(9) #76 Purdue (9-11)

1357.22 (56)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
119 Berry Win 11-9 2.75 6 4.1% Counts Feb 10th Golden Triangle Invitational
105 Mississippi State Win 11-9 4.4 61 4.1% Counts Feb 10th Golden Triangle Invitational
87 Tennessee-Chattanooga Win 11-6 20.17 164 3.88% Counts (Why) Feb 10th Golden Triangle Invitational
57 Auburn Loss 11-12 -1.5 7 4.1% Counts Feb 11th Golden Triangle Invitational
158 Kennesaw State Win 13-1 10.85 9 4.1% Counts (Why) Feb 11th Golden Triangle Invitational
38 Duke Loss 5-13 -17.69 16 4.61% Counts (Why) Feb 24th Easterns Qualifier 2024
16 Penn State Loss 5-13 -1.74 59 4.61% Counts (Why) Feb 24th Easterns Qualifier 2024
58 Maryland Loss 9-12 -12.53 25 4.61% Counts Feb 24th Easterns Qualifier 2024
52 Virginia Tech Loss 11-12 -0.32 43 4.61% Counts Feb 24th Easterns Qualifier 2024
50 Alabama Win 11-10 13 3 4.61% Counts Feb 25th Easterns Qualifier 2024
68 James Madison Win 15-10 22.85 20 4.61% Counts Feb 25th Easterns Qualifier 2024
158 Kennesaw State Win 12-9 -0.05 9 4.61% Counts Feb 25th Easterns Qualifier 2024
58 Maryland Loss 10-13 -11.7 25 4.61% Counts Feb 25th Easterns Qualifier 2024
50 Alabama Loss 8-12 -19.44 3 6.15% Counts Mar 30th Huck Finn 2024
19 Washington University Loss 6-12 -4.54 112 5.98% Counts Mar 30th Huck Finn 2024
49 St Olaf Loss 10-11 1.37 64 6.15% Counts Mar 30th Huck Finn 2024
66 Virginia Loss 10-11 -5.77 111 6.15% Counts Mar 30th Huck Finn 2024
53 Colorado State Loss 7-12 -26.67 118 6.15% Counts Mar 31st Huck Finn 2024
118 Michigan Tech Win 13-5 27.27 3 6.15% Counts (Why) Mar 31st Huck Finn 2024
105 Mississippi State Win 10-9 -1.4 61 6.15% Counts Mar 31st Huck Finn 2024
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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.