(6) #115 Bomb Squad (16-6)

1144.34 (95)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
180 SUPA FC Win 11-9 -4.44 108 4.03% Counts Jul 8th MOB Open 2023
186 Town Hall Stars Win 10-7 -0.01 95 3.81% Counts Jul 8th MOB Open 2023
91 Helots Win 11-9 16.79 68 4.03% Counts Jul 8th MOB Open 2023
52 Oakgrove Boys Loss 5-15 -9.1 88 4.03% Counts (Why) Jul 8th MOB Open 2023
133 BAG Win 10-9 0.79 115 4.99% Counts Aug 5th Philly Open 2023
209 Long Island Riff Raff Win 13-6 2.37 104 4.99% Counts (Why) Aug 5th Philly Open 2023
177 JAWN Win 8-6 -1.41 119 4.28% Counts Aug 5th Philly Open 2023
91 Helots Loss 8-9 1.27 68 4.72% Counts Aug 6th Philly Open 2023
94 Magma Bears Win 13-9 29.7 65 4.99% Counts Aug 6th Philly Open 2023
52 Oakgrove Boys Loss 6-11 -8.09 88 4.72% Counts Aug 6th Philly Open 2023
235 Adelphos** Win 13-2 0 102 0% Ignored (Why) Aug 26th The Incident 2023
189 Dirty Laundry Win 12-5 12.14 105 5.62% Counts (Why) Aug 26th The Incident 2023
252 Deepfake** Win 13-1 0 102 0% Ignored (Why) Aug 26th The Incident 2023
163 Crossfire Win 13-8 13.13 109 5.86% Counts Aug 26th The Incident 2023
102 Harvey Cats Loss 7-14 -32.34 83 5.86% Counts Aug 27th The Incident 2023
163 Crossfire Win 13-12 -9.95 109 5.86% Counts Aug 27th The Incident 2023
157 Winc City Fog of War Win 11-9 -0.43 103 6.51% Counts Sep 9th 2023 Mens Capital Sectional Championship
227 Brackish** Win 12-5 0 106 0% Ignored (Why) Sep 9th 2023 Mens Capital Sectional Championship
183 Bearfax Win 11-6 12.17 98 6.16% Counts (Why) Sep 9th 2023 Mens Capital Sectional Championship
83 Red Wolves Loss 4-15 -27.62 80 6.51% Counts (Why) Sep 10th 2023 Mens Capital Sectional Championship
161 MOB Ultimate Win 15-3 22.33 107 6.51% Counts (Why) Sep 10th 2023 Mens Capital Sectional Championship
95 Puzzles Loss 10-14 -17.69 91 6.51% Counts Sep 10th 2023 Mens Capital Sectional Championship
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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.