(19) #245 Underdogs (2-16)

74.21 (125)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
111 Bird Loss 8-10 40.57 79 5.59% Counts Jul 15th Cheep Thrills 2023
196 Great Minnesota Get Together Loss 7-10 5.45 90 5.43% Counts Jul 15th Cheep Thrills 2023
188 Melt Loss 6-13 -3.9 71 5.74% Counts (Why) Jul 15th Cheep Thrills 2023
164 Pandamonium** Loss 3-13 0 190 0% Ignored (Why) Jul 16th Cheep Thrills 2023
237 Ca$h Cow$ Win 11-9 24.32 125 5.74% Counts Jul 16th Cheep Thrills 2023
215 Lake Superior Disc Loss 4-11 -13.72 199 5.27% Counts (Why) Jul 16th Cheep Thrills 2023
132 Mousetrap** Loss 5-13 0 27 0% Ignored (Why) Aug 19th Cooler Classic 34
78 Northern Comfort** Loss 3-13 0 150 0% Ignored (Why) Aug 19th Cooler Classic 34
182 The Force Loss 5-15 -2.83 170 7.49% Counts (Why) Aug 19th Cooler Classic 34
209 Mastodon Loss 9-10 21.36 167 7.49% Counts Aug 19th Cooler Classic 34
240 PanIC Loss 11-12 -4.66 122 7.49% Counts Aug 20th Cooler Classic 34
227 Arms Race Loss 7-10 -10.52 327 7.09% Counts Aug 20th Cooler Classic 34
235 Mad City Vibes Loss 6-15 -36 161 7.49% Counts (Why) Aug 20th Cooler Classic 34
228 Dinosaur Fancy Loss 9-15 -27.14 8.79% Counts Sep 9th 2023 Mixed Northwest Plains Sectional Championship
174 Boomtown Pandas Loss 7-15 3.75 217 8.79% Counts (Why) Sep 9th 2023 Mixed Northwest Plains Sectional Championship
64 Minnesota Star Power** Loss 4-15 0 39 0% Ignored (Why) Sep 9th 2023 Mixed Northwest Plains Sectional Championship
215 Lake Superior Disc Loss 5-15 -23.79 199 8.79% Counts (Why) Sep 10th 2023 Mixed Northwest Plains Sectional Championship
249 Midnight Nut Busters Win 15-11 25.84 8.79% Counts Sep 10th 2023 Mixed Northwest Plains 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.