(1) #151 Queen City Kings (3-15)

350.36 (40)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
161 Scoop Win 11-10 1.27 38 6.82% Counts Jul 23rd Filling the Void
94 Dyno Loss 0-11 -3.67 47 6.25% Counts (Why) Jul 23rd Filling the Void
54 Brickhouse** Loss 1-11 0 15 0% Ignored (Why) Jul 23rd Filling the Void
95 Charleston Heat Stroke Loss 0-11 -4.08 32 6.25% Counts (Why) Jul 23rd Filling the Void
161 Scoop Win 11-8 18.87 38 6.82% Counts Jul 24th Filling the Void
110 Tennessee Folklore Loss 10-11 24.69 30 6.82% Counts Jul 24th Filling the Void
121 Raptor Loss 6-13 -15.8 47 6.82% Counts (Why) Jul 24th Filling the Void
129 SUPA FC Loss 6-13 -22.6 98 7.58% Counts (Why) Aug 6th Philly Open 2022
33 Blueprint** Loss 1-13 0 54 0% Ignored (Why) Aug 6th Philly Open 2022
112 Town Hall Stars Loss 4-13 -12.63 69 7.58% Counts (Why) Aug 6th Philly Open 2022
170 Deepfake Loss 0-1 -16.35 34 1.74% Counts (Why) Aug 7th Philly Open 2022
147 Richmond Floodwall Loss 6-8 -18.48 23 6.51% Counts Aug 7th Philly Open 2022
155 Rebels Win 10-8 20.26 41 7.38% Counts Aug 7th Philly Open 2022
- OG Turbine Loss 8-15 40.19 16 9.9% Counts Sep 10th 2022 North Carolina Mens Sectional Championship
54 Brickhouse** Loss 5-15 0 15 0% Ignored (Why) Sep 10th 2022 North Carolina Mens Sectional Championship
17 Raleigh-Durham United** Loss 1-15 0 4 0% Ignored (Why) Sep 10th 2022 North Carolina Mens Sectional Championship
125 Triumph Loss 10-14 -5.65 27 9.9% Counts Sep 11th 2022 North Carolina Mens Sectional Championship
- Right Coast Loss 6-12 -4.17 25 9.64% Counts Sep 11th 2022 North Carolina Mens Sectional Championship
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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.