(52) #326 Western Washington University-B (6-16)

581.73 (92)

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# Opponent Result Effect % of Ranking Status Date Event
3 Oregon** Loss 2-15 0 0% Ignored Jan 26th Flat Tail Open 2019 Mens
162 Washington State Loss 2-15 -2.96 3.93% Jan 26th Flat Tail Open 2019 Mens
383 Washington-C Win 15-14 -6.26 3.93% Jan 26th Flat Tail Open 2019 Mens
402 Oregon State-B Win 15-9 5.6 3.93% Jan 27th Flat Tail Open 2019 Mens
312 Portland State Loss 6-15 -23.24 3.93% Jan 27th Flat Tail Open 2019 Mens
241 Washington-B Loss 8-15 -10.56 3.93% Jan 27th Flat Tail Open 2019 Mens
399 Seattle Win 11-10 -12.67 5.25% Mar 2nd 19th Annual PLU BBQ Open
291 Pacific Lutheran Loss 8-12 -17.7 5.25% Mar 2nd 19th Annual PLU BBQ Open
99 Lewis & Clark Loss 6-13 9.81 5.25% Mar 2nd 19th Annual PLU BBQ Open
192 Gonzaga Loss 7-12 -4.41 5.25% Mar 2nd 19th Annual PLU BBQ Open
399 Seattle Win 12-8 4.85 5.25% Mar 3rd 19th Annual PLU BBQ Open
312 Portland State Win 14-8 33.46 5.56% Mar 9th Palouse Open 2019
305 Boise State Win 11-7 30.18 5.41% Mar 9th Palouse Open 2019
168 Whitworth Loss 11-13 16.29 5.56% Mar 9th Palouse Open 2019
59 Oregon State Loss 9-15 27.38 5.56% Mar 10th Palouse Open 2019
162 Washington State Loss 9-15 0.72 5.56% Mar 10th Palouse Open 2019
291 Pacific Lutheran Loss 11-13 -7.59 6.61% Mar 30th 2019 NW Challenge Tier 2 3
121 Puget Sound** Loss 4-13 0 0% Ignored Mar 30th 2019 NW Challenge Tier 2 3
99 Lewis & Clark** Loss 4-13 0 0% Ignored Mar 30th 2019 NW Challenge Tier 2 3
192 Gonzaga Loss 7-13 -8.26 6.61% Mar 30th 2019 NW Challenge Tier 2 3
291 Pacific Lutheran Loss 10-15 -23.5 6.61% Mar 31st 2019 NW Challenge Tier 2 3
280 Idaho Loss 10-13 -11.02 6.61% Mar 31st 2019 NW Challenge Tier 2 3
**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.