(7) #88 Virginia Tech (8-10)

1297.26 (16)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
39 Virginia Loss 0-13 -9.68 9 5.76% Counts (Why) Jan 27th Winta Binta Vinta 2024
61 Penn State Loss 4-9 -19.7 69 4.76% Counts (Why) Jan 27th Winta Binta Vinta 2024
57 William & Mary Loss 2-9 -17.65 8 4.76% Counts (Why) Jan 27th Winta Binta Vinta 2024
123 Liberty Win 7-5 0.45 39 4.58% Counts Jan 28th Winta Binta Vinta 2024
181 Virginia-B** Win 12-1 0 27 0% Ignored (Why) Jan 28th Winta Binta Vinta 2024
21 Ohio State** Loss 2-13 0 3 0% Ignored (Why) Jan 28th Winta Binta Vinta 2024
31 Brown Loss 8-15 0.95 25 7.26% Counts Feb 24th Commonwealth Cup Weekend 2 2024
35 Ohio Loss 10-12 20.56 23 7.26% Counts Feb 24th Commonwealth Cup Weekend 2 2024
42 Purdue Loss 4-11 -14.02 34 6.66% Counts (Why) Feb 24th Commonwealth Cup Weekend 2 2024
163 Temple Win 9-7 -27.35 113 6.66% Counts Feb 24th Commonwealth Cup Weekend 2 2024
134 MIT Win 8-6 -5.61 17 6.23% Counts Feb 25th Commonwealth Cup Weekend 2 2024
112 Maryland Win 10-5 23.71 60 6.45% Counts (Why) Feb 25th Commonwealth Cup Weekend 2 2024
43 Alabama-Huntsville Loss 2-13 -19.78 4 9.14% Counts (Why) Mar 23rd Needle in a Ho Stack 2024
102 East Carolina Win 6-3 28.33 16 6.29% Counts (Why) Mar 23rd Needle in a Ho Stack 2024
162 South Carolina-B** Win 11-2 0 23 0% Ignored (Why) Mar 24th Needle in a Ho Stack 2024
28 St Olaf Loss 5-8 13.95 59 7.56% Counts Mar 24th Needle in a Ho Stack 2024
137 Case Western Reserve Win 10-1 17.55 3 7.99% Counts (Why) Mar 24th Needle in a Ho Stack 2024
59 Georgetown Loss 8-9 9.22 24 8.65% Counts Mar 24th Needle in a Ho Stack 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.