(8) #268 Georgia Southern (4-15)

651.41 (9)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
85 Alabama** Loss 3-13 0 10 0% Ignored (Why) Jan 28th T Town Throwdown1
88 Central Florida** Loss 4-15 0 18 0% Ignored (Why) Jan 28th T Town Throwdown1
141 LSU Loss 5-13 -4.66 7 6.46% Counts (Why) Jan 28th T Town Throwdown1
368 North Florida** Win 13-5 0 0% Ignored (Why) Jan 28th T Town Throwdown1
251 Alabama-B Win 8-7 12.55 8 5.74% Counts Jan 29th T Town Throwdown1
233 Florida-B Loss 6-13 -32.55 12 6.46% Counts (Why) Jan 29th T Town Throwdown1
259 Jacksonville State Loss 7-10 -22.43 7 6.11% Counts Jan 29th T Town Throwdown1
90 Chicago Loss 8-11 41.88 6 9.13% Counts Mar 11th Tally Classic XVII
141 LSU Loss 4-13 -6.79 7 9.13% Counts (Why) Mar 11th Tally Classic XVII
104 Florida State** Loss 5-13 0 17 0% Ignored (Why) Mar 11th Tally Classic XVII
49 Notre Dame** Loss 5-13 0 27 0% Ignored (Why) Mar 11th Tally Classic XVII
209 Alabama-Birmingham Loss 12-14 2.78 9 9.13% Counts Mar 12th Tally Classic XVII
88 Central Florida** Loss 4-15 0 18 0% Ignored (Why) Mar 12th Tally Classic XVII
52 Appalachian State** Loss 3-13 0 6 0% Ignored (Why) Mar 18th College Southerns XXI
142 Carleton College-CHOP Loss 7-13 -2.72 14 9.67% Counts Mar 18th College Southerns XXI
233 Florida-B Win 11-6 68.01 12 9.15% Counts (Why) Mar 18th College Southerns XXI
172 East Carolina Loss 4-14 -20.13 64 9.67% Counts (Why) Mar 19th College Southerns XXI
219 Georgia-B Loss 3-14 -41.97 16 9.67% Counts (Why) Mar 19th College Southerns XXI
276 Georgia Tech-B Win 11-10 7.07 2 9.67% Counts Mar 19th College Southerns XXI
**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.