(18) #159 Colorado-B (14-9)

1094.56 (35)

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# Opponent Result Effect % of Ranking Status Date Event
237 New Mexico Win 13-12 -8.19 4.58% Jan 27th New Year Fest 2018
429 Arizona State-C** Win 13-0 0 0% Ignored Jan 27th New Year Fest 2018
366 Arizona-B** Win 13-1 0 0% Ignored Jan 27th New Year Fest 2018
90 Northern Arizona Loss 6-13 -15.2 4.58% Jan 27th New Year Fest 2018
222 Brigham Young-B Loss 10-12 -22.5 4.58% Jan 27th New Year Fest 2018
310 Grand Canyon Win 11-4 2.7 4.2% Jan 28th New Year Fest 2018
235 Arizona State-B Win 13-7 12.74 4.58% Jan 28th New Year Fest 2018
90 Northern Arizona Loss 6-13 -15.2 4.58% Jan 28th New Year Fest 2018
341 Air Force Academy-B** Win 10-2 0 0% Ignored Mar 3rd Air Force Invite 2018
85 Colorado College Loss 6-9 -6.53 5.43% Mar 3rd Air Force Invite 2018
355 Colorado Mesa University** Win 12-2 0 0% Ignored Mar 3rd Air Force Invite 2018
128 Colorado School of Mines Loss 4-9 -26.11 5.05% Mar 3rd Air Force Invite 2018
35 Air Force Loss 3-13 -3.58 6.11% Mar 4th Air Force Invite 2018
35 Air Force Loss 9-10 27.32 6.11% Mar 4th Air Force Invite 2018
341 Air Force Academy-B Win 7-4 -9.35 4.65% Mar 4th Air Force Invite 2018
237 New Mexico Win 9-4 19.45 6.01% Mar 24th Trouble in Vegas 2018
366 Arizona-B** Win 13-0 0 0% Ignored Mar 24th Trouble in Vegas 2018
130 North Texas Win 8-4 40.58 5.77% Mar 24th Trouble in Vegas 2018
316 Cal Poly-SLO-B Win 13-2 2.3 7.26% Mar 24th Trouble in Vegas 2018
225 California-B Win 10-7 10.97 6.87% Mar 24th Trouble in Vegas 2018
146 Nevada-Reno Loss 8-9 -5.18 6.87% Mar 25th Trouble in Vegas 2018
148 San Diego State Loss 7-12 -36.66 7.26% Mar 25th Trouble in Vegas 2018
143 California-San Diego Win 7-4 32.91 5.53% 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.