(1) #129 Spectre (9-10)

891.59 (13)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
177 ConSTLation Win 13-5 13.93 13 4.81% Counts (Why) Jul 6th Heavyweights 2024
128 Mad Udderburn Win 12-8 22.37 13 4.81% Counts Jul 6th Heavyweights 2024
171 Toast! Win 12-7 12.83 11 4.81% Counts (Why) Jul 6th Heavyweights 2024
186 Stackcats Win 13-5 11 8 4.81% Counts (Why) Jul 6th Heavyweights 2024
103 Bird Loss 6-12 -22.94 13 4.69% Counts Jul 7th Heavyweights 2024
55 PBHG Loss 5-11 -6.53 10 4.42% Counts (Why) Jul 7th Heavyweights 2024
174 Point of No Return Win 12-10 -3.43 14 4.81% Counts Jul 7th Heavyweights 2024
47 Darkwing Loss 9-14 6.09 14 5.72% Counts Jul 27th TCT Select Flight Invite East 2024
46 Garbage Plates Loss 7-13 1.41 14 5.72% Counts Jul 27th TCT Select Flight Invite East 2024
11 Toro** Loss 5-15 0 15 0% Ignored (Why) Jul 27th TCT Select Flight Invite East 2024
51 Chicago Parlay Loss 8-15 -3.76 15 5.72% Counts Jul 28th TCT Select Flight Invite East 2024
128 Mad Udderburn Loss 9-12 -20.9 13 5.72% Counts Jul 28th TCT Select Flight Invite East 2024
139 Northern Comfort Loss 11-12 -10.52 14 5.72% Counts Jul 28th TCT Select Flight Invite East 2024
173 Crucible Win 14-7 19.62 14 6.43% Counts (Why) Aug 10th Motown Throwdown 2024
215 Pixel Win 15-7 0.93 12 6.43% Counts (Why) Aug 10th Motown Throwdown 2024
221 Thunderpants the Magic Dragon Win 11-6 -9.02 15 6.08% Counts (Why) Aug 10th Motown Throwdown 2024
125 Columbus Chaos Loss 10-12 -14.23 12 6.43% Counts Aug 11th Motown Throwdown 2024
207 ELevate Win 15-4 8.84 14 6.43% Counts (Why) Aug 11th Motown Throwdown 2024
123 Twist Loss 11-12 -5.86 18 6.43% Counts Aug 11th Motown Throwdown 2024
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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.