(18) #44 Virginia (10-11)

1671.41 (126)

Click on column to sort  • 
# Opponent Result Effect % of Ranking Status Date Event
131 Chicago Win 12-8 1.52 4.03% Feb 9th Queen City Tune Up 2019 Men
24 Auburn Loss 6-12 -18.55 3.93% Feb 9th Queen City Tune Up 2019 Men
64 Ohio Loss 10-13 -19.34 4.03% Feb 9th Queen City Tune Up 2019 Men
26 North Carolina-Wilmington Loss 7-9 -6.52 3.7% Feb 9th Queen City Tune Up 2019 Men
24 Auburn Loss 9-15 -16.39 4.03% Feb 10th Queen City Tune Up 2019 Men
40 Dartmouth Win 15-9 22.3 4.03% Feb 10th Queen City Tune Up 2019 Men
79 Tulane Win 15-9 12.63 4.03% Feb 10th Queen City Tune Up 2019 Men
33 Johns Hopkins Loss 11-12 -2.91 4.27% Feb 16th Easterns Qualifier 2019
101 Connecticut Win 13-2 12.71 4.27% Feb 16th Easterns Qualifier 2019
145 Dayton Win 13-6 5.28 4.27% Feb 16th Easterns Qualifier 2019
88 Tennessee-Chattanooga Win 12-11 -5.68 4.27% Feb 16th Easterns Qualifier 2019
53 Indiana Win 14-13 3.58 4.27% Feb 17th Easterns Qualifier 2019
33 Johns Hopkins Win 15-9 25.68 4.27% Feb 17th Easterns Qualifier 2019
39 Vermont Win 15-10 21.78 4.27% Feb 17th Easterns Qualifier 2019
17 Minnesota Loss 9-13 -8.94 6.04% Mar 30th Easterns 2019 Men
45 California-Santa Barbara Loss 10-13 -21.63 6.04% Mar 30th Easterns 2019 Men
9 Massachusetts Loss 6-13 -13.24 6.04% Mar 30th Easterns 2019 Men
3 Oregon Loss 8-13 1.38 6.04% Mar 30th Easterns 2019 Men
43 Harvard Win 12-10 15.37 6.04% Mar 31st Easterns 2019 Men
26 North Carolina-Wilmington Loss 10-12 -8.27 6.04% Mar 31st Easterns 2019 Men
28 Northeastern Loss 11-12 -1.32 6.04% 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.