(4) #111 Michigan State (14-6)

1058.24 (33)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
249 Alabama-Birmingham** Win 10-3 0 173 0% Ignored (Why) Feb 16th First Annual Jillz Jamboree
210 Cedarville Win 9-8 -19.46 229 4.15% Counts Feb 16th First Annual Jillz Jamboree
151 Kentucky Win 8-7 -2.89 44 3.9% Counts Feb 16th First Annual Jillz Jamboree
151 Kentucky Win 13-10 6.06 44 4.39% Counts Feb 17th First Annual Jillz Jamboree
140 Cincinnati Win 11-9 4.77 7 4.39% Counts Feb 17th First Annual Jillz Jamboree
98 Mississippi State Win 15-4 30.76 20 4.39% Counts (Why) Feb 17th First Annual Jillz Jamboree
85 Dayton Win 9-8 18.19 6 5.54% Counts Mar 23rd CWRUL Memorial 2019
94 Carnegie Mellon Loss 3-9 -24.12 126 4.85% Counts (Why) Mar 23rd CWRUL Memorial 2019
75 Purdue Loss 6-8 -3.74 12 5.03% Counts Mar 23rd CWRUL Memorial 2019
160 DePaul Win 12-11 -7.42 96 5.86% Counts Mar 23rd CWRUL Memorial 2019
81 Ohio Loss 7-9 -3.94 2 5.38% Counts Mar 24th CWRUL Memorial 2019
79 Ball State Win 9-8 19.95 19 5.54% Counts Mar 24th CWRUL Memorial 2019
58 Penn State Loss 8-12 -3.01 2 5.86% Counts Mar 24th CWRUL Memorial 2019
172 Northern Iowa Loss 8-9 -28.6 263 5.87% Counts Mar 30th Old Capitol Open 2019
89 Iowa State Loss 8-9 2.49 25 5.87% Counts Mar 30th Old Capitol Open 2019
193 Drake Win 8-7 -21.01 5.52% Counts Mar 30th Old Capitol Open 2019
149 Luther Win 8-7 -3.73 137 5.52% Counts Mar 30th Old Capitol Open 2019
177 Wisconsin-La Crosse Win 10-6 6.46 46 5.7% Counts (Why) Mar 31st Old Capitol Open 2019
175 Kansas Win 11-7 8.1 3 6.04% Counts Mar 31st Old Capitol Open 2019
162 Nebraska Win 14-7 21.27 56 6.21% Counts (Why) Mar 31st Old Capitol Open 2019
**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.