(5) #131 Chico State (18-7)

1188.64 (32)

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# Opponent Result Effect % of Ranking Status Date Event
329 California-Irvine** Win 13-3 0 0% Ignored Feb 3rd Presidents Day Qualifier 2018
382 UCLA-B** Win 13-2 0 0% Ignored Feb 3rd Presidents Day Qualifier 2018
267 Cal State-Long Beach Win 13-5 5.71 4% Feb 3rd Presidents Day Qualifier 2018
276 San Jose State Win 13-4 4.59 4% Feb 4th Presidents Day Qualifier 2018
59 Santa Clara Loss 7-12 -8.72 4% Feb 4th Presidents Day Qualifier 2018
186 Cal Poly-Pomona Win 10-8 2.31 3.89% Feb 4th Presidents Day Qualifier 2018
90 Northern Arizona Loss 6-9 -8.98 3.77% Feb 10th Stanford Open 2018
380 Stanford-B** Win 12-3 0 0% Ignored Feb 10th Stanford Open 2018
65 California-Santa Barbara Win 11-8 28.3 4.24% Feb 10th Stanford Open 2018
100 Arizona Win 9-8 11.35 4.01% Feb 11th Stanford Open 2018
59 Santa Clara Loss 9-13 -4.75 4.24% Feb 11th Stanford Open 2018
195 Sonoma State Win 11-8 6.21 4.24% Feb 11th Stanford Open 2018
129 Claremont Win 13-10 14.84 4.24% Feb 11th Stanford Open 2018
87 Las Positas Win 13-12 18.59 5.34% Mar 10th Silicon Valley Rally 2018
195 Sonoma State Loss 10-11 -19.76 5.34% Mar 10th Silicon Valley Rally 2018
360 Fresno State** Win 13-2 0 0% Ignored Mar 10th Silicon Valley Rally 2018
146 Nevada-Reno Loss 7-11 -27.75 5.2% Mar 11th Silicon Valley Rally 2018
165 Humboldt State Win 11-8 13.74 5.34% Mar 11th Silicon Valley Rally 2018
237 New Mexico Win 9-7 -6.43 5.5% Mar 24th Trouble in Vegas 2018
111 Arizona State Loss 8-9 -1.47 5.67% Mar 24th Trouble in Vegas 2018
263 Sacramento State Win 11-6 6.01 5.67% Mar 24th Trouble in Vegas 2018
202 Utah Valley Loss 3-8 -41.89 4.66% Mar 24th Trouble in Vegas 2018
186 Cal Poly-Pomona Win 9-7 4.3 5.5% Mar 25th Trouble in Vegas 2018
211 Utah State Win 10-8 -1.12 5.83% Mar 25th Trouble in Vegas 2018
225 California-B Win 9-6 4.7 5.33% Mar 25th Trouble in Vegas 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.