(29) #84 Missouri S&T (16-4)

1307.9 (208)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
289 Olivet Nazarene Win 11-8 -32.51 126 5.78% Counts Feb 22nd Music City Tune Up 2020
212 Union (Tennessee) Win 13-5 5.89 127 5.78% Counts (Why) Feb 22nd Music City Tune Up 2020
281 Butler** Win 13-4 0 121 0% Ignored (Why) Feb 22nd Music City Tune Up 2020
80 Boston College Win 12-11 8.44 130 5.78% Counts Feb 23rd Music City Tune Up 2020
70 Middle Tennessee State Loss 11-12 -3.43 77 5.78% Counts Feb 23rd Music City Tune Up 2020
108 Chicago Win 15-10 20.12 255 5.78% Counts Feb 23rd Music City Tune Up 2020
127 Brandeis Win 9-8 -3.73 171 5.76% Counts Feb 29th FCS D III Tune Up 2020
116 Franciscan Win 13-10 11.26 152 6.09% Counts Feb 29th FCS D III Tune Up 2020
322 High Point** Win 13-1 0 120 0% Ignored (Why) Feb 29th FCS D III Tune Up 2020
97 Richmond Loss 12-13 -12.99 118 6.09% Counts Feb 29th FCS D III Tune Up 2020
155 North Carolina-Asheville Win 13-9 7 130 6.09% Counts Mar 1st FCS D III Tune Up 2020
170 Shippensburg Loss 11-13 -37.4 149 6.09% Counts Mar 1st FCS D III Tune Up 2020
135 Messiah Win 11-10 -7.58 143 6.09% Counts Mar 1st FCS D III Tune Up 2020
235 St. Thomas Win 10-7 -13.23 6.08% Counts Mar 7th Midwest Throwdown 2020
221 Michigan-B Win 13-4 2.68 6.43% Counts (Why) Mar 7th Midwest Throwdown 2020
350 Coe** Win 13-1 0 0% Ignored (Why) Mar 7th Midwest Throwdown 2020
67 Wisconsin-Milwaukee Win 10-9 14.34 17 6.43% Counts Mar 7th Midwest Throwdown 2020
33 Northwestern Loss 5-9 -10.02 51 5.52% Counts Mar 8th Midwest Throwdown 2020
89 Carleton College-GoP Win 9-4 32.03 36 5.32% Counts (Why) Mar 8th Midwest Throwdown 2020
133 Missouri Win 8-4 18.82 22 5.11% Counts (Why) Mar 8th Midwest Throwdown 2020
**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.