(14) #156 Amherst (6-12)

637.23 (291)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
225 Shippensburg Win 11-5 -2.95 293 6.21% Counts (Why) Feb 22nd Bring The Huckus 10 2020
202 SUNY-Albany Win 8-4 10.18 332 5.38% Counts (Why) Feb 22nd Bring The Huckus 10 2020
108 Wesleyan Loss 1-9 -12.08 164 5.6% Counts (Why) Feb 22nd Bring The Huckus 10 2020
123 Swarthmore Loss 5-7 -2.8 129 5.38% Counts Feb 22nd Bring The Huckus 10 2020
221 Ithaca Win 15-7 -1.32 310 6.77% Counts (Why) Feb 23rd Bring The Huckus 10 2020
202 SUNY-Albany Win 10-7 0.26 332 6.4% Counts Feb 23rd Bring The Huckus 10 2020
102 NYU Loss 4-10 -11.36 132 5.91% Counts (Why) Feb 23rd Bring The Huckus 10 2020
- Bowdoin Loss 6-7 -4.71 278 5.91% Counts Mar 1st Bates Second Annual First Big Dance
50 Mount Holyoke** Loss 3-11 0 364 0% Ignored (Why) Mar 1st Bates Second Annual First Big Dance
66 Bates** Loss 4-10 0 438 0% Ignored (Why) Mar 1st Bates Second Annual First Big Dance
91 Colby Loss 1-13 -8.74 181 7.14% Counts (Why) Mar 1st Bates Second Annual First Big Dance
55 Columbia Loss 4-8 11.99 77 5.99% Counts Mar 7th No Sleep Till Brooklyn 2020
99 Cornell Loss 4-5 16.81 5.18% Counts Mar 7th No Sleep Till Brooklyn 2020
189 Princeton Win 9-7 2.64 6.91% Counts Mar 7th No Sleep Till Brooklyn 2020
91 Colby Loss 7-8 25.92 181 6.69% Counts Mar 7th No Sleep Till Brooklyn 2020
89 Brown Loss 4-13 -8.25 1 7.53% Counts (Why) Mar 8th No Sleep Till Brooklyn 2020
131 MIT Loss 6-11 -26.24 200 7.12% Counts Mar 8th No Sleep Till Brooklyn 2020
210 Columbia-B Win 8-3 10.15 353 5.86% Counts (Why) Mar 8th No Sleep Till Brooklyn 2020
**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.