(35) #268 Orbit (2-17)

298.04 (4)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
271 Bold City Loss 5-9 -25.87 42 4.57% Counts Jun 15th ATL Classic 2019
47 Huntsville Outlaws** Loss 1-13 0 41 0% Ignored (Why) Jun 15th ATL Classic 2019
164 BATL Cows Loss 3-12 -2.25 34 5.11% Counts (Why) Jun 15th ATL Classic 2019
278 Baywatch Loss 8-9 -11.03 108 5.04% Counts Jun 15th ATL Classic 2019
235 Mississippi Blues Loss 8-13 -17.35 23 5.33% Counts Jun 16th ATL Classic 2019
252 Big Bend Loss 5-10 -22.85 32 4.73% Counts Jun 16th ATL Classic 2019
255 Mixchief Win 10-4 34.3 119 4.65% Counts (Why) Jun 16th ATL Classic 2019
235 Mississippi Blues Loss 9-10 4.19 23 6.25% Counts Jul 6th Huntsville Huckfest 2019
74 Trash Pandas** Loss 5-13 0 24 0% Ignored (Why) Jul 6th Huntsville Huckfest 2019
83 Old #7** Loss 4-13 0 6 0% Ignored (Why) Jul 6th Huntsville Huckfest 2019
174 Magic City Mayhem Loss 11-13 17.29 63 6.25% Counts Jul 6th Huntsville Huckfest 2019
230 The Umbrella Loss 10-11 6.03 74 6.25% Counts Jul 7th Huntsville Huckfest 2019
284 Mixed on the Rock Win 13-8 22.3 12 6.25% Counts Jul 7th Huntsville Huckfest 2019
167 Possum Loss 6-13 -4.13 56 6.25% Counts (Why) Jul 7th Huntsville Huckfest 2019
164 BATL Cows Loss 8-10 32.22 34 9.83% Counts Sep 7th East Coast Mixed Club Sectional Championship 2019
34 'Shine** Loss 0-13 0 68 0% Ignored (Why) Sep 7th East Coast Mixed Club Sectional Championship 2019
162 OutKast Loss 4-11 -2.57 31 9.27% Counts (Why) Sep 7th East Coast Mixed Club Sectional Championship 2019
167 Possum Loss 4-13 -6.96 56 10.1% Counts (Why) Sep 7th East Coast Mixed Club Sectional Championship 2019
230 The Umbrella Loss 9-13 -22.82 74 10.1% Counts Sep 8th East Coast Mixed Club Sectional 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.