(7) #287 Salisbury (5-14)

428.52 (35)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
155 Massachusetts-Lowell Loss 4-13 -4.94 44 5.54% Counts (Why) Feb 26th Bring The Huckus 12
167 SUNY Cortland Loss 4-13 -7.31 33 5.54% Counts (Why) Feb 26th Bring The Huckus 12
241 SUNY-Albany Loss 5-11 -19.98 42 5.09% Counts (Why) Feb 26th Bring The Huckus 12
291 Haverford Loss 5-7 -16.15 47 4.4% Counts Feb 26th Bring The Huckus 12
281 Stevens Tech Win 7-6 7.29 44 4.58% Counts Feb 27th Bring The Huckus 12
288 Stockton University -Upper Win 7-6 5.81 41 4.58% Counts Feb 27th Bring The Huckus 12
180 Wesleyan Loss 5-13 -9.08 35 5.54% Counts (Why) Feb 27th Bring The Huckus 12
187 Rowan Loss 5-13 -14.65 43 6.98% Counts (Why) Mar 26th Garden State 2022
241 SUNY-Albany Loss 6-9 -12.67 42 6.2% Counts Mar 26th Garden State 2022
272 College of New Jersey Win 9-8 14.42 39 6.6% Counts Mar 26th Garden State 2022
218 West Chester Loss 5-8 -10.42 9 5.78% Counts Mar 26th Garden State 2022
187 Rowan Loss 8-12 -2.72 43 6.98% Counts Mar 27th Garden State 2022
272 College of New Jersey Win 9-4 41.62 39 5.78% Counts (Why) Mar 27th Garden State 2022
284 Maryland-Baltimore County Win 13-6 58.24 31 8.8% Counts (Why) Apr 23rd Colonial D I College Mens CC 2022
55 Georgetown** Loss 1-13 0 30 0% Ignored (Why) Apr 23rd Colonial D I College Mens CC 2022
71 Delaware** Loss 1-13 0 53 0% Ignored (Why) Apr 23rd Colonial D I College Mens CC 2022
144 Johns Hopkins Loss 10-13 22.96 20 8.8% Counts Apr 23rd Colonial D I College Mens CC 2022
284 Maryland-Baltimore County Loss 8-14 -51.34 31 8.8% Counts Apr 24th Colonial D I College Mens CC 2022
129 American** Loss 2-15 0 17 0% Ignored (Why) 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.