(4) #199 MoonPi (6-14)

531.91 (36)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
- Forcey Loss 6-11 7 34 3.98% Counts Jun 24th Huntsville Huckfest
153 Memphis STAX Loss 8-11 -4.48 32 4.21% Counts Jun 24th Huntsville Huckfest
220 Hairy Otter Loss 8-13 -28.67 14 4.21% Counts Jun 24th Huntsville Huckfest
112 Dizzy Kitty Loss 7-12 -2.39 15 4.68% Counts Jul 8th Summer Glazed Daze 2023
107 Columbus Chaos Loss 4-14 -5.13 32 4.68% Counts (Why) Jul 8th Summer Glazed Daze 2023
61 Malice in Wonderland** Loss 4-14 0 26 0% Ignored (Why) Jul 8th Summer Glazed Daze 2023
248 Pickles Win 13-6 4.65 24 4.68% Counts (Why) Jul 9th Summer Glazed Daze 2023
43 Dirty Bird** Loss 0-15 0 105 0% Ignored (Why) Aug 12th HoDown Showdown 2023
208 Piedmont United Loss 10-14 -29.98 19 6.11% Counts Aug 12th HoDown Showdown 2023
126 Barefoot Loss 9-12 3.54 35 6.11% Counts Aug 12th HoDown Showdown 2023
108 Bear Jordan Loss 9-12 9.75 49 6.11% Counts Aug 12th HoDown Showdown 2023
237 Rampage Win 14-5 17.66 22 6.11% Counts (Why) Aug 13th HoDown Showdown 2023
248 Pickles Win 11-4 5.62 24 5.61% Counts (Why) Aug 13th HoDown Showdown 2023
219 Flood Zone Win 11-9 6.13 33 6.11% Counts Aug 13th HoDown Showdown 2023
43 Dirty Bird** Loss 3-13 0 105 0% Ignored (Why) Sep 9th 2023 Mixed East Coast Sectional Championship
219 Flood Zone Win 9-8 -2.31 33 7.15% Counts Sep 9th 2023 Mixed East Coast Sectional Championship
93 Crown Peach Loss 9-13 10.48 68 7.56% Counts Sep 9th 2023 Mixed East Coast Sectional Championship
87 m'kay Ultimate Loss 6-13 -1.05 115 7.56% Counts (Why) Sep 9th 2023 Mixed East Coast Sectional Championship
148 Verdant Loss 0-13 -26.31 14 7.56% Counts (Why) Sep 10th 2023 Mixed East Coast Sectional Championship
220 Hairy Otter Win 13-5 36.27 14 7.56% Counts (Why) Sep 10th 2023 Mixed East Coast Sectional Championship
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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.