(3) #178 ColorBomb (3-19)

556.8 (19)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
176 Brooklyn Hive Loss 6-11 -21.6 39 3.98% Counts Jun 8th PADA Flagship Tournament
52 Grand Army** Loss 0-13 0 15 0% Ignored (Why) Jun 8th PADA Flagship Tournament
151 Heavy Flow Loss 8-9 4.34 18 3.98% Counts Jun 8th PADA Flagship Tournament
164 Philly Twist Loss 6-13 -21 17 4.21% Counts (Why) Jun 8th PADA Flagship Tournament
32 Anthem** Loss 1-13 0 15 0% Ignored (Why) Jun 9th PADA Flagship Tournament
82 Heat Wave** Loss 2-13 0 11 0% Ignored (Why) Jun 9th PADA Flagship Tournament
179 Starfire Win 10-7 19.21 21 4.73% Counts Jun 29th LVU’s Disc Days of Summer 2024
61 FLI Loss 5-9 9.58 17 4.29% Counts Jun 29th LVU’s Disc Days of Summer 2024
136 Garbage Pla Loss 4-11 -14.53 17 4.59% Counts (Why) Jun 29th LVU’s Disc Days of Summer 2024
109 Delabear Loss 6-9 0.8 19 4.44% Counts Jun 30th LVU’s Disc Days of Summer 2024
173 Crucible Loss 7-9 -11.63 14 4.59% Counts Jun 30th LVU’s Disc Days of Summer 2024
220 JAWN Win 11-6 9.95 16 4.73% Counts (Why) Jun 30th LVU’s Disc Days of Summer 2024
176 Brooklyn Hive Loss 5-8 -20.86 39 4.64% Counts Jul 14th New York Unvite
179 Starfire Loss 7-8 -6.72 21 4.99% Counts Jul 14th New York Unvite
241 Domino Effect** Win 9-0 0 108 0% Ignored (Why) Jul 14th New York Unvite
32 Anthem Loss 5-11 31.22 15 6.88% Counts (Why) Aug 17th Philly Invite
71 Jughandle Loss 6-11 11.02 16 7.09% Counts Aug 17th Philly Invite
161 Espionage Loss 9-11 -7.51 18 7.49% Counts Aug 17th Philly Invite
83 PS Loss 5-11 0.66 16 6.88% Counts (Why) Aug 17th Philly Invite
95 Farm Show Loss 10-11 30.9 15 7.49% Counts Aug 17th Philly Invite
149 NY Swipes Loss 9-13 -14.82 16 7.49% Counts Aug 18th Philly Invite
161 Espionage Loss 12-13 2.55 18 7.49% Counts Aug 18th Philly Invite
**Blowout Eligible. Learn more about how this works here.

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.