() #2 North Carolina (19-1) AC 1

2138.39 (76)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
40 Duke Win 15-10 -8.15 72 5.02% Counts Jan 27th Carolina Kickoff
53 Appalachian State Win 15-9 -10.03 76 5.02% Counts Jan 28th Carolina Kickoff
55 Georgetown Win 15-8 -8.58 67 5.02% Counts (Why) Jan 28th Carolina Kickoff
42 Penn State** Win 15-5 0 74 0% Ignored (Why) Jan 28th Carolina Kickoff
75 Richmond** Win 15-6 0 36 0% Ignored (Why) Jan 29th Carolina Kickoff
17 South Carolina Win 15-6 12.44 81 5.02% Counts (Why) Jan 29th Carolina Kickoff
15 North Carolina State Win 15-8 12.24 69 5.02% Counts (Why) Jan 29th Carolina Kickoff
47 Case Western Reserve Win 15-10 -13.69 46 5.63% Counts Feb 11th Queen City Tune Up1
73 Purdue** Win 15-6 0 88 0% Ignored (Why) Feb 11th Queen City Tune Up1
24 North Carolina-Charlotte Win 15-11 -3.39 60 5.63% Counts Feb 11th Queen City Tune Up1
61 Harvard Win 15-7 -8.95 193 5.63% Counts (Why) Feb 11th Queen City Tune Up1
13 Tufts Win 15-6 19.09 70 5.63% Counts (Why) Feb 12th Queen City Tune Up1
19 Ohio State Win 10-8 -7.53 69 5.48% Counts Feb 12th Queen City Tune Up1
18 Brown Win 13-9 1.89 74 6.7% Counts Mar 4th Smoky Mountain Invite
58 Auburn Win 13-6 -9.93 72 6.7% Counts (Why) Mar 4th Smoky Mountain Invite
12 Carleton College Win 13-8 15.89 68 6.7% Counts Mar 4th Smoky Mountain Invite
21 Georgia Win 13-11 -12.44 72 6.7% Counts Mar 4th Smoky Mountain Invite
1 Massachusetts Loss 12-15 -15.7 73 6.7% Counts Mar 5th Smoky Mountain Invite
4 Texas Win 15-8 32.16 72 6.7% Counts (Why) Mar 5th Smoky Mountain Invite
6 Colorado Win 15-13 4.9 70 6.7% Counts Mar 5th Smoky Mountain Invite
**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.