(20) #72 Navy (16-6)

1314.35 (69)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
170 Rochester Win 13-2 8.19 10 4.18% Counts (Why) Mar 5th FCS D III Tune Up
212 Kenyon Win 13-7 -1.4 46 4.18% Counts (Why) Mar 5th FCS D III Tune Up
52 Berry Loss 9-13 -11.49 39 4.18% Counts Mar 5th FCS D III Tune Up
134 Oberlin Loss 11-13 -21.7 51 4.18% Counts Mar 5th FCS D III Tune Up
85 Richmond Win 9-7 8.47 27 3.83% Counts Mar 6th FCS D III Tune Up
215 Wooster Win 13-7 -1.8 3 4.18% Counts (Why) Mar 6th FCS D III Tune Up
186 Davidson Win 12-11 -14.96 42 4.18% Counts Mar 6th FCS D III Tune Up
233 Shippensburg** Win 15-5 0 61 0% Ignored (Why) Apr 2nd Atlantic Coast Open
88 Harvard Loss 11-15 -25.9 50 5.26% Counts Apr 2nd Atlantic Coast Open
55 Georgetown Loss 13-14 0.57 30 5.26% Counts Apr 2nd Atlantic Coast Open
81 Cornell Loss 11-13 -15.25 36 5.26% Counts Apr 2nd Atlantic Coast Open
151 Liberty Win 15-6 14.21 1 5.26% Counts (Why) Apr 3rd Atlantic Coast Open
231 George Mason Win 15-8 -3.61 15 5.26% Counts (Why) Apr 3rd Atlantic Coast Open
- St Mary's (Maryland)** Win 15-0 0 1 0% Ignored (Why) Apr 9th Northern Atlantic Coast D III College Mens CC 2022
109 Christopher Newport Loss 13-15 -22.96 52 5.57% Counts Apr 9th Northern Atlantic Coast D III College Mens CC 2022
- Shenandoah University** Win 15-1 0 1 0% Ignored (Why) Apr 9th Northern Atlantic Coast D III College Mens CC 2022
85 Richmond Win 14-11 14.55 27 5.57% Counts Apr 10th Northern Atlantic Coast D III College Mens CC 2022
109 Christopher Newport Win 15-14 -2.94 52 5.57% Counts Apr 10th Northern Atlantic Coast D III College Mens CC 2022
242 Elon Win 15-7 -4.54 109 7.02% Counts (Why) May 7th Atlantic Coast D III College Mens Regionals 2022
186 Davidson Win 15-6 9.95 42 7.02% Counts (Why) May 7th Atlantic Coast D III College Mens Regionals 2022
85 Richmond Win 15-3 40.27 27 7.02% Counts (Why) May 8th Atlantic Coast D III College Mens Regionals 2022
109 Christopher Newport Win 15-5 32.12 52 7.02% Counts (Why) May 8th Atlantic Coast D III College Mens Regionals 2022
**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.