(5) #34 Northeastern (4-6)

2054.9 (431)

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# Opponent Result Effect % of Ranking Status Date Event
31 Penn State Win 11-4 49.58 7.28% Feb 3rd Queen City Tune Up 2018 College Women
3 North Carolina Loss 8-13 15.47 7.94% Feb 3rd Queen City Tune Up 2018 College Women
8 West Chester Loss 7-11 -1.32 7.72% Feb 3rd Queen City Tune Up 2018 College Women
32 Florida Win 8-7 11.4 7.05% Feb 3rd Queen City Tune Up 2018 College Women
65 Utah Win 10-9 -19.97 11.89% Mar 24th Womens Centex 2018
32 Florida Loss 6-9 -46.45 10.56% Mar 24th Womens Centex 2018
11 Texas Loss 8-13 -10.7 11.89% Mar 24th Womens Centex 2018
44 Colorado State Win 13-12 6.98 11.89% Mar 24th Womens Centex 2018
13 Ohio State Loss 11-15 -4.2 11.89% Mar 25th Womens Centex 2018
9 Colorado Loss 9-14 -3.92 11.89% Mar 25th Womens Centex 2018
**Blowout Eligible

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.