() #23 Pando (13-7)

1542 (1)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
9 DiG Loss 7-15 -15.79 1 5.55% Counts (Why) Aug 5th 2022 US Open Club Championships
22 Sub Zero Win 15-11 22.7 8 5.55% Counts Aug 5th 2022 US Open Club Championships
13 Revolver Loss 13-15 0.11 1 5.55% Counts Aug 5th 2022 US Open Club Championships
7 Johnny Bravo Loss 12-15 5.19 1 5.55% Counts Aug 6th 2022 US Open Club Championships
30 Emerald City Win 15-12 12.53 2 5.55% Counts Aug 6th 2022 US Open Club Championships
13 Revolver Loss 4-15 -22.55 1 5.55% Counts (Why) Aug 7th 2022 US Open Club Championships
72 Utah Hatu Win 11-4 7.53 0 5.97% Counts (Why) Aug 25th Utah Round Robin
72 Utah Hatu Win 11-4 7.53 0 5.97% Counts (Why) Aug 25th Utah Round Robin
- Old Ephraim** Win 11-3 0 1 0% Ignored (Why) Aug 25th Utah Round Robin
107 PowderHogs** Win 11-3 0 1 0% Ignored (Why) Aug 25th Utah Round Robin
- Low Point** Win 15-6 0 1 0% Ignored (Why) Sep 10th 2022 Big Sky Mens Sectional Championship
107 PowderHogs** Win 15-4 0 1 0% Ignored (Why) Sep 10th 2022 Big Sky Mens Sectional Championship
37 Sawtooth Win 15-9 22.19 0 7.24% Counts Sep 11th 2022 Big Sky Mens Sectional Championship
72 Utah Hatu Win 14-11 -13.13 0 7.24% Counts Sep 11th 2022 Big Sky Mens Sectional Championship
37 Sawtooth Loss 12-13 -31.22 0 8.06% Counts Sep 24th 2022 Northwest Mens Regional Championship
30 Emerald City Win 13-11 12.42 2 8.06% Counts Sep 24th 2022 Northwest Mens Regional Championship
107 PowderHogs** Win 13-3 0 1 0% Ignored (Why) Sep 24th 2022 Northwest Mens Regional Championship
8 Rhino Slam! Loss 7-13 -16.83 2 8.06% Counts Sep 24th 2022 Northwest Mens Regional Championship
25 Dark Star Win 15-13 16.3 1 8.06% Counts Sep 25th 2022 Northwest Mens Regional Championship
16 Furious George Loss 11-13 -7.47 1 8.06% Counts Sep 25th 2022 Northwest Mens Regional 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.