(7) #38 Sprawl (21-5)

1415.16 (126)

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# Opponent Result Effect % of Ranking Status Date Event
79 The Killjoys Win 11-6 4.68 3.15% Jul 8th San Diego Slammer 2017
113 Thundersnow Win 11-5 -0.43 3.15% Jul 8th San Diego Slammer 2017
126 ISO Atmo** Win 11-3 0 0% Ignored Jul 8th San Diego Slammer 2017
55 Streetgang Win 10-9 -2.8 3.15% Jul 8th San Diego Slammer 2017
91 Rip City Ultimate Win 11-3 4.21 3.15% Jul 8th San Diego Slammer 2017
36 Voodoo Win 15-14 4.35 3.15% Jul 9th San Diego Slammer 2017
51 Sundowners Win 15-10 8.88 3.15% Jul 9th San Diego Slammer 2017
- Madd Dogg** Win 13-3 0 0% Ignored Aug 19th Ski Town Classic 2017
123 DTH Win 13-9 -11.95 4.34% Aug 19th Ski Town Classic 2017
70 Choice City Hops Win 13-8 6.24 4.34% Aug 19th Ski Town Classic 2017
52 Republic Win 14-12 1.59 4.34% Aug 20th Ski Town Classic 2017
79 The Killjoys Win 13-4 8.95 4.34% Aug 20th Ski Town Classic 2017
51 Sundowners Win 13-11 2.19 4.34% Aug 20th Ski Town Classic 2017
113 Thundersnow Win 13-6 -0.72 5.09% Sep 9th 2017 So Cal Mens Sectionals
157 Brawl** Win 13-4 0 0% Ignored Sep 9th 2017 So Cal Mens Sectionals
51 Sundowners Win 11-10 -2.98 5.09% Sep 9th 2017 So Cal Mens Sectionals
169 Gridlock** Win 13-2 0 0% Ignored Sep 9th 2017 So Cal Mens Sectionals
55 Streetgang Win 13-8 15.28 5.09% Sep 9th 2017 So Cal Mens Sectionals
16 SoCal Condors Loss 11-13 6.32 5.09% Sep 10th 2017 So Cal Mens Sectionals
55 Streetgang Loss 10-12 -24.09 5.09% Sep 10th 2017 So Cal Mens Sectionals
52 Republic Win 11-10 -3.66 5.66% Sep 23rd Southwest Mens Regionals 2017
1 Revolver Loss 8-15 9.65 5.66% Sep 23rd Southwest Mens Regionals 2017
18 Guerrilla Loss 7-13 -20.73 5.66% Sep 23rd Southwest Mens Regionals 2017
55 Streetgang Win 13-9 12.45 5.66% Sep 23rd Southwest Mens Regionals 2017
55 Streetgang Win 15-12 5.36 5.66% Sep 24th Southwest Mens Regionals 2017
18 Guerrilla Loss 6-15 -23.28 5.66% Sep 24th Southwest Mens Regionals 2017
**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.