(44) #92 Navy (4-3)

975.45 (237)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
26 James Madison University Loss 7-13 -5.57 237 14.34% Counts Jan 25th Mid Atlantic Warmup 2020
108 Drexel Win 13-11 15.29 237 14.34% Counts Jan 25th Mid Atlantic Warmup 2020
109 Syracuse Loss 9-13 -93.45 237 14.34% Counts Jan 25th Mid Atlantic Warmup 2020
57 Lehigh Loss 12-13 12.65 237 14.34% Counts Jan 25th Mid Atlantic Warmup 2020
139 George Mason Win 15-7 38.89 237 14.34% Counts (Why) Jan 26th Mid Atlantic Warmup 2020
145 American Win 14-9 9.26 237 14.34% Counts Jan 26th Mid Atlantic Warmup 2020
136 Mary Washington Win 11-7 22.83 237 13.96% Counts Jan 26th Mid Atlantic Warmup 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.