(13) #122 UpRoar (18-7)

733.67 (122)

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# Opponent Result Effect % of Ranking Status Date Event
165 Vicious Cycle Win 11-4 4.74 3.8% Jul 8th Swan Boat 2017
172 Space Coast Ultimate** Win 11-4 0 0% Ignored Jul 8th Swan Boat 2017
- GrandMaster Flash Win 11-7 -8.87 3.8% Jul 8th Swan Boat 2017
95 Omen Loss 3-11 -16.07 3.8% Jul 9th Swan Boat 2017
173 Tyranny** Win 11-3 0 0% Ignored Jul 9th Swan Boat 2017
147 El Niño Win 10-6 9.38 3.8% Jul 9th Swan Boat 2017
167 Hammerhead** Win 11-3 0 0% Ignored Jul 9th Swan Boat 2017
151 Shrimp Boat Win 11-6 8.75 3.8% Jul 9th Swan Boat 2017
- CerB WerB-B Win 15-6 7.7 4.7% Aug 5th Trestlemania 2017
167 Hammerhead Win 15-7 -0.39 4.7% Aug 5th Trestlemania 2017
92 BaNC Loss 10-12 -1.65 4.7% Aug 5th Trestlemania 2017
- Coastal Empire Loss 13-15 -6.18 4.7% Aug 5th Trestlemania 2017
94 Cerberus Loss 13-14 3.81 4.7% Aug 6th Trestlemania 2017
167 Hammerhead Win 15-8 -2.12 4.7% Aug 6th Trestlemania 2017
137 H.O.G. Ultimate Win 14-11 7.79 4.7% Aug 6th Trestlemania 2017
173 Tyranny Win 14-7 -12.95 5.23% Aug 19th Florida Warm Up Club 2017
172 Space Coast Ultimate Win 14-8 -13.75 5.23% Aug 19th Florida Warm Up Club 2017
147 El Niño Win 14-11 3.02 5.23% Aug 19th Florida Warm Up Club 2017
95 Omen Loss 5-15 -28.17 6.48% Sep 16th 2017 Florida Mens Sectionals
173 Tyranny** Win 13-2 0 0% Ignored Sep 16th 2017 Florida Mens Sectionals
165 Vicious Cycle Win 13-4 8.31 6.48% Sep 16th 2017 Florida Mens Sectionals
11 Florida United Loss 6-13 35.55 6.48% Sep 16th 2017 Florida Mens Sectionals
95 Omen Loss 11-14 -8.32 6.48% Sep 17th 2017 Florida Mens Sectionals
167 Hammerhead** Win 15-2 0 0% Ignored Sep 17th 2017 Florida Mens Sectionals
147 El Niño Win 14-10 9.7 6.48% Sep 17th 2017 Florida Mens Sectionals
**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.