(2) #151 George Mason (7-13)

1116.84 (17)

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# Opponent Result Effect % of Ranking Status Date Event
30 Auburn Loss 5-11 -0.33 4.16% Feb 3rd Queen City Tune Up 2018 College Open
64 North Carolina-Charlotte Loss 9-11 4.58 4.54% Feb 3rd Queen City Tune Up 2018 College Open
16 North Carolina-Wilmington Loss 6-11 9.9 4.29% Feb 3rd Queen City Tune Up 2018 College Open
91 Penn State Win 11-8 29.58 4.54% Feb 3rd Queen City Tune Up 2018 College Open
133 Case Western Reserve Loss 4-11 -23.5 4.16% Feb 3rd Queen City Tune Up 2018 College Open
62 Vermont Win 8-5 31.28 3.75% Feb 4th Queen City Tune Up 2018 College Open
61 James Madison Loss 7-13 -10.83 5.09% Feb 17th Easterns Qualifier 2018
48 Dartmouth Loss 7-12 -3.86 5.09% Feb 17th Easterns Qualifier 2018
149 Davidson Win 10-8 14.95 4.95% Feb 17th Easterns Qualifier 2018
66 Kennesaw State Loss 6-13 -13.88 5.09% Feb 17th Easterns Qualifier 2018
98 Clemson Loss 3-13 -20.32 5.09% Feb 17th Easterns Qualifier 2018
73 Michigan State Loss 12-15 0.12 5.09% Feb 18th Easterns Qualifier 2018
224 Georgia Southern Win 15-9 13.94 5.09% Feb 18th Easterns Qualifier 2018
84 Virginia Loss 6-15 -16.88 5.09% Feb 18th Easterns Qualifier 2018
113 Lehigh Loss 12-13 3.08 6.8% Mar 24th Atlantic Coast Open 2018
270 American Win 12-9 -4.68 6.8% Mar 24th Atlantic Coast Open 2018
86 Duke Loss 8-13 -15.6 6.8% Mar 24th Atlantic Coast Open 2018
243 Rowan Win 15-8 16.91 6.8% Mar 25th Atlantic Coast Open 2018
174 East Carolina Loss 10-11 -15.27 6.8% Mar 25th Atlantic Coast Open 2018
368 Edinboro** Win 15-3 0 0% Ignored Mar 25th Atlantic Coast Open 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.