(4) #36 Colorado College (9-15)

2033.18 (421)

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# Opponent Result Effect % of Ranking Status Date Event
13 Ohio State Loss 8-10 4.27 3.76% Feb 3rd Queen City Tune Up 2018 College Women
12 Carleton College Loss 6-13 -8.49 3.87% Feb 3rd Queen City Tune Up 2018 College Women
41 Georgia Tech Loss 9-10 -5.98 3.87% Feb 3rd Queen City Tune Up 2018 College Women
21 Michigan Loss 8-11 -6.45 3.87% Feb 3rd Queen City Tune Up 2018 College Women
79 Chicago Win 13-5 9.99 4.34% Feb 17th Presidents Day Invitational Tournament 2018
105 Chico State Win 13-3 2.09 4.34% Feb 17th Presidents Day Invitational Tournament 2018
55 Iowa State Win 13-4 18.75 4.34% Feb 17th Presidents Day Invitational Tournament 2018
4 Stanford Loss 9-10 24.38 4.34% Feb 17th Presidents Day Invitational Tournament 2018
16 Western Washington Loss 10-12 3.32 4.34% Feb 18th Presidents Day Invitational Tournament 2018
33 UCLA Loss 11-13 -9.04 4.34% Feb 18th Presidents Day Invitational Tournament 2018
9 Colorado Loss 6-14 -6.06 4.34% Feb 18th Presidents Day Invitational Tournament 2018
61 California-Davis Win 15-0 17.45 4.34% Feb 19th Presidents Day Invitational Tournament 2018
20 Washington Loss 8-11 -7.19 4.34% Feb 19th Presidents Day Invitational Tournament 2018
131 Air Force Academy Win 9-5 -9.53 4.18% Mar 3rd Air Force Invite 2018
18 Brigham Young Loss 9-11 0.21 4.87% Mar 3rd Air Force Invite 2018
- Colorado School of Mines** Win 13-1 0 0% Ignored Mar 3rd Air Force Invite 2018
154 Colorado-B Win 7-3 -10.29 3.53% Mar 4th Air Force Invite 2018
104 Denver Win 9-4 2.03 4.03% Mar 4th Air Force Invite 2018
2 California-San Diego** Loss 4-13 0 0% Ignored Mar 24th NW Challenge 2018
17 California-Santa Barbara Loss 7-15 -19.24 5.79% Mar 24th NW Challenge 2018
35 Cal Poly-SLO Loss 12-13 -7.48 5.79% Mar 24th NW Challenge 2018
38 Victoria Win 11-8 21.68 5.79% Mar 24th NW Challenge 2018
12 Carleton College Loss 5-15 -12.99 5.79% Mar 25th NW Challenge 2018
26 California Loss 10-11 -1.53 5.79% Mar 25th NW Challenge 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.