(5) #84 Appalachian State (12-11)

1326.8 (40)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
235 North Carolina-B Win 15-10 -6.72 8 3.49% Counts Jan 27th Carolina Kickoff 2024
1 North Carolina** Loss 3-15 0 18 0% Ignored (Why) Jan 27th Carolina Kickoff 2024
13 North Carolina State Loss 10-15 6.01 42 3.49% Counts Jan 28th Carolina Kickoff 2024
28 North Carolina-Wilmington Loss 8-15 -5.68 109 3.49% Counts Jan 28th Carolina Kickoff 2024
38 Duke Loss 11-14 -1.79 16 3.49% Counts Jan 28th Carolina Kickoff 2024
34 Ohio State Loss 8-15 -10.18 140 3.92% Counts Feb 10th Queen City Tune Up 2024
13 North Carolina State Loss 7-15 0.81 42 3.92% Counts (Why) Feb 10th Queen City Tune Up 2024
68 James Madison Loss 10-13 -11.34 20 3.92% Counts Feb 10th Queen City Tune Up 2024
106 Notre Dame Loss 10-13 -18.13 25 3.92% Counts Feb 10th Queen City Tune Up 2024
61 William & Mary Loss 12-13 -0.81 50 3.92% Counts Feb 11th Queen City Tune Up 2024
66 Virginia Loss 8-10 -7.74 111 3.81% Counts Feb 11th Queen City Tune Up 2024
165 RIT Win 13-10 -1.63 24 4.66% Counts Mar 2nd Oak Creek Challenge 2024
206 George Washington Win 9-6 -4.53 125 4.14% Counts Mar 2nd Oak Creek Challenge 2024
130 Towson Win 13-12 -4.15 45 4.66% Counts Mar 2nd Oak Creek Challenge 2024
169 Rutgers Win 11-10 -12.22 29 4.66% Counts Mar 3rd Oak Creek Challenge 2024
101 Cornell Win 13-9 15.46 51 4.66% Counts Mar 3rd Oak Creek Challenge 2024
90 SUNY-Buffalo Win 13-9 17.92 72 4.66% Counts Mar 3rd Oak Creek Challenge 2024
73 Richmond Win 14-12 16.11 20 5.87% Counts Mar 30th Atlantic Coast Open 2024
87 Tennessee-Chattanooga Win 13-12 6.74 164 5.87% Counts Mar 30th Atlantic Coast Open 2024
144 Pittsburgh-B Win 15-11 7.26 63 5.87% Counts Mar 30th Atlantic Coast Open 2024
61 William & Mary Loss 9-12 -14.97 50 5.87% Counts Mar 30th Atlantic Coast Open 2024
126 Lehigh Win 15-12 7.42 13 5.87% Counts Mar 31st Atlantic Coast Open 2024
85 Carnegie Mellon Win 15-11 23.24 20 5.87% Counts Mar 31st Atlantic Coast Open 2024
**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.