(3) #147 DINGWOP (10-10)

940.12 (73)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
127 Nomads Loss 6-8 -6.14 73 3.14% Counts Jun 18th Spirit of the Plains
219 THE BODY Win 7-1 5.21 76 2.65% Counts (Why) Jun 18th Spirit of the Plains
103 Scythe Loss 7-12 -10.32 61 3.85% Counts Jun 24th Spirit of the Plains
204 Loaded Panda Win 13-5 12.11 71 3.85% Counts (Why) Jun 24th Spirit of the Plains
192 Minnesota Superior B Loss 7-10 -22.76 75 3.65% Counts Jun 24th Spirit of the Plains
73 Knights of Ni Loss 7-13 -4.48 81 3.85% Counts Jun 24th Spirit of the Plains
233 BeMo Win 13-3 2.84 75 3.85% Counts (Why) Jun 25th Spirit of the Plains
170 Rubicon Rapids Loss 10-12 -21.84 77 5.9% Counts Aug 19th Cooler Classic 34
148 Minnesota Superior A Win 13-6 36.98 78 5.9% Counts (Why) Aug 19th Cooler Classic 34
135 Trident II Loss 7-13 -29.74 100 5.9% Counts Aug 19th Cooler Classic 34
204 Loaded Panda Win 11-7 10.31 71 5.75% Counts Aug 19th Cooler Classic 34
127 Nomads Loss 9-15 -25.38 73 5.9% Counts Aug 20th Cooler Classic 34
131 NOx Loss 9-15 -26.16 74 5.9% Counts Aug 20th Cooler Classic 34
159 Choice City Hops Win 9-6 20.1 75 5.25% Counts Aug 20th Cooler Classic 34
16 General Strike** Loss 6-15 0 109 0% Ignored (Why) Sep 9th 2023 Mens Northwest Plains Sectional Championship
96 Bux Loss 12-14 9.51 61 6.93% Counts Sep 9th 2023 Mens Northwest Plains Sectional Championship
236 Spin Doctors Win 15-12 -20 70 6.93% Counts Sep 9th 2023 Mens Northwest Plains Sectional Championship
194 UFO Win 15-11 11.7 64 6.93% Counts Sep 10th 2023 Mens Northwest Plains Sectional Championship
179 Timber Win 15-12 12.72 73 6.93% Counts Sep 10th 2023 Mens Northwest Plains Sectional Championship
106 MKE Win 15-11 46.41 61 6.93% Counts Sep 10th 2023 Mens Northwest Plains Sectional Championship
**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.