() #127 HouSE (8-11)

691.38 (9)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
45 STL Lounar Loss 9-15 1.69 54 4.4% Counts Jul 9th Heavyweights 2022
91 Beacon Loss 8-14 -13.75 72 4.4% Counts Jul 9th Heavyweights 2022
26 Trident I** Loss 3-15 0 43 0% Ignored (Why) Jul 9th Heavyweights 2022
111 Flying Dutchmen Loss 10-15 -15.95 65 4.4% Counts Jul 10th Heavyweights 2022
132 Timber Win 15-12 12.06 3 4.4% Counts Jul 10th Heavyweights 2022
- Red Hots - u20 Win 15-10 6.19 10 4.4% Counts Jul 10th Heavyweights 2022
116 Chimney Win 13-9 31.74 27 6.06% Counts Aug 20th Cooler Classic 33
125 Nain Rouge Win 13-9 27.73 16 6.06% Counts Aug 20th Cooler Classic 33
132 Timber Loss 10-13 -23.66 3 6.06% Counts Aug 20th Cooler Classic 33
129 Nomads Win 13-9 25.96 7 6.06% Counts Aug 20th Cooler Classic 33
59 DeMo Loss 6-13 -8.59 11 6.06% Counts (Why) Aug 21st Cooler Classic 33
56 Kansas City Smokestack Loss 7-13 -4.93 30 6.06% Counts Aug 21st Cooler Classic 33
68 Knights of Ni Loss 10-12 10.21 1 6.06% Counts Aug 21st Cooler Classic 33
141 DINGWOP Win 12-10 5.9 10 7.11% Counts Sep 10th 2022 Northwest Plains Mens Sectional Championship
22 Sub Zero** Loss 4-15 0 8 0% Ignored (Why) Sep 10th 2022 Northwest Plains Mens Sectional Championship
140 NOMAD Loss 10-15 -46.83 0 7.11% Counts Sep 10th 2022 Northwest Plains Mens Sectional Championship
161 Overdrive Win 15-8 10.4 19 7.11% Counts (Why) Sep 10th 2022 Northwest Plains Mens Sectional Championship
132 Timber Loss 14-15 -12.52 3 7.11% Counts Sep 11th 2022 Northwest Plains Mens Sectional Championship
168 THE BODY Win 15-9 -6.03 12 7.11% Counts Sep 11th 2022 Northwest Plains Mens 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.