(2) #11 North Carolina State (19-7) AC 2

2027.57 (23)

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# Opponent Result Effect % of Ranking Status Date Event
94 Appalachian State Win 13-6 -1.7 2.98% Jan 26th Carolina Kickoff 2019
55 Florida State Win 13-2 5.66 2.98% Jan 26th Carolina Kickoff 2019
73 Temple Win 13-3 1.64 2.98% Jan 26th Carolina Kickoff 2019
69 Emory Win 15-9 -0.11 2.98% Jan 27th Carolina Kickoff 2019
78 Carleton College-GoP Win 15-5 0.93 2.98% Jan 27th Carolina Kickoff 2019
1 North Carolina Loss 12-15 -2.96 2.98% Jan 27th Carolina Kickoff 2019
36 Alabama Win 11-7 5.48 3.26% Feb 9th Queen City Tune Up 2019 Men
57 Carnegie Mellon Win 12-8 0.03 3.35% Feb 9th Queen City Tune Up 2019 Men
52 Notre Dame Win 13-8 3.3 3.35% Feb 9th Queen City Tune Up 2019 Men
108 North Carolina-Charlotte Win 13-7 -5.03 3.35% Feb 9th Queen City Tune Up 2019 Men
9 Massachusetts Loss 16-17 -3.02 3.35% Feb 10th Queen City Tune Up 2019 Men
14 Ohio State Win 15-13 6.19 3.35% Feb 10th Queen City Tune Up 2019 Men
26 North Carolina-Wilmington Win 15-11 4.66 3.35% Feb 10th Queen City Tune Up 2019 Men
62 Duke Win 13-9 -2.41 3.98% Mar 7th Atlantic Coast Showcase 3719
25 South Carolina Win 13-8 11.25 4.22% Mar 9th Classic City Invite 2019
61 Tennessee Win 13-4 5.58 4.22% Mar 9th Classic City Invite 2019
20 Tufts Win 13-10 7.26 4.22% Mar 9th Classic City Invite 2019
4 Pittsburgh Loss 5-10 -16.23 3.75% Mar 10th Classic City Invite 2019
9 Massachusetts Loss 8-11 -14.44 4.22% Mar 10th Classic City Invite 2019
26 North Carolina-Wilmington Loss 8-9 -15.45 3.99% Mar 10th Classic City Invite 2019
2 Brown Loss 10-13 -6.69 5.02% Mar 30th Easterns 2019 Men
24 Auburn Win 13-8 14.02 5.02% Mar 30th Easterns 2019 Men
47 Maryland Win 13-8 6.6 5.02% Mar 30th Easterns 2019 Men
28 Northeastern Win 13-8 12.92 5.02% Mar 30th Easterns 2019 Men
7 Carleton College-CUT Loss 8-13 -21.41 5.02% Mar 31st Easterns 2019 Men
20 Tufts Win 12-10 3.95 5.02% 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.