(15) #89 Carleton College-GoP (11-9)

1278.33 (36)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
1 North Carolina** Loss 2-13 0 44 0% Ignored (Why) Jan 25th Carolina Kickoff 2020
81 North Carolina-Charlotte Loss 8-9 -5.06 40 5.6% Counts Jan 25th Carolina Kickoff 2020
92 Duke Loss 8-12 -28.78 20 5.92% Counts Jan 25th Carolina Kickoff 2020
155 North Carolina-Asheville Win 11-7 11.37 130 5.77% Counts Jan 26th Carolina Kickoff 2020
153 Florida State Win 10-5 16.63 21 5.26% Counts (Why) Jan 26th Carolina Kickoff 2020
66 Georgetown Loss 9-10 -0.66 95 5.92% Counts Jan 26th Carolina Kickoff 2020
126 Chico State Win 10-3 27.13 6 5.76% Counts (Why) Feb 8th Stanford Open 2020
302 Santa Clara-B** Win 13-0 0 5 0% Ignored (Why) Feb 8th Stanford Open 2020
61 Washington University Win 11-5 48.03 3 6.05% Counts (Why) Feb 8th Stanford Open 2020
284 San Jose State** Win 13-0 0 7 0% Ignored (Why) Feb 8th Stanford Open 2020
75 Nevada-Reno Loss 5-6 -2.25 21 5.02% Counts Feb 9th Stanford Open 2020
88 Claremont Loss 4-5 -5.67 0 4.54% Counts Feb 9th Stanford Open 2020
54 California-Davis Loss 3-8 -21.64 11 5.13% Counts (Why) Feb 9th Stanford Open 2020
145 Nebraska Win 9-8 -11.35 37 7.72% Counts Mar 7th Midwest Throwdown 2020
198 Wisconsin-B-B Win 12-6 11.81 7.94% Counts (Why) Mar 7th Midwest Throwdown 2020
353 UW-Eau Claire-B** Win 13-0 0 0% Ignored (Why) Mar 7th Midwest Throwdown 2020
108 Chicago Win 8-5 25.89 255 6.75% Counts (Why) Mar 7th Midwest Throwdown 2020
112 Minnesota-Duluth Win 10-9 1.44 8.16% Counts Mar 8th Midwest Throwdown 2020
84 Missouri S&T Loss 4-9 -41.28 208 6.75% Counts (Why) Mar 8th Midwest Throwdown 2020
133 Missouri Loss 8-9 -25.98 22 7.72% Counts Mar 8th Midwest Throwdown 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.