() #36 Penn State (16-9)

1777.62 (9)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
52 Appalachian State Win 13-12 -0.7 6 3.65% Counts Jan 28th Carolina Kickoff
45 Georgetown Win 14-12 5.3 15 3.65% Counts Jan 28th Carolina Kickoff
1 North Carolina** Loss 5-15 0 30 0% Ignored (Why) Jan 28th Carolina Kickoff
33 Duke Win 14-12 8.86 34 3.65% Counts Jan 28th Carolina Kickoff
45 Georgetown Win 15-11 11.37 15 3.65% Counts Jan 29th Carolina Kickoff
24 North Carolina-Charlotte Loss 12-15 -6.95 14 3.65% Counts Jan 29th Carolina Kickoff
33 Duke Win 15-11 14.93 34 3.65% Counts Jan 29th Carolina Kickoff
90 Chicago Win 14-9 5.55 6 4.1% Counts Feb 11th Queen City Tune Up1
22 Washington University Loss 11-13 -4.32 53 4.1% Counts Feb 11th Queen City Tune Up1
25 North Carolina-Wilmington Loss 12-13 -0.78 24 4.1% Counts Feb 11th Queen City Tune Up1
20 North Carolina State Loss 5-15 -18.46 3 4.1% Counts (Why) Feb 11th Queen City Tune Up1
52 Appalachian State Loss 12-13 -11.47 6 4.1% Counts Feb 12th Queen City Tune Up1
38 Purdue Win 8-7 4.55 0 3.64% Counts Feb 12th Queen City Tune Up1
134 Carnegie Mellon Win 11-5 2.75 18 4.47% Counts (Why) Mar 4th Fish Bowl
25 North Carolina-Wilmington Loss 6-11 -21.26 24 4.61% Counts Mar 4th Fish Bowl
56 James Madison Win 10-8 4.22 21 4.74% Counts Mar 5th Fish Bowl
63 Rutgers Win 11-9 2.07 39 4.87% Counts Mar 5th Fish Bowl
25 North Carolina-Wilmington Loss 6-11 -21.26 24 4.61% Counts Mar 5th Fish Bowl
168 Johns Hopkins** Win 13-4 0 77 0% Ignored (Why) Apr 1st Atlantic Coast Open 2023
369 George Mason** Win 13-1 0 0% Ignored (Why) Apr 1st Atlantic Coast Open 2023
101 Navy Win 13-0 13 2 6.14% Counts (Why) Apr 1st Atlantic Coast Open 2023
84 Richmond Win 13-6 17.8 10 6.14% Counts (Why) Apr 1st Atlantic Coast Open 2023
67 Virginia Tech Loss 12-13 -22.84 99 6.14% Counts Apr 2nd Atlantic Coast Open 2023
63 Rutgers Win 14-11 6.83 39 6.14% Counts Apr 2nd Atlantic Coast Open 2023
84 Richmond Win 13-8 11.01 10 6.14% Counts Apr 2nd Atlantic Coast Open 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.