(22) #156 Overdrive (6-11)

273.29 (95)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
127 Timber Win 13-12 27.2 79 6.31% Counts Jul 31st Heavyweights 2021
150 HouSE Win 13-3 47.85 132 6.31% Counts (Why) Jul 31st Heavyweights 2021
13 Mad Men** Loss 4-13 0 44 0% Ignored (Why) Jul 31st Heavyweights 2021
111 Mallard II Loss 6-13 -8.79 22 6.31% Counts (Why) Jul 31st Heavyweights 2021
127 Timber Loss 9-13 -21.22 79 6.69% Counts (Why) Aug 1st Heavyweights 2021
170 Black Market II Win 9-7 2.14 263 6.14% Counts Aug 1st Heavyweights 2021
40 Mallard** Loss 5-15 0 21 0% Ignored (Why) Aug 7th 2021 US Open Club Championships
59 Flash Flood** Loss 4-15 0 1 0% Ignored (Why) Aug 7th 2021 US Open Club Championships
58 Inception Loss 7-15 18.69 19 7.08% Counts (Why) Aug 8th 2021 US Open Club Championships
111 Mallard II Loss 9-15 -9.94 22 7.08% Counts (Why) Aug 8th 2021 US Open Club Championships
10 Sub Zero** Loss 2-13 0 30 0% Ignored (Why) Sep 11th Northwest Plains Mens Club Sectional Championship 2021
149 Swans Loss 9-12 -46.18 138 8.92% Counts (Why) Sep 11th Northwest Plains Mens Club Sectional Championship 2021
150 HouSE Win 11-9 30.41 132 8.92% Counts Sep 11th Northwest Plains Mens Club Sectional Championship 2021
150 HouSE Loss 10-13 -47.98 132 8.92% Counts (Why) Sep 11th Northwest Plains Mens Club Sectional Championship 2021
160 DINGWOP Win 13-12 4.17 88 8.92% Counts Sep 11th Northwest Plains Mens Club Sectional Championship 2021
99 MKE Loss 4-13 -2.4 5 8.92% Counts (Why) Sep 11th Northwest Plains Mens Club Sectional Championship 2021
160 DINGWOP Win 13-12 4.44 88 9.46% Counts Sep 12th Northwest Plains Mens Club Sectional Championship 2021
**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.