(8) #209 MadCity Vibes (5-13)

71.99 (59)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
183 Stackcats Loss 6-12 -8.72 54 5.54% Counts Aug 6th Spirit of the Plains 2022
181 Melt Loss 5-13 -9.16 77 5.69% Counts (Why) Aug 6th Spirit of the Plains 2022
210 Frostbite Loss 7-13 -35.1 56 5.69% Counts Aug 6th Spirit of the Plains 2022
211 PanIC Win 11-8 15.76 50 5.69% Counts Aug 7th Spirit of the Plains 2022
210 Frostbite Win 9-7 14.1 56 5.23% Counts Aug 7th Spirit of the Plains 2022
158 2Fly2Furious Loss 4-13 -1.36 57 6.34% Counts (Why) Aug 20th Cooler Classic 33
155 Pandamonium Loss 9-12 17.6 107 6.34% Counts Aug 20th Cooler Classic 33
187 Mastodon Loss 5-10 -11.32 52 5.63% Counts Aug 20th Cooler Classic 33
211 PanIC Win 13-4 33.51 50 6.34% Counts (Why) Aug 20th Cooler Classic 33
201 Dinosaur Fancy Loss 9-13 -15.21 52 6.34% Counts Aug 21st Cooler Classic 33
163 Prion Loss 8-13 4.7 49 6.34% Counts Aug 21st Cooler Classic 33
208 Great Minnesota Get Together Win 12-11 9.62 53 6.34% Counts Aug 21st Cooler Classic 33
9 NOISE** Loss 4-15 0 34 0% Ignored (Why) Sep 10th 2022 Northwest Plains Mixed Sectional Championship
185 Boomtown Pandas Win 9-8 40.23 63 7.03% Counts Sep 10th 2022 Northwest Plains Mixed Sectional Championship
155 Pandamonium** Loss 4-15 0 107 0% Ignored (Why) Sep 10th 2022 Northwest Plains Mixed Sectional Championship
210 Frostbite Loss 9-10 -11.94 56 7.43% Counts Sep 10th 2022 Northwest Plains Mixed Sectional Championship
187 Mastodon Loss 6-9 -2.44 52 6.61% Counts Sep 11th 2022 Northwest Plains Mixed Sectional Championship
208 Great Minnesota Get Together Loss 7-12 -40.42 53 7.43% Counts Sep 11th 2022 Northwest Plains Mixed Sectional 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.