(2) #61 Cal Poly-SLO (10-13)

1206.27 (44)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
7 Brigham Young** Loss 6-15 0 51 0% Ignored (Why) Jan 27th Santa Barbara Invitational 2023
12 California-Santa Barbara Loss 6-12 5.91 27 5.66% Counts Jan 28th Santa Barbara Invitational 2023
35 UCLA Win 10-9 23.16 85 5.81% Counts Jan 28th Santa Barbara Invitational 2023
81 Utah Loss 2-14 -47.09 56 5.81% Counts (Why) Jan 28th Santa Barbara Invitational 2023
84 Lewis & Clark Loss 7-8 -17.87 33 5.16% Counts Jan 29th Santa Barbara Invitational 2023
50 Wisconsin Loss 6-9 -14.71 119 5.16% Counts Jan 29th Santa Barbara Invitational 2023
71 Northwestern Win 7-6 1.81 77 4.81% Counts Jan 29th Santa Barbara Invitational 2023
26 Carleton College-Eclipse Loss 4-6 -0.92 35 4.47% Counts Feb 4th Stanford Open
172 Chico State** Win 12-1 0 18 0% Ignored (Why) Feb 4th Stanford Open
83 Nevada-Reno Win 7-4 14.42 4 4.69% Counts (Why) Feb 4th Stanford Open
26 Carleton College-Eclipse Loss 5-10 -13.2 35 5.47% Counts Feb 5th Stanford Open
- Humboldt State** Win 13-2 0 10 0% Ignored (Why) Feb 5th Stanford Open
118 California-San Diego-B Win 8-2 8.52 2 4.79% Counts (Why) Feb 5th Stanford Open
34 Portland Win 10-8 33.12 77 5.99% Counts Feb 5th Stanford Open
6 Colorado** Loss 2-15 0 27 0% Ignored (Why) Feb 18th President’s Day Invite
23 California-Davis Loss 4-12 -17.45 26 6.63% Counts (Why) Feb 18th President’s Day Invite
30 California Win 9-7 38.67 91 6.34% Counts Feb 18th President’s Day Invite
81 Utah Win 8-5 17.63 56 5.72% Counts (Why) Feb 18th President’s Day Invite
95 Southern California Win 8-6 1.47 79 5.93% Counts Feb 19th President’s Day Invite
8 Stanford** Loss 3-10 0 54 0% Ignored (Why) Feb 19th President’s Day Invite
37 Duke Loss 5-9 -18.13 0 5.93% Counts Feb 19th President’s Day Invite
81 Utah Loss 5-6 -15.99 56 5.26% Counts Feb 19th President’s Day Invite
30 California Loss 7-9 0.83 91 6.34% Counts Feb 20th President’s Day Invite
**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.