(3) #67 Maryland (11-8)

1370.03 (48)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
53 Appalachian State Win 15-13 13.58 76 4.67% Counts Feb 11th Queen City Tune Up1
122 Carnegie Mellon Win 12-8 7.51 54 4.67% Counts Feb 11th Queen City Tune Up1
17 South Carolina Loss 10-14 0.25 81 4.67% Counts Feb 11th Queen City Tune Up1
13 Tufts Loss 8-15 -3.75 70 4.67% Counts Feb 11th Queen City Tune Up1
35 Washington University Loss 12-13 5.6 68 4.67% Counts Feb 12th Queen City Tune Up1
50 Virginia Win 13-9 24.1 66 4.67% Counts Feb 12th Queen City Tune Up1
106 Florida State Win 12-11 -4.68 75 5.24% Counts Feb 25th Easterns Qualifier 2023
40 Duke Loss 11-12 1.97 72 5.24% Counts Feb 25th Easterns Qualifier 2023
70 Notre Dame Win 13-12 6.12 67 5.24% Counts Feb 25th Easterns Qualifier 2023
25 North Carolina-Wilmington Loss 9-12 -1.18 69 5.24% Counts Feb 25th Easterns Qualifier 2023
84 Alabama Win 13-12 1.5 49 5.24% Counts Feb 26th Easterns Qualifier 2023
55 Georgetown Loss 13-15 -9.57 67 5.24% Counts Feb 26th Easterns Qualifier 2023
117 Georgia State Win 12-10 -1.18 109 5.24% Counts Feb 26th Easterns Qualifier 2023
167 SUNY-Cortland Win 13-4 7.91 101 5.88% Counts (Why) Mar 11th Oak Creek Invite 2023
101 Liberty Loss 8-11 -34.13 78 5.88% Counts Mar 11th Oak Creek Invite 2023
72 RIT Win 12-11 6.57 23 5.88% Counts Mar 11th Oak Creek Invite 2023
173 SUNY-Geneseo Win 13-7 3.86 30 5.88% Counts (Why) Mar 11th Oak Creek Invite 2023
183 Maine Win 13-8 -3.73 15 5.88% Counts Mar 12th Oak Creek Invite 2023
65 Princeton Loss 9-12 -21.32 9 5.88% Counts Mar 12th Oak Creek Invite 2023
**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.