() #240 Duloofda (5-13)

419.57 (3)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
287 Ope! Win 13-9 1.23 6 5.16% Counts Jul 20th Minnesota Ultimate Disc Invitational
176 Mousetrap Win 11-9 30.59 3 5.16% Counts Jul 21st Minnesota Ultimate Disc Invitational
76 Mojo Jojo Loss 7-12 15.45 0 5.16% Counts Jul 21st Minnesota Ultimate Disc Invitational
152 Melt Loss 7-10 2.67 2 4.88% Counts Jul 21st Minnesota Ultimate Disc Invitational
208 Pushovers-B Loss 8-11 -9.96 2 5.16% Counts Jul 21st Minnesota Ultimate Disc Invitational
295 Fox Valley Forge Win 13-8 -18.63 3 6.5% Counts Aug 17th Cooler Classic 31
211 Mastodon Loss 8-13 -22.75 10 6.5% Counts Aug 17th Cooler Classic 31
107 Shakedown Loss 8-13 12.32 2 6.5% Counts Aug 17th Cooler Classic 31
227 Midwestern Mediocrity Win 14-13 12.35 2 6.5% Counts Aug 17th Cooler Classic 31
176 Mousetrap Loss 6-8 0.73 3 5.58% Counts Aug 18th Cooler Classic 31
217 Stackcats Loss 7-8 1.47 1 5.78% Counts Aug 18th Cooler Classic 31
208 Pushovers-B Loss 8-9 3.78 2 6.15% Counts Aug 18th Cooler Classic 31
65 Northern Comfort** Loss 3-13 0 1 0% Ignored (Why) Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
295 Fox Valley Forge Win 13-6 -13.75 3 7.73% Counts (Why) Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
112 Pandamonium** Loss 3-13 0 1 0% Ignored (Why) Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
208 Pushovers-B Loss 12-13 4.83 2 7.73% Counts Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
225 Boomtown Pandas Loss 11-13 -10.8 1 7.73% Counts Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
241 Madison United Mixed Ultimate Loss 10-11 -10.53 21 7.73% Counts Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
**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.