(41) #162 Air Force (8-11)

982.13 (287)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
66 Georgetown Loss 5-13 -10.3 95 5.16% Counts (Why) Jan 25th Carolina Kickoff 2020
26 South Carolina** Loss 4-13 0 38 0% Ignored (Why) Jan 25th Carolina Kickoff 2020
117 Appalachian State Loss 9-10 1.99 64 5.16% Counts Jan 25th Carolina Kickoff 2020
155 North Carolina-Asheville Loss 8-11 -19.08 130 5.16% Counts Jan 26th Carolina Kickoff 2020
153 Florida State Loss 3-12 -30.14 21 4.95% Counts (Why) Jan 26th Carolina Kickoff 2020
97 Richmond Loss 6-9 -8.07 118 4.59% Counts Jan 26th Carolina Kickoff 2020
236 Samford Win 10-8 -0.54 140 6.56% Counts Feb 29th FCS D III Tune Up 2020
158 Davidson Win 13-9 31.03 144 6.74% Counts Feb 29th FCS D III Tune Up 2020
143 Oberlin Loss 11-12 -5.83 181 6.74% Counts Feb 29th FCS D III Tune Up 2020
322 High Point** Win 13-5 0 120 0% Ignored (Why) Feb 29th FCS D III Tune Up 2020
127 Brandeis Loss 11-13 -6.44 171 6.74% Counts Mar 1st FCS D III Tune Up 2020
190 Berry Loss 8-13 -43.34 132 6.74% Counts Mar 1st FCS D III Tune Up 2020
118 Navy Loss 9-13 -19.24 154 6.74% Counts Mar 1st FCS D III Tune Up 2020
282 Colorado Mesa University Win 13-7 1.55 2 7.11% Counts (Why) Mar 7th Air Force Invite 2020
344 Colorado School of Mines-B** Win 13-2 0 2 0% Ignored (Why) Mar 7th Air Force Invite 2020
94 Denver Win 13-6 66.84 50 7.11% Counts (Why) Mar 7th Air Force Invite 2020
205 Colorado-Colorado Springs Win 13-8 25.61 7.11% Counts Mar 7th Air Force Invite 2020
205 Colorado-Colorado Springs Win 12-7 27.47 7.11% Counts (Why) Mar 8th Air Force Invite 2020
94 Denver Loss 6-9 -9.76 50 6.31% Counts Mar 8th Air Force Invite 2020
**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.