(2) #78 Hooch (9-9)

997.61 (34)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
63 Delirium Loss 9-13 -15.14 12 5.14% Counts Aug 20th Trestlemania IV
69 Alliance Loss 11-13 -7.53 42 5.14% Counts Aug 20th Trestlemania IV
117 Atlanta Arson Win 11-9 -0.44 93 5.14% Counts Aug 20th Trestlemania IV
110 Tennessee Folklore Win 13-11 2.39 30 5.14% Counts Aug 20th Trestlemania IV
69 Alliance Win 9-6 24.33 42 4.57% Counts Aug 21st Trestlemania IV
110 Tennessee Folklore Loss 12-13 -16.78 30 5.14% Counts Aug 21st Trestlemania IV
75 Rush Hour ATL Win 13-12 10.67 63 6.03% Counts Sep 10th 2022 East Coast Mens Sectional Championship
21 Tanasi Loss 9-15 4.91 52 6.03% Counts Sep 10th 2022 East Coast Mens Sectional Championship
6 Chain Lightning** Loss 3-15 0 33 0% Ignored (Why) Sep 10th 2022 East Coast Mens Sectional Championship
95 Charleston Heat Stroke Win 14-10 18.63 32 6.03% Counts Sep 10th 2022 East Coast Mens Sectional Championship
63 Delirium Loss 14-15 0.91 12 6.03% Counts Sep 11th 2022 East Coast Mens Sectional Championship
117 Atlanta Arson Win 12-11 -8.49 93 6.03% Counts Sep 11th 2022 East Coast Mens Sectional Championship
41 Lost Boys Loss 9-14 -11.1 17 6.03% Counts Sep 11th 2022 East Coast Mens Sectional Championship
69 Alliance Loss 8-15 -34.15 42 6.71% Counts Sep 24th 2022 Southeast Mens Regional Championship
141 Nashville Mudcats Win 15-8 6.9 73 6.71% Counts (Why) Sep 24th 2022 Southeast Mens Regional Championship
77 UpRoar Loss 13-14 -8.94 99 6.71% Counts Sep 24th 2022 Southeast Mens Regional Championship
75 Rush Hour ATL Win 12-10 20.09 63 6.71% Counts Sep 25th 2022 Southeast Mens Regional Championship
121 Raptor Win 15-10 13.69 47 6.71% Counts Sep 25th 2022 Southeast Mens Regional 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.