(1) #154 Smith (6-4)

857.04 (70)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
81 Ohio Loss 5-10 -25.53 2 13.57% Counts Mar 9th Mash Up 2019
212 SUNY-Fredonia Win 10-5 30.71 79 13.57% Counts (Why) Mar 9th Mash Up 2019
17 Vermont** Loss 1-13 0 11 0% Ignored (Why) Mar 9th Mash Up 2019
212 SUNY-Fredonia Win 10-3 34.13 79 13.34% Counts (Why) Mar 10th Mash Up 2019
213 Mary Washington Win 13-1 39.51 212 15.27% Counts (Why) Mar 10th Mash Up 2019
122 Georgia College Loss 6-12 -72.11 10 14.86% Counts Mar 10th Mash Up 2019
170 Vermont-B Loss 5-6 -39.5 89 13.82% Counts Mar 30th Vermont Open 2019
238 Worcester Polytechnic** Win 11-2 0 71 0% Ignored (Why) Mar 31st Vermont Open 2019
170 Vermont-B Win 8-6 33.06 89 15.59% Counts Mar 31st Vermont Open 2019
- Hampshire** Win 7-1 0 0% Ignored (Why) Mar 31st Vermont Open 2019
**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.