(2) #86 Clemson (3-3)

1086.5 (126)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
204 South Florida** Win 13-0 -119.15 8 20.86% Counts (Why) Mar 11th Tally Classic XVII
210 Florida Tech** Win 12-2 0 203 0% Ignored (Why) Mar 11th Tally Classic XVII
26 Notre Dame Loss 5-10 6.35 132 18.53% Counts Mar 11th Tally Classic XVII
167 Jacksonville State** Win 12-2 -9.3 132 20.02% Counts (Why) Mar 11th Tally Classic XVII
46 Florida State Loss 10-11 69.11 136 20.86% Counts Mar 12th Tally Classic XVII
26 Notre Dame Loss 7-10 52.15 132 19.73% Counts Mar 12th Tally Classic XVII
**Blowout Eligible. Learn more about how this works here.


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.