(28) #227 St John's (Minnesota) (9-9)

1029.82 (445)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
78 Carleton College-CHOP Loss 1-13 -1.56 255 5.76% Counts (Why) Mar 2nd Midwest Throwdown 2024
294 Knox Win 11-10 -10.2 307 5.76% Counts Mar 2nd Midwest Throwdown 2024
51 Missouri** Loss 3-13 0 250 0% Ignored (Why) Mar 2nd Midwest Throwdown 2024
143 Truman State Loss 5-10 -14.38 344 5.12% Counts Mar 2nd Midwest Throwdown 2024
373 Northwestern-B Win 9-6 -15.03 538 5.12% Counts Mar 3rd Midwest Throwdown 2024
161 Saint Louis Loss 6-9 -8.89 357 5.12% Counts Mar 3rd Midwest Throwdown 2024
320 Washington University-B Win 9-6 2.16 381 5.12% Counts Mar 3rd Midwest Throwdown 2024
223 Eastern Michigan Loss 7-8 -7.91 506 6.44% Counts Mar 30th Old Capitol Open 2024
373 Northwestern-B** Win 13-0 0 538 0% Ignored (Why) Mar 30th Old Capitol Open 2024
134 Macalester Loss 6-13 -20.15 226 7.25% Counts (Why) Mar 30th Old Capitol Open 2024
304 Luther College Win 12-7 14.52 447 7.25% Counts (Why) Mar 30th Old Capitol Open 2024
278 St Thomas Win 13-6 32.17 724 7.25% Counts (Why) Mar 31st Old Capitol Open 2024
304 Luther College Win 13-4 20.74 447 7.25% Counts (Why) Mar 31st Old Capitol Open 2024
391 Bethel** Win 15-4 0 0% Ignored (Why) Apr 13th Northwoods D III Mens Conferences 2024
353 Carleton College-Karls-C Win 13-6 5.72 282 8.14% Counts (Why) Apr 13th Northwoods D III Mens Conferences 2024
45 St Olaf Loss 8-14 21.76 308 8.14% Counts Apr 13th Northwoods D III Mens Conferences 2024
134 Macalester Loss 9-10 19.26 226 8.14% Counts Apr 14th Northwoods D III Mens Conferences 2024
278 St Thomas Loss 11-13 -37.01 724 8.14% Counts Apr 14th Northwoods D III Mens Conferences 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.