(1) #253 Scoop (0-21)

48.49 (73)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
88 Black Lung** Loss 0-13 0 124 0% Ignored (Why) Jun 17th SCINNY1
75 Flying Dutchmen** Loss 0-13 0 66 0% Ignored (Why) Jun 17th SCINNY1
205 On Ramp Loss 6-13 -0.54 107 6.13% Counts (Why) Jun 17th SCINNY1
166 Enigma** Loss 2-15 0 60 0% Ignored (Why) Jun 18th SCINNY1
185 CMen** Loss 5-15 0 70 0% Ignored (Why) Jun 18th SCINNY1
127 Nomads** Loss 5-13 0 73 0% Ignored (Why) Jul 8th Heavyweights 2023
106 MKE** Loss 3-13 0 61 0% Ignored (Why) Jul 8th Heavyweights 2023
194 UFO Loss 6-13 5.25 64 7.2% Counts (Why) Jul 8th Heavyweights 2023
55 Colonels Loss 7-13 69.61 30 7.2% Counts Jul 8th Heavyweights 2023
201 Trident III Loss 7-13 5.46 95 7.2% Counts Jul 9th Heavyweights 2023
191 DCVIII Loss 7-13 10.05 78 7.2% Counts Jul 9th Heavyweights 2023
130 Diesel** Loss 0-13 0 151 0% Ignored (Why) Aug 19th Motown Throwdown 2023
63 I-69** Loss 1-13 0 171 0% Ignored (Why) Aug 19th Motown Throwdown 2023
139 Hazard** Loss 0-13 0 104 0% Ignored (Why) Aug 19th Motown Throwdown 2023
228 Mischief Loss 3-10 -17.24 64 8.66% Counts (Why) Aug 20th Motown Throwdown 2023
239 8-Bit Defenders Loss 9-10 14.87 105 9.91% Counts Aug 20th Motown Throwdown 2023
228 Mischief Loss 5-13 -23.93 64 11.63% Counts (Why) Sep 9th 2023 Mens East Plains Sectional Championship
47 Beacon** Loss 2-13 0 43 0% Ignored (Why) Sep 9th 2023 Mens East Plains Sectional Championship
250 Rotisserie Chicken Loss 13-15 -20.35 83 11.63% Counts Sep 10th 2023 Mens East Plains Sectional Championship
234 MARC Loss 5-15 -32.34 88 11.63% Counts (Why) Sep 10th 2023 Mens East Plains Sectional Championship
216 Exhaust Pipe Loss 5-15 -15.04 69 11.63% Counts (Why) Sep 10th 2023 Mens East Plains 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.