(3) #195 Georgia College (7-10)

796.68 (13)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
222 Luther Win 13-10 15.45 69 6.1% Counts Mar 19th College Southerns XX
310 Carleton College-Karls Win 13-7 3.85 19 6.1% Counts (Why) Mar 19th College Southerns XX
274 Georgia Southern Win 10-8 -2.28 13 5.94% Counts Mar 19th College Southerns XX
222 Luther Loss 5-15 -44.88 69 6.1% Counts (Why) Mar 20th College Southerns XX
116 Appalachian State Loss 11-12 12.58 46 6.1% Counts Mar 20th College Southerns XX
274 Georgia Southern Win 13-8 12.83 13 6.1% Counts Mar 20th College Southerns XX
52 Berry** Loss 6-15 0 39 0% Ignored (Why) Mar 26th Needle in a Ho Stack
190 Wake Forest Win 10-8 18.94 35 6.29% Counts Mar 26th Needle in a Ho Stack
186 Davidson Loss 10-11 -5.23 42 6.47% Counts Mar 26th Needle in a Ho Stack
280 High Point Win 15-6 18.14 42 6.47% Counts (Why) Mar 27th Needle in a Ho Stack
116 Appalachian State Loss 10-15 -9.34 46 6.47% Counts Mar 27th Needle in a Ho Stack
190 Wake Forest Loss 7-9 -16.4 35 5.93% Counts Mar 27th Needle in a Ho Stack
52 Berry** Loss 4-13 0 39 0% Ignored (Why) Apr 23rd Southeast D III College Mens CC 2022
139 Florida Tech Loss 6-10 -22.87 0 7.48% Counts Apr 23rd Southeast D III College Mens CC 2022
83 Union (Tennessee) Loss 5-13 -11.68 24 8.15% Counts (Why) Apr 23rd Southeast D III College Mens CC 2022
307 Embry-Riddle Win 13-3 11.63 24 8.15% Counts (Why) Apr 23rd Southeast D III College Mens CC 2022
52 Berry Loss 10-15 19.41 39 8.15% Counts Apr 24th Southeast D III College Mens CC 2022
**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.