(7) #59 Santa Clara (12-7)

1499.77 (38)

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# Opponent Result Effect % of Ranking Status Date Event
316 Cal Poly-SLO-B** Win 13-4 0 0% Ignored Feb 3rd Presidents Day Qualifier 2018
332 California-San Diego-B** Win 13-1 0 0% Ignored Feb 3rd Presidents Day Qualifier 2018
195 Sonoma State Win 13-2 4.22 6.22% Feb 3rd Presidents Day Qualifier 2018
87 Las Positas Win 12-6 30.48 6.06% Feb 4th Presidents Day Qualifier 2018
333 California-Davis-B** Win 13-1 0 0% Ignored Feb 4th Presidents Day Qualifier 2018
131 Chico State Win 12-7 13.89 6.22% Feb 4th Presidents Day Qualifier 2018
146 Nevada-Reno Win 11-6 13.05 6.24% Feb 10th Stanford Open 2018
87 Las Positas Win 10-9 1.3 6.59% Feb 10th Stanford Open 2018
316 Cal Poly-SLO-B** Win 13-1 0 0% Ignored Feb 10th Stanford Open 2018
131 Chico State Win 13-9 7.58 6.59% Feb 11th Stanford Open 2018
26 Texas-Dallas Loss 11-12 7.36 6.59% Feb 11th Stanford Open 2018
69 Carleton College-GoP Loss 11-12 -12.37 6.59% Feb 11th Stanford Open 2018
44 Illinois Loss 7-13 -35.16 6.98% Feb 17th Presidents Day Invitational Tournament 2018
3 Oregon Loss 8-13 14.48 6.98% Feb 17th Presidents Day Invitational Tournament 2018
53 UCLA Win 13-10 27.24 6.98% Feb 17th Presidents Day Invitational Tournament 2018
67 Utah Loss 11-12 -12.53 6.98% Feb 17th Presidents Day Invitational Tournament 2018
143 California-San Diego Win 11-8 2.01 6.98% Feb 18th Presidents Day Invitational Tournament 2018
76 Chicago Loss 7-14 -50.11 6.98% Feb 18th Presidents Day Invitational Tournament 2018
44 Illinois Loss 9-11 -12.01 6.98% Feb 19th Presidents Day Invitational Tournament 2018
**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.