() #212 Mixed Results (6-18)

514.05 (7)

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# Opponent Result Effect % of Ranking Status Date Event
63 Rowdy** Loss 0-13 0 0% Ignored Jun 23rd Summer Glazed Daze 2018
224 Stormborn Win 13-6 17.63 3.82% Jun 23rd Summer Glazed Daze 2018
42 Mixfits** Loss 5-13 0 0% Ignored Jun 23rd Summer Glazed Daze 2018
41 Storm** Loss 3-13 0 0% Ignored Jun 23rd Summer Glazed Daze 2018
101 Tyrannis Loss 4-13 -0.07 3.82% Jun 24th Summer Glazed Daze 2018
219 Carolina Reign Loss 11-14 -15.98 3.82% Jun 24th Summer Glazed Daze 2018
149 Crucible Loss 7-15 -9.32 3.82% Jun 24th Summer Glazed Daze 2018
115 STAX Loss 7-13 -1.52 4.25% Jul 7th Huckfest 2018
177 OutKast Win 13-9 26.73 4.25% Jul 7th Huckfest 2018
151 LoveShack Loss 8-13 -6.83 4.25% Jul 7th Huckfest 2018
226 Baywatch Win 7-6 -1.57 3.52% Jul 7th Huckfest 2018
238 Strictly Bidness Win 13-5 12.15 4.25% Jul 8th Huckfest 2018
175 Possum Loss 8-13 -12.34 4.25% Jul 8th Huckfest 2018
188 Hairy Otter Loss 8-12 -13.95 4.25% Jul 8th Huckfest 2018
208 Bonfire Loss 2-10 -33.06 5.4% Aug 25th Indy Invite Club 2018
38 Columbus Cocktails** Loss 4-11 0 0% Ignored Aug 26th Indy Invite Club 2018
103 Trash Pandas Loss 1-11 -0.53 5.67% Aug 26th Indy Invite Club 2018
134 Petey's Pirates Loss 3-11 -9.39 5.67% Aug 26th Indy Invite Club 2018
172 Los Heros Loss 6-8 -3.91 5.3% Aug 26th Indy Invite Club 2018
238 Strictly Bidness Win 12-9 1.38 6.87% Sep 8th East Coast Mixed Sectional Championship 2018
151 LoveShack Loss 9-11 6.88 6.87% Sep 8th East Coast Mixed Sectional Championship 2018
84 'Shine Loss 6-12 9.19 6.69% Sep 8th East Coast Mixed Sectional Championship 2018
- sKNO cone Loss 8-12 -4.23 6.87% Sep 8th East Coast Mixed Sectional Championship 2018
213 Heartbreakers Win 11-5 39.38 6.31% 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.