(2) #67 Red Circus (13-7)

1039.52 (40)

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# Opponent Result Effect % of Ranking Status Date Event
134 Watch City Win 15-10 0.11 3.64% Jun 23rd Boston Invite 2018
158 Shades** Win 15-1 0 0% Ignored Jun 23rd Boston Invite 2018
96 Shrike Win 15-11 7.7 3.64% Jun 23rd Boston Invite 2018
113 Club M - Magma Loss 10-15 -27.57 3.64% Jun 24th Boston Invite 2018
134 Watch City Win 15-14 -12.32 3.64% Jun 24th Boston Invite 2018
- BUDA Win 11-9 -2.4 3.64% Jun 24th Boston Invite 2018
122 Baked Beans Win 11-8 2 6.55% Sep 8th East New England Mens Sectional Championship 2018
131 Somerville BAG Win 11-7 3.8 6.38% Sep 8th East New England Mens Sectional Championship 2018
77 Deathsquad Win 10-8 13.9 6.38% Sep 8th East New England Mens Sectional Championship 2018
- Bowdoin Win 11-7 -15.16 6.38% Sep 8th East New England Mens Sectional Championship 2018
29 Big Wrench Loss 11-13 7.68 6.55% Sep 9th East New England Mens Sectional Championship 2018
77 Deathsquad Loss 9-11 -21.58 6.55% Sep 9th East New England Mens Sectional Championship 2018
167 Neap Tide** Win 11-3 0 0% Ignored Sep 9th East New England Mens Sectional Championship 2018
94 Red Tide Loss 8-11 -36.71 6.55% Sep 9th East New England Mens Sectional Championship 2018
14 GOAT** Loss 3-15 0 0% Ignored Sep 22nd Northeast Mens Regional Championship 2018
45 Mockingbird Win 15-13 32.5 7.29% Sep 22nd Northeast Mens Regional Championship 2018
85 Pesterbug Win 15-11 21.37 7.29% Sep 22nd Northeast Mens Regional Championship 2018
28 Phoenix Loss 6-15 -20.41 7.29% Sep 22nd Northeast Mens Regional Championship 2018
54 Blueprint Win 14-13 19.2 7.29% Sep 23rd Northeast Mens Regional Championship 2018
11 DiG Loss 11-15 29.6 7.29% Sep 23rd Northeast Mens Regional 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.