(2) #99 Central Florida (7-15)

1211.68 (10)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
276 Mississippi Win 15-8 -6.91 48 3.92% Counts (Why) Jan 18th TTown Throwdown 2020 Open
65 Tennessee-Chattanooga Loss 9-12 -6.58 9 3.92% Counts Jan 18th TTown Throwdown 2020 Open
164 Illinois State Loss 10-11 -14.81 288 3.92% Counts Jan 18th TTown Throwdown 2020 Open
60 LSU Loss 10-12 -1.03 8 3.92% Counts Jan 18th TTown Throwdown 2020 Open
49 Alabama-Huntsville Loss 9-15 -9.24 24 3.92% Counts Jan 19th TTown Throwdown 2020 Open
101 Vanderbilt Loss 7-13 -22.83 81 3.92% Counts Jan 19th TTown Throwdown 2020 Open
9 Pittsburgh** Loss 5-13 0 76 0% Ignored (Why) Feb 14th Florida Warm Up 2020 Weekend 1
10 Carleton College-CUT Loss 7-13 13.49 3 4.85% Counts Feb 14th Florida Warm Up 2020 Weekend 1
13 Brown Loss 6-13 5.94 90 4.85% Counts (Why) Feb 14th Florida Warm Up 2020 Weekend 1
35 Northeastern Loss 8-11 2.76 27 4.85% Counts Feb 15th Florida Warm Up 2020 Weekend 1
11 Minnesota Loss 6-13 9.24 71 4.85% Counts (Why) Feb 15th Florida Warm Up 2020 Weekend 1
31 Texas-Dallas Loss 3-13 -5.84 105 4.85% Counts (Why) Feb 15th Florida Warm Up 2020 Weekend 1
69 Texas A&M Win 13-12 15.19 20 4.85% Counts Feb 15th Florida Warm Up 2020 Weekend 1
141 Harvard Win 15-10 14.36 19 4.85% Counts Feb 16th Florida Warm Up 2020 Weekend 1
60 LSU Win 15-14 17.23 8 4.85% Counts Feb 16th Florida Warm Up 2020 Weekend 1
131 Johns Hopkins Win 13-5 27.56 23 5.4% Counts (Why) Feb 29th Easterns Qualifier 2020
45 Notre Dame Loss 5-13 -13.59 6 5.4% Counts (Why) Feb 29th Easterns Qualifier 2020
58 Virginia Win 11-7 39.24 45 5.26% Counts Feb 29th Easterns Qualifier 2020
107 Ohio Loss 5-13 -35.59 1 5.4% Counts (Why) Feb 29th Easterns Qualifier 2020
73 Carnegie Mellon Loss 10-13 -9.89 8 5.4% Counts Mar 1st Easterns Qualifier 2020
67 Wisconsin-Milwaukee Loss 6-15 -23.97 17 5.4% Counts (Why) Mar 1st Easterns Qualifier 2020
107 Ohio Win 15-14 5.79 1 5.4% Counts Mar 1st Easterns Qualifier 2020
**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.