.7 21 5.79% Counts (Why) Aug 4th Royal Experience 2024
108 DINGWOP Loss 10-14 -16.02 18 6.5% Counts Aug 17th Cooler Classic 35
147 Void Win 15-10 29.73 15 6.5% Counts Aug 17th Cooler Classic 35
114 NOx Win 11-8 35.01 16 6.5% Counts Aug 17th Cooler Classic 35
101 NOMAD Loss 13-15 -0.37 19 6.5% Counts Aug 18th Cooler Classic 35
187 Rubicon Rapids Win 15-11 6.41 12 6.5% Counts Aug 18th Cooler Classic 35
147 Void Win 15-10 29.73 15 6.5% Counts Aug 18th Cooler Classic 35
**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.