#63 Elon (4-3)

1389.32

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
46 Georgetown Loss 10-12 -24.41 14.34% Counts Feb 3rd Mid Atlantic Warmup 2018
25 Dartmouth Loss 6-13 -46.2 14.34% Counts (Why) Feb 3rd Mid Atlantic Warmup 2018
55 Virginia Win 13-10 59.88 14.34% Counts Feb 3rd Mid Atlantic Warmup 2018
66 Rutgers Win 11-9 36.08 14.34% Counts Feb 3rd Mid Atlantic Warmup 2018
104 Drexel Win 15-10 22.39 14.34% Counts Feb 4th Mid Atlantic Warmup 2018
89 Duke Win 13-12 -18.4 14.34% Counts Feb 4th Mid Atlantic Warmup 2018
48 Williams Loss 8-10 -29.21 13.96% Counts Feb 4th Mid Atlantic Warmup 2018
**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.