(11) #79 Red Tide (12-10)

1371.93 (144)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
158 Alibi Win 15-2 4.69 125 3.89% Counts (Why) Jul 8th AntlerLock
230 Bartle Boys** Win 15-4 0 108 0% Ignored (Why) Jul 8th AntlerLock
51 TireBizFriz Win 12-8 25.15 104 3.89% Counts Jul 8th AntlerLock
154 Odyssey Win 15-4 4.95 114 3.89% Counts (Why) Jul 8th AntlerLock
189 Dirty Laundry Win 11-10 -20.18 105 3.89% Counts Jul 9th AntlerLock
226 Buffalo Frostbite** Win 15-3 0 108 0% Ignored (Why) Jul 9th AntlerLock
24 Blueprint Win 12-9 31.56 41 4.1% Counts Jul 15th Boston Invite 2023
92 Club M - Manic Loss 9-10 -8.79 103 4.1% Counts Jul 15th Boston Invite 2023
26 Sprout Loss 9-12 1.22 17 4.1% Counts Jul 15th Boston Invite 2023
82 Lantern Loss 9-10 -6.3 64 4.1% Counts Jul 15th Boston Invite 2023
71 Big Wrench Loss 11-14 -14.67 215 4.81% Counts Aug 5th Vacationland
92 Club M - Manic Win 15-10 18.86 103 4.81% Counts Aug 5th Vacationland
109 Ascension Loss 12-13 -16.59 116 4.81% Counts Aug 6th Vacationland
62 Shade Loss 13-15 -6.9 88 4.81% Counts Aug 6th Vacationland
92 Club M - Manic Win 13-11 7.5 103 4.81% Counts Aug 6th Vacationland
32 Scoop Loss 12-13 11.98 148 6.28% Counts Sep 9th 2023 Mens East New England Sectional Championship
71 Big Wrench Win 13-9 29.61 215 6.28% Counts Sep 9th 2023 Mens East New England Sectional Championship
169 MBTA Win 15-4 3.93 123 6.28% Counts (Why) Sep 9th 2023 Mens East New England Sectional Championship
82 Lantern Win 13-8 31.77 64 6.28% Counts Sep 9th 2023 Mens East New England Sectional Championship
71 Big Wrench Loss 7-12 -33.35 215 6.28% Counts Sep 10th 2023 Mens East New England Sectional Championship
82 Lantern Loss 9-12 -24.64 64 6.28% Counts Sep 10th 2023 Mens East New England Sectional Championship
154 Odyssey Loss 14-15 -40.4 114 6.28% Counts Sep 10th 2023 Mens East New England 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.