(2) #54 Virginia Tech (11-11)

1619.44 (34)

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# Opponent Result Effect % of Ranking Status Date Event
55 Florida State Loss 9-13 -17.09 3.85% Feb 8th Florida Warm Up 2019
15 Central Florida Loss 6-13 -9.19 3.85% Feb 8th Florida Warm Up 2019
13 Wisconsin Win 13-12 20.31 3.85% Feb 8th Florida Warm Up 2019
136 South Florida Win 11-8 -0.67 3.85% Feb 9th Florida Warm Up 2019
72 Alabama-Huntsville Loss 8-9 -9.86 3.65% Feb 9th Florida Warm Up 2019
127 Boston College Win 13-7 8.53 3.85% Feb 9th Florida Warm Up 2019
31 Texas A&M Loss 5-11 -17.27 3.54% Feb 9th Florida Warm Up 2019
98 Kansas Win 12-11 -5.26 3.85% Feb 10th Florida Warm Up 2019
73 Temple Win 12-10 3.99 3.85% Feb 10th Florida Warm Up 2019
33 Johns Hopkins Loss 8-13 -20.85 5.14% Mar 16th Oak Creek Invite 2019
66 Penn State Loss 11-13 -16.98 5.14% Mar 16th Oak Creek Invite 2019
108 North Carolina-Charlotte Win 13-3 16.58 5.14% Mar 16th Oak Creek Invite 2019
204 SUNY-Buffalo** Win 13-4 0 0% Ignored Mar 16th Oak Creek Invite 2019
147 Delaware Win 15-8 7.23 5.14% Mar 17th Oak Creek Invite 2019
102 Georgetown Win 15-11 6.12 5.14% Mar 17th Oak Creek Invite 2019
7 Carleton College-CUT Loss 7-13 -3.58 5.77% Mar 30th Easterns 2019 Men
43 Harvard Win 13-9 28.89 5.77% Mar 30th Easterns 2019 Men
22 Georgia Loss 10-12 -1.41 5.77% Mar 30th Easterns 2019 Men
1 North Carolina Loss 11-13 23.51 5.77% Mar 30th Easterns 2019 Men
24 Auburn Loss 12-13 3.21 5.77% Mar 31st Easterns 2019 Men
49 Northwestern Win 12-11 8.78 5.77% Mar 31st Easterns 2019 Men
32 William & Mary Loss 6-11 -24.24 5.46% Mar 31st Easterns 2019 Men
**Blowout Eligible

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.