(28) #42 Michigan (9-10)

1566.42 (170)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
9 Brown Loss 9-13 1.97 49 4.69% Counts Feb 2nd Florida Warm Up 2024
97 Florida State Win 13-10 0.47 0 4.69% Counts Feb 2nd Florida Warm Up 2024
20 Northeastern Loss 9-13 -7.61 65 4.69% Counts Feb 2nd Florida Warm Up 2024
17 Brigham Young Loss 12-13 9.06 39 4.69% Counts Feb 3rd Florida Warm Up 2024
56 Emory Loss 11-12 -12 31 4.69% Counts Feb 3rd Florida Warm Up 2024
37 Texas A&M Loss 10-14 -18.42 2 4.69% Counts Feb 4th Florida Warm Up 2024
355 Concordia-Wisconsin** Win 13-2 0 15 0% Ignored (Why) Mar 16th Grand Rapids College Invite
275 Western Michigan** Win 13-2 0 60 0% Ignored (Why) Mar 16th Grand Rapids College Invite
364 Michigan State-B** Win 13-4 0 77 0% Ignored (Why) Mar 16th Grand Rapids College Invite
102 Davenport Win 10-8 -5.97 44 6.46% Counts Mar 17th Grand Rapids College Invite
155 Grace Win 12-10 -21.75 78 6.63% Counts Mar 17th Grand Rapids College Invite
122 Oberlin Win 11-9 -11.7 43 6.63% Counts Mar 17th Grand Rapids College Invite
1 North Carolina Loss 7-13 13.24 18 7.45% Counts Mar 30th Easterns 2024
34 Ohio State Win 13-11 24.48 140 7.45% Counts Mar 30th Easterns 2024
8 Vermont Loss 8-13 -1.93 36 7.45% Counts Mar 30th Easterns 2024
11 Minnesota Loss 5-13 -13.21 102 7.45% Counts (Why) Mar 30th Easterns 2024
12 Alabama-Huntsville Loss 10-13 7.97 3 7.45% Counts Mar 31st Easterns 2024
21 Tufts Win 15-14 31.16 79 7.45% Counts Mar 31st Easterns 2024
13 North Carolina State Loss 11-14 5.38 42 7.45% Counts Mar 31st Easterns 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.