(4) #122 Funk (7-4)

1007.83 (4)

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# Opponent Result Effect % of Ranking Status Date Event
125 Night Shift Win 10-7 32.1 7.69% Counts Jul 6th AntlerLock 2019
152 Scarecrow Loss 10-12 -35.67 8.13% Counts Jul 6th AntlerLock 2019
130 Default Loss 9-11 -23.26 8.13% Counts Jul 6th AntlerLock 2019
208 Enough Monkeys Win 13-7 6.81 8.13% Counts (Why) Jul 7th AntlerLock 2019
125 Night Shift Loss 9-10 -11.47 8.13% Counts Jul 7th AntlerLock 2019
204 Side Hustle Win 14-10 -1.66 8.13% Counts Jul 7th AntlerLock 2019
146 Farm Show Win 9-8 -1.03 10.04% Counts Aug 10th Nuccis Cup 2019
127 Stoke Win 13-5 70.41 10.62% Counts (Why) Aug 10th Nuccis Cup 2019
199 Varsity Win 9-7 -10.54 9.74% Counts Aug 10th Nuccis Cup 2019
127 Stoke Loss 12-13 -15.72 10.62% Counts Aug 11th Nuccis Cup 2019
199 Varsity Win 15-12 -9.08 10.62% Counts Aug 11th Nuccis Cup 2019
**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.