(2) #163 Heavy Flow (6-13)

638.53 (7)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
134 904 Shipwreck Loss 7-13 -16.54 8 4.08% Counts Jun 25th Summer Glazed Daze 2022
126 Donut Loss 8-13 -11.96 7 4.08% Counts Jun 25th Summer Glazed Daze 2022
32 Storm** Loss 4-13 0 9 0% Ignored (Why) Jun 25th Summer Glazed Daze 2022
192 Espionage Win 13-11 -0.35 6 4.08% Counts Jun 25th Summer Glazed Daze 2022
134 904 Shipwreck Loss 10-11 1.85 8 4.08% Counts Jun 26th Summer Glazed Daze 2022
183 Piedmont United Loss 8-9 -10.42 4 3.86% Counts Jun 26th Summer Glazed Daze 2022
168 Possum Loss 5-11 -24.36 6 3.74% Counts (Why) Jun 26th Summer Glazed Daze 2022
73 Ant Madness Loss 7-10 5.3 9 5.31% Counts Aug 6th Philly Open 2022
169 Eat Lightning Win 10-7 20.09 7 5.31% Counts Aug 6th Philly Open 2022
178 Philly Twist Win 10-8 9.74 6 5.47% Counts Aug 6th Philly Open 2022
62 Weird Loss 6-11 0.67 8 5.31% Counts Aug 6th Philly Open 2022
125 Brackish Loss 8-9 5.45 7 5.31% Counts Aug 7th Philly Open 2022
199 Compost Plates Win 12-5 16.47 5 5.39% Counts (Why) Aug 7th Philly Open 2022
144 8 Bit Heroes Loss 7-13 -36.45 8 7.33% Counts Sep 10th 2022 Capital Mixed Sectional Championship
192 Espionage Win 12-7 22.43 6 7.33% Counts (Why) Sep 10th 2022 Capital Mixed Sectional Championship
43 Fleet Loss 10-15 19.9 8 7.33% Counts Sep 10th 2022 Capital Mixed Sectional Championship
78 HVAC Loss 9-12 7.53 8 7.33% Counts Sep 10th 2022 Capital Mixed Sectional Championship
190 District Cocktails Win 13-8 22.79 5 7.33% Counts Sep 11th 2022 Capital Mixed Sectional Championship
177 Spice Loss 12-15 -31.09 6 7.33% Counts Sep 11th 2022 Capital Mixed Sectional Championship
**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.