(12) #95 Chicago (10-8)

1214.71 (89)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
42 Penn State Loss 9-14 -10.27 74 5.93% Counts Feb 11th Queen City Tune Up1
15 North Carolina State Loss 5-15 -0.59 69 5.93% Counts (Why) Feb 11th Queen City Tune Up1
25 North Carolina-Wilmington Loss 7-12 -2.59 69 5.93% Counts Feb 11th Queen City Tune Up1
35 Washington University Loss 11-15 0.85 68 5.93% Counts Feb 11th Queen City Tune Up1
122 Carnegie Mellon Win 11-9 7.36 54 5.93% Counts Feb 12th Queen City Tune Up1
61 Harvard Loss 11-12 3.07 193 5.93% Counts Feb 12th Queen City Tune Up1
279 Carleton College-Karls** Win 13-5 0 30 0% Ignored (Why) Mar 4th Midwest Throwdown 2023
88 St. Olaf Loss 9-11 -15.9 37 7.06% Counts Mar 4th Midwest Throwdown 2023
125 Marquette Loss 10-11 -20.94 58 7.06% Counts Mar 4th Midwest Throwdown 2023
263 Illinois-B** Win 10-2 0 22 0% Ignored (Why) Mar 5th Midwest Throwdown 2023
264 Wisconsin-Platteville** Win 13-3 0 32 0% Ignored (Why) Mar 5th Midwest Throwdown 2023
198 Illinois State Win 12-6 8.15 69 6.87% Counts (Why) Mar 5th Midwest Throwdown 2023
205 Alabama-Birmingham Win 11-6 3.45 105 7.07% Counts (Why) Mar 11th Tally Classic XVII
113 Clemson Win 10-6 29.59 94 6.86% Counts (Why) Mar 11th Tally Classic XVII
61 Harvard Win 9-8 22.73 193 7.07% Counts Mar 11th Tally Classic XVII
253 Georgia Southern Win 11-8 -28.85 79 7.47% Counts Mar 11th Tally Classic XVII
113 Clemson Win 10-9 2.48 94 7.47% Counts Mar 12th Tally Classic XVII
70 Notre Dame Loss 12-13 1.29 67 7.47% Counts Mar 12th Tally Classic XVII
**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.