() #153 APEX (10-11)

853.35 (9)

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# Opponent Result Effect % of Ranking Status Date Event
79 8 Bit Heroes Loss 7-12 -5.58 4.1% Jun 23rd Summer Glazed Daze 2018
219 Carolina Reign Win 13-6 7.35 4.1% Jun 23rd Summer Glazed Daze 2018
18 Loco Loss 10-13 23.62 4.1% Jun 23rd Summer Glazed Daze 2018
54 JLP Loss 6-13 -5.45 4.1% Jun 23rd Summer Glazed Daze 2018
156 Heavy Flow Win 9-0 20.57 3.39% Jun 24th Summer Glazed Daze 2018
78 Malice in Wonderland Loss 6-13 -8.96 4.1% Jun 24th Summer Glazed Daze 2018
224 Stormborn Win 13-9 -3.3 4.1% Jun 24th Summer Glazed Daze 2018
176 ThunderCats Win 13-7 17.54 4.1% Jun 24th Summer Glazed Daze 2018
207 District Cocktails Win 10-9 -10.29 5.07% Jul 21st SunRise Open 2018
95 Ant Madness Loss 4-13 -16.35 5.07% Jul 21st SunRise Open 2018
243 SPACE INVADERS** Win 13-2 0 0% Ignored Jul 21st SunRise Open 2018
156 Heavy Flow Loss 9-13 -23.1 5.07% Jul 22nd SunRise Open 2018
132 HVAC Loss 8-13 -20.67 5.07% Jul 22nd SunRise Open 2018
63 Rowdy Loss 5-15 -8.8 5.07% Jul 22nd SunRise Open 2018
56 Murmur Loss 5-10 -7.43 6.54% Sep 8th East Coast Mixed Sectional Championship 2018
188 Hairy Otter Win 10-9 -6.93 7.37% Sep 8th East Coast Mixed Sectional Championship 2018
238 Strictly Bidness** Win 13-5 0 0% Ignored Sep 8th East Coast Mixed Sectional Championship 2018
151 LoveShack Win 12-9 27.71 7.37% Sep 8th East Coast Mixed Sectional Championship 2018
84 'Shine Loss 6-12 -16.31 7.17% Sep 9th East Coast Mixed Sectional Championship 2018
54 JLP Loss 9-13 4.29 7.37% Sep 9th East Coast Mixed Sectional Championship 2018
177 OutKast Win 11-5 32.17 6.76% Sep 9th East Coast Mixed Sectional Championship 2018
**Blowout Eligible

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.