(1) #227 Florida State-B (15-8)

915.33 (56)

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# Opponent Result Effect % of Ranking Status Date Event
377 Stetson Win 13-7 -0.19 4.2% Feb 8th Florida Warm Up 2019
294 Florida Gulf Coast Loss 9-11 -20.48 4.2% Feb 8th Florida Warm Up 2019
207 North Florida Loss 10-13 -12.19 4.2% Feb 8th Florida Warm Up 2019
418 South Florida-B** Win 13-4 0 0% Ignored Feb 9th Florida Warm Up 2019
300 High Point Win 12-6 14.54 4.09% Feb 9th Florida Warm Up 2019
246 Florida-B Win 11-7 18.2 4.09% Feb 9th Florida Warm Up 2019
294 Florida Gulf Coast Win 8-3 12.91 3.27% Feb 10th Florida Warm Up 2019
246 Florida-B Loss 7-15 -28.06 4.2% Feb 10th Florida Warm Up 2019
350 Sam Houston State Win 11-7 1.74 4.86% Mar 2nd Mardi Gras XXXII
161 Sul Ross State Loss 7-11 -13.51 4.86% Mar 2nd Mardi Gras XXXII
103 Georgia State Loss 5-11 -8.02 4.58% Mar 2nd Mardi Gras XXXII
277 Texas-San Antonio Win 9-8 -1.03 4.73% Mar 2nd Mardi Gras XXXII
27 LSU Loss 6-13 13.8 5% Mar 2nd Mardi Gras XXXII
207 North Florida Loss 7-11 -21.3 4.86% Mar 3rd Mardi Gras XXXII
161 Sul Ross State Loss 9-13 -11.36 5% Mar 3rd Mardi Gras XXXII
418 South Florida-B Win 11-5 -11.66 5.15% Mar 16th Tally Classic XIV
377 Stetson Win 11-1 2.06 5.15% Mar 16th Tally Classic XIV
221 North Georgia Win 11-9 15.19 5.61% Mar 16th Tally Classic XIV
369 Notre Dame-B Win 11-2 3.61 5.15% Mar 16th Tally Classic XIV
429 Columbus State** Win 11-2 0 0% Ignored Mar 16th Tally Classic XIV
366 Central Florida-B Win 15-6 5.04 5.61% Mar 17th Tally Classic XIV
246 Florida-B Win 14-11 16.24 5.61% Mar 17th Tally Classic XIV
263 Georgia Tech-B Win 12-7 24.9 5.61% 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.