(16) #284 Mississippi State-B (4-15)

129.4 (15)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
254 Alabama-B Loss 5-12 -18.44 44 4.88% Counts (Why) Jan 21st Tupelo Tuneup
306 Mississippi College Win 13-3 13.62 14 5.09% Counts (Why) Jan 21st Tupelo Tuneup
106 Tennessee-Chattanooga** Loss 1-13 0 5 0% Ignored (Why) Jan 21st Tupelo Tuneup
267 Memphis Loss 5-13 -24.87 13 5.09% Counts (Why) Jan 22nd Tupelo Tuneup
232 Xavier Loss 5-8 -4.87 6 4.21% Counts Jan 22nd Tupelo Tuneup
254 Alabama-B Loss 8-9 7.46 44 6.06% Counts Feb 18th ‘Ole Muddy Classic
211 Alabama-Birmingham Loss 6-10 -1.09 31 5.88% Counts Feb 18th ‘Ole Muddy Classic
306 Mississippi College Win 11-5 15.88 14 5.88% Counts (Why) Feb 18th ‘Ole Muddy Classic
255 Harding Loss 7-11 -15.24 6 6.24% Counts Feb 18th ‘Ole Muddy Classic
254 Alabama-B Loss 6-13 -24.6 44 6.41% Counts (Why) Feb 19th ‘Ole Muddy Classic
211 Alabama-Birmingham Loss 4-13 -8.31 31 6.41% Counts (Why) Feb 19th ‘Ole Muddy Classic
255 Harding Loss 3-11 -22.63 6 5.88% Counts (Why) Feb 19th ‘Ole Muddy Classic
39 Alabama-Huntsville** Loss 4-13 0 4 0% Ignored (Why) Feb 25th Mardi Gras XXXV
270 Miami (Florida) Loss 4-7 -20.28 4 5.17% Counts Feb 25th Mardi Gras XXXV
190 Texas State Loss 9-11 25.27 5 6.79% Counts Feb 25th Mardi Gras XXXV
150 Kennesaw State Loss 8-13 24.39 9 6.79% Counts Feb 25th Mardi Gras XXXV
270 Miami (Florida) Win 9-8 17.07 4 6.42% Counts Feb 26th Mardi Gras XXXV
215 Tulane-B Loss 6-9 2.39 1 6.03% Counts Feb 26th Mardi Gras XXXV
288 Texas Tech Win 13-7 35.48 1 6.79% Counts (Why) Feb 26th Mardi Gras XXXV
**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.