(3) #110 Dreadnought (11-13)

769.38 (29)

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# Opponent Result Effect % of Ranking Status Date Event
143 Foxtrot Win 13-7 9.49 3.24% Jun 30th Texas Two Finger 2018
150 The Bayou Boys Win 13-5 5.75 3.24% Jun 30th Texas Two Finger 2018
129 Prime Win 10-8 4.49 3.15% Jun 30th Texas Two Finger 2018
83 Supercell Loss 8-13 -10.88 3.24% Jul 1st Texas Two Finger 2018
69 Gamble Loss 11-13 1.18 3.24% Jul 1st Texas Two Finger 2018
95 Scythe Loss 9-11 -5.51 3.8% Jul 21st The Royal Experience 18
59 Mallard Loss 6-11 -8.13 3.6% Jul 21st The Royal Experience 18
60 DeMo Loss 10-12 3.52 3.8% Jul 21st The Royal Experience 18
153 Rawhide Win 11-9 -8.38 3.8% Jul 21st The Royal Experience 18
130 Syndicate Loss 7-11 -23.25 3.7% Jul 21st The Royal Experience 18
153 Rawhide Win 13-4 5.48 3.8% Jul 22nd The Royal Experience 18
- Confluence Win 11-4 0.82 3.49% Jul 22nd The Royal Experience 18
101 Memphis Belle Loss 8-12 -17.77 4.46% Aug 11th Hootie on the Hill 2018
153 Rawhide Win 13-5 6.48 4.46% Aug 11th Hootie on the Hill 2018
83 Supercell Loss 10-11 2.16 4.46% Aug 11th Hootie on the Hill 2018
83 Supercell Win 13-11 18.68 4.46% Aug 12th Hootie on the Hill 2018
101 Memphis Belle Loss 13-14 -3.01 4.46% Aug 12th Hootie on the Hill 2018
153 Rawhide Win 15-7 8.11 5.52% Sep 8th Ozarks Mens Sectional Championship 2018
83 Supercell Loss 10-14 -13.29 5.52% Sep 8th Ozarks Mens Sectional Championship 2018
92 Choice City Hops Loss 12-14 -6.7 6.14% Sep 22nd South Central Mens Regional Championship 2018
84 Gaucho Loss 13-15 -2.9 6.14% Sep 22nd South Central Mens Regional Championship 2018
24 Inception** Loss 4-13 0 0% Ignored Sep 22nd South Central Mens Regional Championship 2018
147 DUCS Win 15-8 13.55 6.14% Sep 23rd South Central Mens Regional Championship 2018
130 Syndicate Win 15-10 20.62 6.14% Sep 23rd South Central 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.