(23) #168 Lewis & Clark (7-11)

965.3 (15)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
192 Montana Win 14-12 7.31 47 5.66% Counts Jan 25th Pacific Confrontational Invite 2020
75 Nevada-Reno Loss 7-15 -12.27 21 5.66% Counts (Why) Jan 25th Pacific Confrontational Invite 2020
19 Oregon State** Loss 4-15 0 5 0% Ignored (Why) Jan 25th Pacific Confrontational Invite 2020
59 Whitman Loss 5-15 -7.5 3 5.66% Counts (Why) Jan 25th Pacific Confrontational Invite 2020
192 Montana Loss 13-14 -13.44 47 5.66% Counts Jan 26th Pacific Confrontational Invite 2020
142 Washington-B Loss 10-13 -15.29 34 5.66% Counts Jan 26th Pacific Confrontational Invite 2020
46 Arizona Loss 5-11 -0.4 1 5.77% Counts (Why) Feb 8th Stanford Open 2020
36 California-Santa Cruz Loss 6-12 5.5 2 6.12% Counts Feb 8th Stanford Open 2020
203 Cal Poly-SLO-B Win 12-5 29.47 16 6.04% Counts (Why) Feb 8th Stanford Open 2020
88 Claremont Loss 7-11 -9.67 0 6.12% Counts Feb 8th Stanford Open 2020
148 Sonoma State Win 5-2 25.51 10 3.82% Counts (Why) Feb 9th Stanford Open 2020
61 Washington University Loss 3-8 -7.25 3 4.9% Counts (Why) Feb 9th Stanford Open 2020
76 Puget Sound Loss 6-13 -18.38 190 7.79% Counts (Why) Mar 7th PLU BBQ 2020
327 George Fox** Win 13-4 0 0% Ignored (Why) Mar 7th PLU BBQ 2020
260 Oregon State-B Win 13-8 8.32 99 7.79% Counts Mar 7th PLU BBQ 2020
122 Portland Win 12-11 24.4 129 7.79% Counts Mar 8th PLU BBQ 2020
76 Puget Sound Loss 7-12 -11.66 190 7.79% Counts Mar 8th PLU BBQ 2020
298 Western Washington-B Win 13-7 -5.03 150 7.79% Counts (Why) Mar 8th PLU BBQ 2020
**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.