(3) #36 Woodwork (12-8)

1591.55 (34)

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# Opponent Result Effect % of Ranking Status Date Event
65 Flight Club Win 10-9 -5.92 4% Counts Jun 22nd Fort Collins Summer Solstice 2019
70 Rubix Win 13-7 11.29 4% Counts (Why) Jun 22nd Fort Collins Summer Solstice 2019
129 Instant Karma Win 13-7 -1.49 4% Counts (Why) Jun 22nd Fort Collins Summer Solstice 2019
5 shame. Loss 6-13 -8.01 4% Counts (Why) Jun 22nd Fort Collins Summer Solstice 2019
44 Mesteño Win 15-9 17.42 4% Counts Jun 23rd Fort Collins Summer Solstice 2019
17 Love Tractor Loss 9-14 -10.56 4% Counts Jun 23rd Fort Collins Summer Solstice 2019
20 MOONDOG Loss 9-15 -13.51 4% Counts Jun 23rd Fort Collins Summer Solstice 2019
4 Wild Card Loss 9-12 5.28 5.22% Counts Jul 27th TCT Select Flight Invite East 2019
126 Tequila Mockingbird Win 13-5 0.51 5.22% Counts (Why) Jul 27th TCT Select Flight Invite East 2019
68 JLP Win 13-7 15.12 5.22% Counts (Why) Jul 27th TCT Select Flight Invite East 2019
59 8 Bit Heroes Win 14-13 -4.59 5.22% Counts Jul 27th TCT Select Flight Invite East 2019
4 Wild Card Loss 6-13 -8.75 5.22% Counts (Why) Jul 28th TCT Select Flight Invite East 2019
22 Chalice Loss 10-13 -8.58 5.22% Counts Jul 28th TCT Select Flight Invite East 2019
26 Hybrid Win 12-9 25.81 5.22% Counts Jul 28th TCT Select Flight Invite East 2019
82 PanIC Win 13-8 8.22 6.13% Counts Aug 17th Cooler Classic 31
67 Northern Comfort Win 13-9 8.95 6.13% Counts Aug 17th Cooler Classic 31
26 Hybrid Loss 6-13 -31.15 6.13% Counts (Why) Aug 17th Cooler Classic 31
85 Risky Business Win 10-8 -7.88 5.97% Counts Aug 18th Cooler Classic 31
22 Chalice Win 8-7 17.14 5.45% Counts Aug 18th Cooler Classic 31
26 Hybrid Loss 7-9 -9.32 5.62% Counts Aug 18th Cooler Classic 31
**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.