(2) #134 Tennessee (7-12)

1017.86 (28)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
7 Massachusetts** Loss 5-15 0 34 0% Ignored (Why) Mar 5th Smoky Mountain Invite 2022
24 Ohio State** Loss 3-12 0 107 0% Ignored (Why) Mar 5th Smoky Mountain Invite 2022
1 Brown** Loss 4-13 0 23 0% Ignored (Why) Mar 5th Smoky Mountain Invite 2022
17 Texas** Loss 3-13 0 33 0% Ignored (Why) Mar 5th Smoky Mountain Invite 2022
40 Colorado State Loss 5-15 -6.58 14 5.73% Counts (Why) Mar 6th Smoky Mountain Invite 2022
8 Georgia** Loss 5-15 0 30 0% Ignored (Why) Mar 6th Smoky Mountain Invite 2022
29 UCLA Loss 5-15 -1.25 10 5.73% Counts (Why) Mar 6th Smoky Mountain Invite 2022
136 American Win 12-11 9.33 42 7.22% Counts Apr 2nd Atlantic Coast Open
238 George Mason Win 13-9 3.58 39 7.22% Counts Apr 2nd Atlantic Coast Open
214 Wooster Loss 11-13 -42.35 13 7.22% Counts Apr 2nd Atlantic Coast Open
27 William & Mary Loss 6-15 -0.18 85 7.22% Counts (Why) Apr 2nd Atlantic Coast Open
93 Harvard Win 14-12 30.72 37 7.22% Counts Apr 3rd Atlantic Coast Open
198 George Washington Win 15-12 3.53 37 7.22% Counts Apr 3rd Atlantic Coast Open
168 Kennesaw State Win 9-7 11.5 31 7.02% Counts Apr 9th Southern Appalachian D I College Mens CC 2022
111 Georgia State Loss 8-12 -28.83 25 7.65% Counts Apr 9th Southern Appalachian D I College Mens CC 2022
102 Emory Win 13-7 57.1 25 7.65% Counts (Why) Apr 9th Southern Appalachian D I College Mens CC 2022
121 Tennessee-Chattanooga Loss 11-12 -5.19 29 7.65% Counts Apr 9th Southern Appalachian D I College Mens CC 2022
168 Kennesaw State Loss 11-13 -29.45 31 7.65% Counts Apr 10th Southern Appalachian D I College Mens CC 2022
274 Georgia Southern Win 15-9 -1.88 18 7.65% Counts Apr 10th Southern Appalachian D I College Mens CC 2022
**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.