(4) #47 Alabama (16-3)

1459.81 (46)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
147 Georgia State Win 8-5 -15.02 84 5.77% Counts (Why) Jan 25th Clutch Classic 2020
199 Belmont** Win 13-2 0 154 0% Ignored (Why) Jan 25th Clutch Classic 2020
78 Central Florida Win 7-6 -6.01 45 5.77% Counts Jan 25th Clutch Classic 2020
6 Georgia Tech** Loss 1-11 0 10 0% Ignored (Why) Jan 26th Clutch Classic 2020
53 Kennesaw State Win 8-4 29.65 53 5.54% Counts (Why) Jan 26th Clutch Classic 2020
83 Clemson Win 11-6 20.42 19 6.6% Counts (Why) Jan 26th Clutch Classic 2020
30 Vanderbilt Win 6-5 22.8 42 6.23% Counts Feb 15th Are we in love or just 2020
93 Tennessee Win 9-8 -19.04 93 7.74% Counts Feb 15th Are we in love or just 2020
128 Alabama-Birmingham Win 8-7 -35.28 75 7.27% Counts Feb 15th Are we in love or just 2020
92 Auburn Win 8-5 8.1 64 6.77% Counts (Why) Feb 15th Are we in love or just 2020
30 Vanderbilt Loss 3-13 -34.02 42 8.18% Counts (Why) Feb 16th Are we in love or just 2020
117 Iowa State Win 13-5 8.86 29 8.18% Counts (Why) Feb 16th Are we in love or just 2020
127 Alabama-Huntsville Win 11-3 3.37 103 7.51% Counts (Why) Feb 16th Are we in love or just 2020
160 St Benedict** Win 13-3 0 52 0% Ignored (Why) Feb 29th Mardi Gras XXXIII
103 Mississippi State Win 12-4 18.65 50 8.74% Counts (Why) Feb 29th Mardi Gras XXXIII
165 Tennessee-Chattanooga** Win 13-0 0 59 0% Ignored (Why) Feb 29th Mardi Gras XXXIII
218 North Texas** Win 13-2 0 60 0% Ignored (Why) Feb 29th Mardi Gras XXXIII
78 Central Florida Win 8-1 28.72 45 7.08% Counts (Why) Mar 1st Mardi Gras XXXIII
77 Texas State Loss 8-9 -32.45 8 8.61% Counts Mar 1st Mardi Gras XXXIII
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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.