(21) #303 Charleston (5-18)

571.48 (4)

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# Opponent Result Effect % of Ranking Status Date Event
149 Davidson Loss 3-11 -1.12 3.54% Jan 27th Joint Summit XXXIII College Open
116 Appalachian State Loss 9-11 18.21 3.86% Jan 27th Joint Summit XXXIII College Open
185 Georgia-B Loss 2-11 -6.88 3.54% Jan 27th Joint Summit XXXIII College Open
122 Tennessee Loss 6-11 5.2 3.65% Jan 27th Joint Summit XXXIII College Open
347 Radford Win 13-8 14.57 4.59% Feb 17th Chucktown Throwdown XV
249 North Greenville Loss 4-11 -17.67 4.21% Feb 17th Chucktown Throwdown XV
272 Miami Win 7-4 22.66 3.49% Feb 17th Chucktown Throwdown XV
122 Tennessee Loss 6-12 4.9 4.47% Feb 17th Chucktown Throwdown XV
223 High Point Loss 7-11 -8.19 4.47% Feb 18th Chucktown Throwdown XV
193 Liberty Loss 7-10 0.24 4.34% Feb 18th Chucktown Throwdown XV
418 Kennesaw State-B** Win 13-5 0 0% Ignored Mar 3rd Cola Classic 2018
280 South Carolina-B Loss 9-10 -1.69 5.15% Mar 3rd Cola Classic 2018
125 Georgia College Loss 8-13 8.04 5.15% Mar 3rd Cola Classic 2018
174 East Carolina Loss 8-12 1.07 5.15% Mar 3rd Cola Classic 2018
242 Samford Loss 7-9 -3.21 4.73% Mar 4th Cola Classic 2018
295 Georgia Tech-B Loss 9-11 -12.17 5.15% Mar 4th Cola Classic 2018
248 North Georgia Win 13-12 20.11 5.78% Mar 17th College Southerns 2018
224 Georgia Southern Loss 10-13 -2.35 5.78% Mar 17th College Southerns 2018
125 Georgia College** Loss 4-13 0 0% Ignored Mar 17th College Southerns 2018
340 Stetson Win 11-10 -2.2 5.78% Mar 17th College Southerns 2018
248 North Georgia Loss 8-10 -3.57 5.63% Mar 18th College Southerns 2018
224 Georgia Southern Loss 6-13 -19.03 5.78% Mar 18th College Southerns 2018
340 Stetson Loss 9-10 -17.54 5.78% Mar 18th College Southerns 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.