(1) #13 Tufts (12-8) NE 4

2068.22 (37)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
52 Appalachian State Win 15-9 3.42 6 4.03% Counts Feb 11th Queen City Tune Up1
134 Carnegie Mellon** Win 15-6 0 18 0% Ignored (Why) Feb 11th Queen City Tune Up1
69 Maryland Win 15-8 1.54 29 4.03% Counts (Why) Feb 11th Queen City Tune Up1
27 South Carolina Win 15-11 6.77 73 4.03% Counts Feb 11th Queen City Tune Up1
20 North Carolina State Win 11-10 0.09 3 4.03% Counts Feb 12th Queen City Tune Up1
1 North Carolina Loss 6-15 -11.58 30 4.03% Counts (Why) Feb 12th Queen City Tune Up1
2 Brigham Young Loss 10-13 -4.44 3 5.38% Counts Mar 18th Centex 2023
4 Texas Loss 10-11 1.23 1 5.38% Counts Mar 18th Centex 2023
39 Florida Win 13-10 0.08 16 5.38% Counts Mar 18th Centex 2023
23 Wisconsin Win 12-9 9.77 11 5.38% Counts Mar 18th Centex 2023
14 Carleton College Loss 13-14 -8.16 20 5.38% Counts Mar 19th Centex 2023
6 Colorado Loss 11-15 -14.33 13 5.38% Counts Mar 19th Centex 2023
28 Oklahoma Christian Win 15-12 4.31 13 5.38% Counts Mar 19th Centex 2023
19 Georgia Win 13-11 7.17 81 6.04% Counts Apr 1st Easterns 2023
5 Vermont Loss 8-13 -22.79 7 6.04% Counts Apr 1st Easterns 2023
7 Cal Poly-SLO Loss 8-13 -25.02 14 6.04% Counts Apr 1st Easterns 2023
23 Wisconsin Win 12-6 25.35 11 5.88% Counts (Why) Apr 1st Easterns 2023
14 Carleton College Win 15-12 18.15 20 6.04% Counts Apr 2nd Easterns 2023
27 South Carolina Win 15-7 24.44 73 6.04% Counts (Why) Apr 2nd Easterns 2023
20 North Carolina State Loss 13-14 -15.94 3 6.04% Counts Apr 2nd Easterns 2023
**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.