(1) #72 Alabama-Huntsville (10-12)

1483.99 (21)

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# Opponent Result Effect % of Ranking Status Date Event
37 Illinois Loss 7-13 -12.89 3.86% Jan 26th T Town Throwdown
27 LSU Loss 5-13 -12.29 3.86% Jan 26th T Town Throwdown
132 Kentucky Win 11-7 9.13 3.76% Jan 26th T Town Throwdown
160 Vanderbilt Loss 9-11 -24.44 3.86% Jan 26th T Town Throwdown
36 Alabama Loss 10-15 -8.61 3.86% Jan 27th T Town Throwdown
24 Auburn Loss 11-14 -0.02 3.86% Jan 27th T Town Throwdown
106 Illinois State Win 14-12 2.58 3.86% Jan 27th T Town Throwdown
25 South Carolina Loss 10-13 -1.15 4.33% Feb 8th Florida Warm Up 2019
29 Texas-Dallas Loss 7-13 -12.21 4.33% Feb 8th Florida Warm Up 2019
150 Cornell Win 11-7 7.09 4.22% Feb 8th Florida Warm Up 2019
83 Rutgers Win 15-11 14.95 4.33% Feb 9th Florida Warm Up 2019
68 Cincinnati Loss 9-11 -9.86 4.33% Feb 9th Florida Warm Up 2019
43 Harvard Win 9-8 13.38 4.1% Feb 9th Florida Warm Up 2019
54 Virginia Tech Win 9-8 11.13 4.1% Feb 9th Florida Warm Up 2019
80 Oklahoma Win 13-11 8.91 4.33% Feb 10th Florida Warm Up 2019
13 Wisconsin Loss 7-15 -3.76 4.33% Feb 10th Florida Warm Up 2019
15 Central Florida Loss 9-12 9.88 5.78% Mar 16th Tally Classic XIV
165 Georgia Southern Win 13-11 -10.02 5.78% Mar 16th Tally Classic XIV
52 Notre Dame Win 13-10 28.89 5.78% Mar 16th Tally Classic XIV
61 Tennessee Win 15-14 11.98 5.78% Mar 16th Tally Classic XIV
24 Auburn Loss 10-12 4.58 5.78% Mar 17th Tally Classic XIV
55 Florida State Loss 8-15 -26.82 5.78% Mar 17th Tally Classic XIV
**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.