(2) #204 Spring Break '93 (5-14)

432.28 (1)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
121 Genny The Boys Loss 5-13 -5.34 1 4.95% Counts (Why) Jun 22nd Boston Invite 2019
181 Helots Loss 8-15 -21.59 0 4.95% Counts Jun 22nd Boston Invite 2019
118 Shrike Loss 6-15 -4.16 2 4.95% Counts (Why) Jun 22nd Boston Invite 2019
186 Watch City Loss 5-11 -23.5 1 4.54% Counts (Why) Jun 22nd Boston Invite 2019
188 Thunder Boys Win 13-8 31.14 1 4.95% Counts Jun 23rd Boston Invite 2019
157 Ender's Outcasts Loss 4-15 -15.08 0 4.95% Counts (Why) Jun 23rd Boston Invite 2019
104 Burly Loss 6-11 2.94 1 5.9% Counts Jul 20th Vacationland 2019
53 Colt** Loss 3-13 0 0 0% Ignored (Why) Jul 20th Vacationland 2019
165 Rising Tide U20B Loss 10-11 9.86 1 6.23% Counts Jul 20th Vacationland 2019
66 Deathsquad** Loss 5-13 0 2 0% Ignored (Why) Jul 20th Vacationland 2019
198 Madhouse Loss 8-11 -21.33 1 6.23% Counts Jul 21st Vacationland 2019
- Neap Tide Win 12-4 0 0% Ignored (Why) Jul 21st Vacationland 2019
163 One Night Loss 6-11 -16.79 1 5.9% Counts Jul 21st Vacationland 2019
94 Log Jam** Loss 3-13 0 1 0% Ignored (Why) Sep 7th Metro New York Mens Club Sectional Championship 2019
121 Genny The Boys Loss 9-11 25.57 1 9.34% Counts Sep 7th Metro New York Mens Club Sectional Championship 2019
- White Sauce Hot Sauce Win 10-8 45.62 1 9.09% Counts Sep 7th Metro New York Mens Club Sectional Championship 2019
224 Fusion Win 15-11 19.83 0 9.34% Counts Sep 8th Metro New York Mens Club Sectional Championship 2019
206 Sky Hook Loss 10-12 -25.07 0 9.34% Counts Sep 8th Metro New York Mens Club Sectional Championship 2019
241 defunCT Win 15-4 0.65 0 9.34% Counts (Why) Sep 8th Metro New York Mens Club Sectional Championship 2019
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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.