() #224 Stormborn (4-21)

357.45 (9)

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# Opponent Result Effect % of Ranking Status Date Event
212 Mixed Results Loss 6-13 -17.7 3.84% Jun 23rd Summer Glazed Daze 2018
42 Mixfits** Loss 2-13 0 0% Ignored Jun 23rd Summer Glazed Daze 2018
101 Tyrannis** Loss 3-13 0 0% Ignored Jun 23rd Summer Glazed Daze 2018
63 Rowdy** Loss 4-12 0 0% Ignored Jun 23rd Summer Glazed Daze 2018
192 RnB Loss 11-13 1.3 3.84% Jun 24th Summer Glazed Daze 2018
153 APEX Loss 9-13 3.09 3.84% Jun 24th Summer Glazed Daze 2018
41 Storm** Loss 2-13 0 0% Ignored Jun 24th Summer Glazed Daze 2018
156 Heavy Flow Loss 7-9 9.25 4.36% Jul 21st SunRise Open 2018
132 HVAC Loss 7-9 14.85 4.36% Jul 21st SunRise Open 2018
173 Fake Newport News Loss 6-11 -7.65 4.49% Jul 21st SunRise Open 2018
207 District Cocktails Loss 9-11 -3.54 4.75% Jul 22nd SunRise Open 2018
243 SPACE INVADERS Win 12-9 0.43 4.75% Jul 22nd SunRise Open 2018
206 Varsity Loss 3-7 -17.49 4.05% Aug 11th Philly Open 2018
156 Heavy Flow Loss 6-13 -6.96 5.58% Aug 11th Philly Open 2018
232 Baltimore BENCH Win 5-4 2.27 3.84% Aug 11th Philly Open 2018
83 Birds Loss 6-13 15.83 5.58% Aug 11th Philly Open 2018
165 Unlimited Swipes Loss 8-9 17.03 5.27% Aug 12th Philly Open 2018
232 Baltimore BENCH Loss 5-9 -30.02 4.79% Aug 12th Philly Open 2018
- Hott Olson Loss 9-10 -8.53 6.9% Sep 8th Capital Mixed Sectional Championship 2018
- Huck Norris Win 9-5 21.57 5.92% Sep 8th Capital Mixed Sectional Championship 2018
24 Rally** Loss 2-11 0 0% Ignored Sep 8th Capital Mixed Sectional Championship 2018
99 Legion Loss 5-11 10.67 6.33% Sep 8th Capital Mixed Sectional Championship 2018
- Fireball Loss 5-11 18.19 6.33% Sep 8th Capital Mixed Sectional Championship 2018
- Vacation Win 9-5 9.52 5.92% Sep 9th Capital Mixed Sectional Championship 2018
232 Baltimore BENCH Loss 4-7 -31.28 5.25% Sep 9th Capital 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.