(1) #228 Flying Dutchmen (2-17)

221.39 (4)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
227 Bird Patrol Win 14-13 10.01 4 6.79% Counts Jun 22nd SCINNY 2019
190 A-Block Win 15-14 31.68 4 6.79% Counts Jun 22nd SCINNY 2019
184 Chimney Loss 12-13 15.29 4 6.79% Counts Jun 22nd SCINNY 2019
146 Babe Loss 12-13 34.3 4 6.79% Counts Jun 22nd SCINNY 2019
84 Black Lung** Loss 4-15 0 6 0% Ignored (Why) Jun 23rd SCINNY 2019
205 Flying Pig Loss 3-15 -28.55 4 6.79% Counts (Why) Jun 23rd SCINNY 2019
208 Red Imp.ala Loss 10-12 -3.93 4 6.79% Counts Jun 23rd SCINNY 2019
133 Kentucky Flying Circus** Loss 2-13 0 5 0% Ignored (Why) Jul 6th Motown Throwdown 2019
164 BlackER Market Y Loss 7-12 -2.54 4 7.62% Counts Jul 6th Motown Throwdown 2019
81 Omen** Loss 4-13 0 5 0% Ignored (Why) Jul 6th Motown Throwdown 2019
200 NEO Loss 7-9 -3.37 3 6.99% Counts Jul 7th Motown Throwdown 2019
133 Kentucky Flying Circus** Loss 3-13 0 5 0% Ignored (Why) Jul 7th Motown Throwdown 2019
235 Buffalo Open Loss 9-11 -37.96 3 7.62% Counts Jul 7th Motown Throwdown 2019
84 Black Lung** Loss 3-11 0 6 0% Ignored (Why) Sep 7th East Plains Mens Club Sectional Championship 2019
135 Enigma Loss 7-11 26.73 4 12.47% Counts Sep 7th East Plains Mens Club Sectional Championship 2019
193 Midnight Meat Train Loss 5-11 -42.15 4 11.76% Counts (Why) Sep 7th East Plains Mens Club Sectional Championship 2019
20 CLE Smokestack** Loss 0-11 0 8 0% Ignored (Why) Sep 7th East Plains Mens Club Sectional Championship 2019
200 NEO Loss 10-12 -0.53 3 12.81% Counts Sep 8th East Plains Mens Club Sectional Championship 2019
133 Kentucky Flying Circus** Loss 4-11 0 5 0% Ignored (Why) Sep 8th East Plains Mens Club Sectional Championship 2019
**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.