(1) #24 Carleton College-Eclipse (15-6)

1732.83 (141)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
108 California-San Diego-B Win 9-5 -16.57 141 6.13% Counts (Why) Feb 4th Stanford Open
79 Nevada-Reno Win 10-2 2.85 142 6.24% Counts (Why) Feb 4th Stanford Open
53 Cal Poly-SLO Win 6-4 0.7 142 5.18% Counts (Why) Feb 4th Stanford Open
39 Santa Clara Win 8-6 6.99 141 6.13% Counts Feb 5th Stanford Open
178 Chico State** Win 12-1 0 146 0% Ignored (Why) Feb 5th Stanford Open
53 Cal Poly-SLO Win 10-5 14.98 142 6.35% Counts (Why) Feb 5th Stanford Open
8 Stanford Loss 4-13 -8.67 141 8.02% Counts (Why) Feb 18th President’s Day Invite
18 Colorado State Win 10-9 17.76 143 8.02% Counts Feb 18th President’s Day Invite
11 Oregon Loss 7-12 -13.64 141 8.02% Counts Feb 18th President’s Day Invite
29 UCLA Win 9-7 16.77 141 7.36% Counts Feb 18th President’s Day Invite
3 Colorado Loss 8-13 20.82 141 8.02% Counts Feb 19th President’s Day Invite
48 Texas Win 13-7 24.81 139 8.02% Counts (Why) Feb 19th President’s Day Invite
11 Oregon Loss 5-10 -16.1 141 7.12% Counts Feb 19th President’s Day Invite
17 California-San Diego Loss 8-10 -14.47 141 7.8% Counts Feb 20th President’s Day Invite
28 Duke Loss 7-10 -36.15 139 7.58% Counts Feb 20th President’s Day Invite
221 Georgia-B** Win 13-0 0 164 0% Ignored (Why) Mar 18th College Southerns XXI
132 Emory** Win 13-2 0 142 0% Ignored (Why) Mar 18th College Southerns XXI
- Georgia Southern** Win 13-0 0 164 0% Ignored (Why) Mar 18th College Southerns XXI
220 Emory-B** Win 15-0 0 164 0% Ignored (Why) Mar 19th College Southerns XXI
202 North Carolina-Wilmington** Win 15-0 0 164 0% Ignored (Why) Mar 19th College Southerns XXI
110 Charleston** Win 15-0 0 131 0% Ignored (Why) Mar 19th College Southerns XXI
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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.