(31) #291 Pacific Lutheran (5-12)

703.37 (26)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
399 Seattle Win 13-3 9.29 75 6.94% Counts (Why) Mar 2nd 19th Annual PLU BBQ Open
326 Western Washington University-B Win 12-8 23.81 92 6.94% Counts Mar 2nd 19th Annual PLU BBQ Open
99 Lewis & Clark Loss 8-12 15.97 25 6.94% Counts Mar 2nd 19th Annual PLU BBQ Open
168 Whitworth Loss 7-12 -10.18 13 6.94% Counts Mar 2nd 19th Annual PLU BBQ Open
99 Lewis & Clark** Loss 6-15 0 25 0% Ignored (Why) Mar 3rd 19th Annual PLU BBQ Open
162 Washington State Loss 7-14 -13.17 35 6.94% Counts Mar 3rd 19th Annual PLU BBQ Open
383 Washington-C Win 15-3 14.93 59 6.94% Counts (Why) Mar 3rd 19th Annual PLU BBQ Open
71 Michigan Tech** Loss 4-12 0 70 0% Ignored (Why) Mar 9th D III Midwestern Invite 2019
186 Macalester Loss 8-11 -2.96 44 7.35% Counts Mar 9th D III Midwestern Invite 2019
332 Milwaukee School of Engineering Loss 11-12 -21.35 121 7.35% Counts Mar 9th D III Midwestern Invite 2019
84 Brandeis** Loss 3-9 0 115 0% Ignored (Why) Mar 10th D III Midwestern Invite 2019
192 Gonzaga Loss 4-13 -26.89 7 8.74% Counts (Why) Mar 30th 2019 NW Challenge Tier 2 3
99 Lewis & Clark** Loss 5-13 0 25 0% Ignored (Why) Mar 30th 2019 NW Challenge Tier 2 3
326 Western Washington University-B Win 13-11 10.26 92 8.74% Counts Mar 30th 2019 NW Challenge Tier 2 3
121 Puget Sound Loss 8-13 7.8 60 8.74% Counts Mar 30th 2019 NW Challenge Tier 2 3
241 Washington-B Loss 1-13 -39.73 212 8.74% Counts (Why) Mar 31st 2019 NW Challenge Tier 2 3
326 Western Washington University-B Win 15-10 31.78 92 8.74% Counts Mar 31st 2019 NW Challenge Tier 2 3
**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.