(6) #205 Alabama-Birmingham (11-11)

713.34 (105)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
87 Mississippi State Loss 4-13 -2.02 185 3.7% Counts (Why) Jan 21st Tupelo Tuneup
260 Southern Mississippi Win 13-7 11.91 129 3.7% Counts (Why) Jan 21st Tupelo Tuneup
275 Memphis Win 9-8 -7.85 107 3.5% Counts Jan 21st Tupelo Tuneup
257 Harding Loss 8-9 -13.27 106 3.5% Counts Jan 22nd Tupelo Tuneup
85 Tennessee-Chattanooga Loss 3-13 -1.85 136 3.7% Counts (Why) Jan 22nd Tupelo Tuneup
240 Xavier Win 7-4 9.47 72 2.82% Counts (Why) Jan 22nd Tupelo Tuneup
242 Alabama-B Win 10-6 14.08 162 4.28% Counts (Why) Feb 18th ‘Ole Muddy Classic
329 Mississippi College** Win 11-1 0 113 0% Ignored (Why) Feb 18th ‘Ole Muddy Classic
257 Harding Win 11-6 14.12 106 4.41% Counts (Why) Feb 18th ‘Ole Muddy Classic
292 Mississippi State-B Win 10-6 1.23 115 4.28% Counts (Why) Feb 18th ‘Ole Muddy Classic
242 Alabama-B Win 8-6 4.97 162 4% Counts Feb 19th ‘Ole Muddy Classic
292 Mississippi State-B Win 13-4 6.42 115 4.66% Counts (Why) Feb 19th ‘Ole Muddy Classic
95 Chicago Loss 6-11 -2.51 89 5.25% Counts Mar 11th Tally Classic XVII
61 Harvard Loss 6-10 9.6 193 5.09% Counts Mar 11th Tally Classic XVII
113 Clemson Loss 5-13 -11.33 94 5.55% Counts (Why) Mar 11th Tally Classic XVII
94 Tulane Loss 7-13 -3.06 77 5.55% Counts Mar 11th Tally Classic XVII
204 South Florida Loss 11-15 -21.8 78 5.55% Counts Mar 12th Tally Classic XVII
253 Georgia Southern Win 14-12 -0.02 79 5.55% Counts Mar 12th Tally Classic XVII
233 Jacksonville State Win 13-10 13.1 56 6.23% Counts Mar 25th Magic City Invite 2023
87 Mississippi State Loss 3-13 -3.49 185 6.23% Counts (Why) Mar 25th Magic City Invite 2023
141 LSU Loss 10-13 -2.32 27 6.23% Counts Mar 26th Magic City Invite 2023
227 Samford Loss 11-12 -15.96 6.23% Counts Mar 26th Magic City Invite 2023
**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.