(3) #66 Kennesaw State (17-5)

1458.01 (5)

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# Opponent Result Effect % of Ranking Status Date Event
335 Southern Mississippi** Win 13-4 0 0% Ignored Jan 20th T Town Throwdown XIV Open
153 Xavier Win 12-7 9.28 4.95% Jan 20th T Town Throwdown XIV Open
97 Alabama Win 12-7 21.39 4.95% Jan 20th T Town Throwdown XIV Open
88 Alabama-Huntsville Loss 6-13 -34.9 4.95% Jan 20th T Town Throwdown XIV Open
120 Mississippi State Win 15-12 5.41 4.95% Jan 21st T Town Throwdown XIV Open
94 Kentucky Win 15-8 24.47 4.95% Jan 21st T Town Throwdown XIV Open
88 Alabama-Huntsville Win 15-8 25.8 4.95% Jan 21st T Town Throwdown XIV Open
381 Georgia Gwinnett** Win 13-4 0 0% Ignored Jan 27th Clutch Classic 2018
140 Florida Tech Win 10-8 -1.5 5.11% Jan 27th Clutch Classic 2018
272 Miami Win 13-7 -11.01 5.25% Jan 27th Clutch Classic 2018
282 Wingate Win 13-6 -10.8 5.25% Jan 27th Clutch Classic 2018
244 Berry** Win 15-1 0 0% Ignored Jan 28th Clutch Classic 2018
376 Tulane-B** Win 15-0 0 0% Ignored Jan 28th Clutch Classic 2018
140 Florida Tech Win 15-7 17.14 5.25% Jan 28th Clutch Classic 2018
61 James Madison Win 13-12 9.29 6.24% Feb 17th Easterns Qualifier 2018
48 Dartmouth Win 10-7 31.19 5.9% Feb 17th Easterns Qualifier 2018
149 Davidson Loss 11-12 -29.43 6.24% Feb 17th Easterns Qualifier 2018
151 George Mason Win 13-6 17.23 6.24% Feb 17th Easterns Qualifier 2018
98 Clemson Win 10-8 9.23 6.07% Feb 17th Easterns Qualifier 2018
48 Dartmouth Loss 6-15 -32.79 6.24% Feb 18th Easterns Qualifier 2018
34 William & Mary Loss 9-14 -18.88 6.24% Feb 18th Easterns Qualifier 2018
46 South Carolina Loss 7-15 -31.86 6.24% Feb 18th Easterns Qualifier 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.