(20) #254 Alabama-B (9-11)

370.08 (44)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
106 Tennessee-Chattanooga** Loss 2-13 0 5 0% Ignored (Why) Jan 21st Tupelo Tuneup
284 Mississippi State-B Win 12-5 20.42 15 5.38% Counts (Why) Jan 21st Tupelo Tuneup
232 Xavier Loss 7-8 -1.21 6 4.98% Counts Jan 21st Tupelo Tuneup
306 Mississippi College Win 12-4 0.77 14 5.38% Counts (Why) Jan 22nd Tupelo Tuneup
259 Southern Mississippi Win 11-9 12.8 33 5.6% Counts Jan 22nd Tupelo Tuneup
255 Harding Win 12-8 26.01 6 5.6% Counts Jan 23rd Tupelo Tuneup
117 Mississippi State** Loss 4-13 0 9 0% Ignored (Why) Jan 28th T Town Throwdown1
221 Florida-B Loss 7-13 -24.36 229 5.94% Counts Jan 28th T Town Throwdown1
225 Jacksonville State Loss 10-13 -10.82 30 5.94% Counts Jan 28th T Town Throwdown1
308 North Florida Win 7-1 0 408 4.31% Counts (Why) Jan 28th T Town Throwdown1
247 Georgia Southern Loss 7-8 -4.55 18 5.27% Counts Jan 29th T Town Throwdown1
221 Florida-B Loss 4-13 -27.04 229 5.94% Counts (Why) Jan 29th T Town Throwdown1
135 Georgia State** Loss 5-13 0 15 0% Ignored (Why) Jan 29th T Town Throwdown1
255 Harding Loss 6-8 -19.58 6 6.06% Counts Feb 18th ‘Ole Muddy Classic
284 Mississippi State-B Win 9-8 -8.28 15 6.68% Counts Feb 18th ‘Ole Muddy Classic
211 Alabama-Birmingham Loss 6-10 -17.88 31 6.48% Counts Feb 18th ‘Ole Muddy Classic
306 Mississippi College Win 10-5 -0.85 14 6.27% Counts (Why) Feb 18th ‘Ole Muddy Classic
284 Mississippi State-B Win 13-6 27.29 15 7.06% Counts (Why) Feb 19th ‘Ole Muddy Classic
255 Harding Win 13-9 31.57 6 7.06% Counts Feb 19th ‘Ole Muddy Classic
211 Alabama-Birmingham Loss 6-8 -4.03 31 6.06% Counts Feb 19th ‘Ole Muddy Classic
**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.