() #20 Sprout (8-11)

1639.69 (23)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
3 PoNY Loss 6-11 -5.16 2 3.31% Counts Jun 25th Phantom Invite
11 Pittsburgh Temper Loss 9-11 -4.07 3 3.5% Counts Jun 25th Phantom Invite
15 Vault Loss 8-12 -12.16 0 3.5% Counts Jun 25th Phantom Invite
1 Truck Stop Loss 9-12 5.17 1 3.5% Counts Jun 26th Phantom Invite
27 Phantom Win 11-8 7.36 2 3.5% Counts Jun 26th Phantom Invite
7 Johnny Bravo Loss 10-12 2.68 1 4.81% Counts Aug 5th 2022 US Open Club Championships
30 Emerald City Loss 12-13 -15.67 2 4.81% Counts Aug 5th 2022 US Open Club Championships
11 Pittsburgh Temper Win 15-9 33 3 4.81% Counts Aug 5th 2022 US Open Club Championships
22 Sub Zero Loss 12-15 -19.87 8 4.81% Counts Aug 6th 2022 US Open Club Championships
11 Pittsburgh Temper Loss 10-15 -16.01 3 4.81% Counts Aug 6th 2022 US Open Club Championships
67 Inception Win 15-6 2.61 2 4.81% Counts (Why) Aug 7th 2022 US Open Club Championships
- Club M - Manic Win 15-11 1.96 5 6.29% Counts Sep 10th 2022 West New England Mens Sectional Championship
- Club M - Manic Win 15-6 16.63 5 6.29% Counts (Why) Sep 10th 2022 West New England Mens Sectional Championship
24 TireBizFriz Loss 8-12 -36.31 35 6.29% Counts Sep 10th 2022 West New England Mens Sectional Championship
29 Big Wrench Win 15-4 31.23 4 6.99% Counts (Why) Sep 24th 2022 Northeast Mens Regional Championship
24 TireBizFriz Loss 11-13 -24.74 35 6.99% Counts Sep 24th 2022 Northeast Mens Regional Championship
44 Red Tide Win 15-5 16.11 3 6.99% Counts (Why) Sep 24th 2022 Northeast Mens Regional Championship
14 GOAT Loss 11-13 -8.56 2 6.99% Counts Sep 25th 2022 Northeast Mens Regional Championship
24 TireBizFriz Win 15-10 26.57 35 6.99% Counts Sep 25th 2022 Northeast Mens Regional 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.