(3) #175 Philly Twist (6-13)

655.55 (17)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
177 District Cocktails Loss 7-11 -22.93 16 4.62% Counts Aug 5th Philly Open 2023
178 Eat Lightning Win 8-7 5.24 23 4.22% Counts Aug 5th Philly Open 2023
111 Lampshade Loss 9-11 5.02 1 4.75% Counts Aug 5th Philly Open 2023
119 Mashed Loss 9-10 10.15 5 4.75% Counts Aug 5th Philly Open 2023
149 ColorBomb Loss 7-10 -11.29 13 4.49% Counts Aug 6th Philly Open 2023
142 Goosebumps Loss 6-10 -14.05 27 4.36% Counts Aug 6th Philly Open 2023
78 Deadweight Loss 8-11 7.84 47 5.29% Counts Aug 19th Philly Invite 2023
106 Ant Madness Loss 8-14 -9.14 13 5.29% Counts Aug 19th Philly Invite 2023
66 HVAC Loss 7-10 10.49 18 5% Counts Aug 19th Philly Invite 2023
104 Legion Loss 10-15 -4.18 10 5.29% Counts Aug 20th Philly Invite 2023
155 NY Swipes Loss 10-12 -5.76 22 5.29% Counts Aug 20th Philly Invite 2023
213 Milk Win 11-7 12.95 14 5.15% Counts Aug 20th Philly Invite 2023
38 Pittsburgh Port Authority Loss 7-13 19.05 28 6.2% Counts Sep 9th 2023 Mixed Founders Sectional Championship
213 Milk Win 11-7 15.34 14 6.04% Counts Sep 9th 2023 Mixed Founders Sectional Championship
242 Ultra Instinct Win 13-9 -8.34 11 6.2% Counts Sep 9th 2023 Mixed Founders Sectional Championship
141 PS Loss 7-11 -17.85 12 6.04% Counts Sep 10th 2023 Mixed Founders Sectional Championship
227 The Incidentals Win 11-5 15.6 13 5.69% Counts (Why) Sep 10th 2023 Mixed Founders Sectional Championship
184 Crucible Win 7-6 3.78 16 5.13% Counts Sep 10th 2023 Mixed Founders Sectional Championship
141 PS Loss 8-11 -11.68 12 6.2% Counts Sep 10th 2023 Mixed Founders Sectional 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.