(1) #218 Megalodon (6-14)

559.61 (4)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
195 Birds of Paradise Win 12-8 26.86 4 4.82% Counts Jul 20th Revolution 2019
184 DR Loss 9-12 -10.51 3 4.82% Counts Jul 20th Revolution 2019
260 Party Cats-D Win 11-6 13.77 3 4.56% Counts (Why) Jul 20th Revolution 2019
142 Superstition Loss 11-13 5.54 1 4.82% Counts Jul 20th Revolution 2019
237 Feral Cows Loss 7-12 -32.87 3 4.82% Counts Jul 21st Revolution 2019
163 VU Loss 6-13 -17.5 2 4.82% Counts (Why) Jul 21st Revolution 2019
261 Happy Cows Win 11-6 13.57 3 4.56% Counts (Why) Jul 21st Revolution 2019
161 Breakers Mark Loss 10-14 -7.48 6 5.41% Counts Aug 3rd Kleinman Eruption 2019
119 Bulleit Train Loss 6-15 -6.06 2 5.41% Counts (Why) Aug 3rd Kleinman Eruption 2019
67 The Administrators Loss 9-15 10.3 5 5.41% Counts Aug 3rd Kleinman Eruption 2019
127 Platypi Loss 5-15 -8.89 3 5.41% Counts (Why) Aug 3rd Kleinman Eruption 2019
253 Friendzone Win 13-7 19.43 5 5.41% Counts (Why) Aug 4th Kleinman Eruption 2019
276 SkyLab Win 15-9 8.26 6 5.41% Counts Aug 4th Kleinman Eruption 2019
239 Midnight Whiskey Loss 12-13 -14.58 6 5.41% Counts Aug 4th Kleinman Eruption 2019
9 Blackbird** Loss 2-13 0 6 0% Ignored (Why) Sep 7th Nor Cal Mixed Club Sectional Championship 2019
88 Alchemy Loss 7-12 5.69 3 7.22% Counts Sep 7th Nor Cal Mixed Club Sectional Championship 2019
66 Firefly** Loss 4-13 0 3 0% Ignored (Why) Sep 7th Nor Cal Mixed Club Sectional Championship 2019
184 DR Win 10-9 20.46 3 7.22% Counts Sep 7th Nor Cal Mixed Club Sectional Championship 2019
118 Absolute Zero Loss 3-13 -8.21 3 7.22% Counts (Why) Sep 8th Nor Cal Mixed Club Sectional Championship 2019
145 The Los Gatos Gatos-Senior Loss 7-13 -17.85 3 7.22% Counts Sep 8th Nor Cal 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.