() #308 Stonehill (1-5)

681.92 ()

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
- Berklee Win 14-12 6.33 18.63% Counts Apr 20th Metro Boston D III Mens Conferences 2024
259 Brandeis Loss 6-15 -84.03 185 18.63% Counts (Why) Apr 20th Metro Boston D III Mens Conferences 2024
142 Bryant** Loss 5-15 0 266 0% Ignored (Why) May 4th New England D III College Mens Regionals 2024
218 Middlebury-B Loss 10-13 11.81 383 20.91% Counts May 4th New England D III College Mens Regionals 2024
55 Williams Loss 8-15 132.96 225 20.91% Counts May 4th New England D III College Mens Regionals 2024
279 Amherst Loss 10-14 -64.81 223 20.91% Counts May 5th New England D III College Mens Regionals 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.