() #82 Rumspringa (7-7)

1126.74 (0)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
42 Garden State Ultimate Win 13-8 61.52 0 7.28% Counts Sep 7th Founders Mens Club Sectional Championship 2019
173 Hazard Win 13-7 5.24 2 7.28% Counts (Why) Sep 7th Founders Mens Club Sectional Championship 2019
22 Patrol Loss 7-13 -4.35 1 7.28% Counts Sep 7th Founders Mens Club Sectional Championship 2019
239 Philadelphia Padawans** Win 13-4 0 1 0% Ignored (Why) Sep 7th Founders Mens Club Sectional Championship 2019
42 Garden State Ultimate Loss 3-13 -24.56 0 7.28% Counts (Why) Sep 8th Founders Mens Club Sectional Championship 2019
47 CITYWIDE Special Loss 11-12 11.05 1 7.28% Counts Sep 8th Founders Mens Club Sectional Championship 2019
131 Slag Dump Win 13-12 -8.66 1 7.28% Counts Sep 8th Founders Mens Club Sectional Championship 2019
129 JAWN Win 13-7 26.19 1 7.28% Counts (Why) Sep 8th Founders Mens Club Sectional Championship 2019
11 Pittsburgh Temper Loss 8-13 21.26 18 8.17% Counts Sep 21st Mid Atlantic Mens Club Regional Championship 2019
91 Richmond Floodwall Win 13-11 17.28 3 8.17% Counts Sep 21st Mid Atlantic Mens Club Regional Championship 2019
129 JAWN Win 13-9 17.31 1 8.17% Counts Sep 21st Mid Atlantic Mens Club Regional Championship 2019
101 John Doe Loss 13-15 -27.17 1 8.17% Counts Sep 21st Mid Atlantic Mens Club Regional Championship 2019
107 Fathom Loss 9-15 -55.42 3 8.17% Counts Sep 22nd Mid Atlantic Mens Club Regional Championship 2019
132 Oakgrove Boys Loss 13-15 -40.33 1 8.17% Counts Sep 22nd Mid Atlantic Mens Club Regional Championship 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.