(25) #413 American-B (1-16)

-300.59 (120)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
408 Richmond-B Loss 1-12 -32.23 4 7.4% Counts (Why) Feb 22nd Monument Melee 2025
404 Georgetown-B Loss 3-12 -24.43 103 7.4% Counts (Why) Feb 22nd Monument Melee 2025
401 George Washington-B Loss 5-9 -14.3 1 6.62% Counts Feb 22nd Monument Melee 2025
404 Georgetown-B Loss 4-9 -20.82 103 6.38% Counts (Why) Feb 23rd Monument Melee 2025
401 George Washington-B Loss 8-11 -3.19 1 7.72% Counts Feb 23rd Monument Melee 2025
111 Vermont-B** Loss 1-15 0 224 0% Ignored (Why) Mar 22nd Atlantic Coast Open 2025
170 Messiah** Loss 6-15 0 213 0% Ignored (Why) Mar 22nd Atlantic Coast Open 2025
106 Appalachian State** Loss 1-15 0 175 0% Ignored (Why) Mar 22nd Atlantic Coast Open 2025
132 Florida State** Loss 5-14 0 244 0% Ignored (Why) Mar 22nd Atlantic Coast Open 2025
232 George Washington** Loss 1-15 0 315 0% Ignored (Why) Mar 23rd Atlantic Coast Open 2025
401 George Washington-B Loss 10-11 21.8 1 9.72% Counts Mar 23rd Atlantic Coast Open 2025
395 Maryland-B Loss 4-13 -23.24 273 11.56% Counts (Why) Apr 12th Colonial Dev Mens Conferences 2025
337 Delaware-B** Loss 2-13 0 353 0% Ignored (Why) Apr 12th Colonial Dev Mens Conferences 2025
401 George Washington-B Loss 4-12 -34.01 1 11.09% Counts (Why) Apr 12th Colonial Dev Mens Conferences 2025
404 Georgetown-B Win 10-6 93.84 103 10.61% Counts (Why) Apr 13th Colonial Dev Mens Conferences 2025
401 George Washington-B Loss 9-10 26.47 1 11.56% Counts Apr 13th Colonial Dev Mens Conferences 2025
395 Maryland-B Loss 6-8 13.41 273 9.92% Counts Apr 13th Colonial Dev Mens Conferences 2025
**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.