(23) #84 Brandeis (16-3)

1431.89 (115)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
301 Salisbury** Win 13-4 0 241 0% Ignored (Why) Feb 23rd Oak Creek Challenge 2019
292 Navy** Win 13-5 0 33 0% Ignored (Why) Feb 23rd Oak Creek Challenge 2019
174 Cedarville Win 13-6 13.57 114 5.45% Counts (Why) Feb 23rd Oak Creek Challenge 2019
158 Lehigh Win 10-3 14.85 18 4.76% Counts (Why) Feb 23rd Oak Creek Challenge 2019
142 Princeton Win 11-9 1.56 16 5.45% Counts Feb 24th Oak Creek Challenge 2019
206 West Chester Win 12-8 -1.41 15 5.45% Counts Feb 24th Oak Creek Challenge 2019
114 Liberty Loss 8-9 -13.95 176 5.15% Counts Feb 24th Oak Creek Challenge 2019
302 Rose-Hulman Win 13-6 -11.7 35 6.11% Counts (Why) Mar 9th D III Midwestern Invite 2019
177 Winona State Win 9-8 -15.03 83 5.78% Counts Mar 9th D III Midwestern Invite 2019
183 Oberlin Win 12-10 -9.88 5 6.11% Counts Mar 9th D III Midwestern Invite 2019
70 St Olaf Loss 6-8 -12.84 35 5.25% Counts Mar 10th D III Midwestern Invite 2019
291 Pacific Lutheran** Win 9-3 0 26 0% Ignored (Why) Mar 10th D III Midwestern Invite 2019
176 Bentley Win 13-5 18.3 111 7.27% Counts (Why) Mar 30th Layout Pigout 2019
282 Catholic Win 13-6 -7.05 148 7.27% Counts (Why) Mar 30th Layout Pigout 2019
107 Franciscan Win 10-8 11.9 106 7.08% Counts Mar 30th Layout Pigout 2019
95 Bates College Win 12-6 39.38 182 7.08% Counts (Why) Mar 30th Layout Pigout 2019
96 Bowdoin Loss 6-13 -52.06 309 7.27% Counts (Why) Mar 31st Layout Pigout 2019
163 SUNY-Geneseo Win 13-9 7.31 194 7.27% Counts Mar 31st Layout Pigout 2019
107 Franciscan Win 13-10 17.39 106 7.27% Counts Mar 31st Layout Pigout 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.