(7) #136 American (7-11)

1012.78 (42)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
62 Carnegie Mellon Loss 6-13 -13.51 54 5.6% Counts (Why) Mar 19th Oak Creek Invite
236 Shippensburg Win 13-5 14.23 24 5.6% Counts (Why) Mar 19th Oak Creek Invite
85 Cornell Win 10-9 20.43 36 5.6% Counts Mar 19th Oak Creek Invite
59 Georgetown Loss 8-11 1.47 46 5.6% Counts Mar 19th Oak Creek Invite
236 Shippensburg Win 13-12 -13.94 24 5.6% Counts Mar 20th Oak Creek Invite
59 Georgetown Loss 10-11 15.74 46 5.6% Counts Mar 20th Oak Creek Invite
214 Wooster Win 15-7 19.41 13 6.28% Counts (Why) Apr 2nd Atlantic Coast Open
27 William & Mary Loss 7-15 0.19 85 6.28% Counts (Why) Apr 2nd Atlantic Coast Open
134 Tennessee Loss 11-12 -8.04 28 6.28% Counts Apr 2nd Atlantic Coast Open
238 George Mason Win 15-4 15.6 39 6.28% Counts (Why) Apr 2nd Atlantic Coast Open
37 Virginia Loss 8-15 -4.21 47 6.28% Counts Apr 3rd Atlantic Coast Open
85 Cornell Loss 8-15 -23.15 36 6.28% Counts Apr 3rd Atlantic Coast Open
27 William & Mary Loss 8-13 7.15 85 6.28% Counts Apr 3rd Atlantic Coast Open
25 Maryland** Loss 5-15 0 38 0% Ignored (Why) Apr 23rd Colonial D I College Mens CC 2022
139 Towson Loss 14-15 -12.27 44 7.47% Counts Apr 23rd Colonial D I College Mens CC 2022
198 George Washington Win 15-12 4.08 37 7.47% Counts Apr 23rd Colonial D I College Mens CC 2022
289 Salisbury** Win 15-2 0 45 0% Ignored (Why) Apr 24th Colonial D I College Mens CC 2022
73 Delaware Loss 8-15 -23.77 33 7.47% Counts Apr 24th Colonial D I College Mens CC 2022
**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.