(13) #96 Bear Jordan (12-5)

1076 (14)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
202 Spice Win 11-9 -15.44 11 5.04% Counts Jul 8th Summer Glazed Daze 2023
130 904 Shipwreck Win 12-8 14.5 44 5.04% Counts Jul 8th Summer Glazed Daze 2023
152 Verdant Win 11-9 -0.12 104 5.04% Counts Jul 8th Summer Glazed Daze 2023
85 Too Much Fun Win 9-8 9.98 55 4.76% Counts Jul 8th Summer Glazed Daze 2023
206 Piedmont United Win 15-5 0.9 23 6.57% Counts (Why) Aug 12th HoDown Showdown 2023
126 Barefoot Win 15-5 34.56 80 6.57% Counts (Why) Aug 12th HoDown Showdown 2023
195 MoonPi Win 12-9 -11.45 117 6.57% Counts Aug 12th HoDown Showdown 2023
115 Dizzy Kitty Win 15-10 27.87 65 6.57% Counts Aug 13th HoDown Showdown 2023
73 m'kay Ultimate Loss 11-15 -15.72 30 6.57% Counts Aug 13th HoDown Showdown 2023
86 Crown Peach Loss 9-10 -3.8 76 6.57% Counts Aug 13th HoDown Showdown 2023
236 Rampage** Win 13-3 0 210 0% Ignored (Why) Sep 9th 2023 Mixed North Carolina Sectional Championship
248 Pickles** Win 13-5 0 116 0% Ignored (Why) Sep 9th 2023 Mixed North Carolina Sectional Championship
107 FlyTrap Loss 12-13 -14.36 101 8.14% Counts Sep 9th 2023 Mixed North Carolina Sectional Championship
141 Catalyst Win 13-8 25.38 20 8.14% Counts Sep 9th 2023 Mixed North Carolina Sectional Championship
122 Magnanimouse Win 12-11 2.68 102 8.14% Counts Sep 10th 2023 Mixed North Carolina Sectional Championship
75 Brunch Club Loss 8-13 -33.59 293 8.14% Counts Sep 10th 2023 Mixed North Carolina Sectional Championship
107 FlyTrap Loss 13-15 -22.26 101 8.14% Counts Sep 10th 2023 Mixed North Carolina Sectional Championship
**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.