(23) #276 Mississippi (2-16)

477.49 (48)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
49 Alabama-Huntsville** Loss 0-11 0 24 0% Ignored (Why) Jan 18th TTown Throwdown 2020 Open
57 Illinois** Loss 2-11 0 10 0% Ignored (Why) Jan 18th TTown Throwdown 2020 Open
172 South Florida Loss 5-11 -8.01 24 5.62% Counts (Why) Jan 18th TTown Throwdown 2020 Open
25 Georgia Tech** Loss 3-13 0 21 0% Ignored (Why) Jan 18th TTown Throwdown 2020 Open
99 Central Florida Loss 8-15 11.05 10 6.12% Counts Jan 18th TTown Throwdown 2020 Open
172 South Florida Loss 7-15 -8.78 24 6.12% Counts (Why) Jan 19th TTown Throwdown 2020 Open
80 Boston College** Loss 3-10 0 130 0% Ignored (Why) Feb 22nd Music City Tune Up 2020
146 Michigan State Loss 4-13 -5.49 84 7.99% Counts (Why) Feb 22nd Music City Tune Up 2020
101 Vanderbilt Loss 6-13 11.49 81 7.99% Counts (Why) Feb 22nd Music City Tune Up 2020
300 Belmont University Win 14-6 40.19 95 7.99% Counts (Why) Feb 23rd Music City Tune Up 2020
281 Butler Loss 8-11 -34.34 121 7.99% Counts Feb 23rd Music City Tune Up 2020
289 Olivet Nazarene Win 14-5 46.45 126 7.99% Counts (Why) Feb 23rd Music City Tune Up 2020
153 Florida State Loss 4-13 -6.79 21 8.43% Counts (Why) Feb 29th Mardi Gras XXXIII
87 Texas State** Loss 2-13 0 4 0% Ignored (Why) Feb 29th Mardi Gras XXXIII
230 Sam Houston State Loss 8-13 -21.81 11 8.43% Counts Feb 29th Mardi Gras XXXIII
157 Iowa Loss 7-13 -3.68 26 8.43% Counts Feb 29th Mardi Gras XXXIII
175 Alabama-Birmingham Loss 8-13 -3.8 23 8.43% Counts Mar 1st Mardi Gras XXXIII
288 St John's Loss 11-12 -16.56 13 8.43% Counts Mar 1st Mardi Gras XXXIII
**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.