(10) #103 Lollipops (3-4)

1002.84 (98)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
95 Spice Loss 4-5 -5.99 63 10.23% Counts Aug 14th HoDown ShowDown 24
55 Murmur Loss 11-12 33.56 247 14.87% Counts Aug 14th HoDown ShowDown 24
90 Too Much Fun Win 8-6 41 104 12.76% Counts Aug 14th HoDown ShowDown 24
42 Malice in Wonderland Loss 4-13 -35.56 59 14.87% Counts (Why) Aug 14th HoDown ShowDown 24
181 Jackpot Win 15-6 11.13 69 15.75% Counts (Why) Aug 15th HoDown ShowDown 24
95 Spice Loss 10-15 -103.33 63 15.75% Counts (Why) Aug 15th HoDown ShowDown 24
150 Seoulmates Win 13-7 58.15 73 15.75% Counts (Why) Aug 15th HoDown ShowDown 24
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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.