() #51 Flash Flood (9-7)

1060.02 (77)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
157 Overdrive** Win 15-4 0 66 0% Ignored (Why) Aug 7th 2021 US Open Club Championships
49 Knights of Ni Loss 13-15 -11.15 80 5.69% Counts Aug 7th 2021 US Open Club Championships
115 Mallard II Win 15-7 13.39 69 5.69% Counts (Why) Aug 7th 2021 US Open Club Championships
94 Cryptic Win 14-8 17.65 66 5.69% Counts (Why) Aug 8th 2021 US Open Club Championships
36 Mallard Loss 10-15 -18.09 64 5.69% Counts Aug 8th 2021 US Open Club Championships
183 Texas United** Win 13-4 0 77 0% Ignored (Why) Sep 11th Texas Mens Club Sectional Championship 2021
130 cRutch city Win 13-6 7.5 78 7.43% Counts (Why) Sep 11th Texas Mens Club Sectional Championship 2021
73 Joe Sefton's Little Heroes Win 11-9 9.37 77 7.43% Counts Sep 11th Texas Mens Club Sectional Championship 2021
28 H.I.P Loss 5-15 -28.24 85 7.43% Counts (Why) Sep 11th Texas Mens Club Sectional Championship 2021
91 Riverside Win 11-4 28.13 76 6.82% Counts (Why) Sep 12th Texas Mens Club Sectional Championship 2021
34 Clutch Loss 6-10 -23.17 76 6.82% Counts Sep 12th Texas Mens Club Sectional Championship 2021
73 Joe Sefton's Little Heroes Win 13-10 17.63 77 8.26% Counts Sep 25th South Central Club Mens Regional Championship 2021
11 Johnny Bravo Loss 6-13 3.43 112 8.26% Counts (Why) Sep 25th South Central Club Mens Regional Championship 2021
91 Riverside Win 13-3 34.64 76 8.26% Counts (Why) Sep 25th South Central Club Mens Regional Championship 2021
29 Fungi Loss 7-13 -27.9 57 8.26% Counts Sep 25th South Central Club Mens Regional Championship 2021
73 Joe Sefton's Little Heroes Loss 12-13 -23.2 77 8.26% Counts Sep 26th South Central Club Mens Regional Championship 2021
**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.