(14) #67 Chicago (9-9)

1387.02 (40)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
24 British Columbia Loss 6-12 -6.9 42 3.99% Counts Jan 27th Santa Barbara Invite 2024
5 Cal Poly-SLO Loss 8-13 12.48 12 4.1% Counts Jan 27th Santa Barbara Invite 2024
79 Grand Canyon Win 11-9 8.68 111 4.1% Counts Jan 27th Santa Barbara Invite 2024
47 Oklahoma Christian Loss 7-11 -13.88 30 3.99% Counts Jan 27th Santa Barbara Invite 2024
54 California-Santa Barbara Loss 10-13 -10.51 55 4.1% Counts Jan 28th Santa Barbara Invite 2024
115 Southern California Win 13-10 5.39 59 4.1% Counts Jan 28th Santa Barbara Invite 2024
98 Dartmouth Win 8-8 -8.45 16 5.64% Counts Mar 16th College Mens Centex Tier 1
20 Northeastern Loss 7-13 -7.48 65 6.15% Counts Mar 16th College Mens Centex Tier 1
40 Illinois Loss 9-10 4.43 18 6.15% Counts Mar 16th College Mens Centex Tier 1
41 Florida Loss 6-8 -6.49 4 5.28% Counts Mar 16th College Mens Centex Tier 1
139 LSU Win 13-3 19.5 13 6.15% Counts (Why) Mar 17th College Mens Centex Tier 1
82 Central Florida Win 9-8 5.26 52 6.53% Counts Mar 30th Huck Finn 2024
204 Ohio Win 13-6 1.67 15 6.9% Counts (Why) Mar 30th Huck Finn 2024
118 Michigan Tech Win 11-10 -6.55 3 6.9% Counts Mar 30th Huck Finn 2024
108 Wisconsin-Milwaukee Win 12-8 18.82 78 6.9% Counts Mar 30th Huck Finn 2024
19 Washington University Loss 5-11 -8.24 112 6.33% Counts (Why) Mar 31st Huck Finn 2024
66 Virginia Loss 7-9 -18.4 111 6.33% Counts Mar 31st Huck Finn 2024
91 Indiana Win 9-7 11.03 100 6.33% Counts Mar 31st Huck Finn 2024
**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.