() #61 Trainwreck (8-10)

809.84 (0)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
4 Molly Brown** Loss 1-13 0 10 0% Ignored (Why) Jun 22nd Fort Collins Summer Solstice 2019
66 Jackwagon Loss 8-9 -12.65 2 4.72% Counts Jun 22nd Fort Collins Summer Solstice 2019
27 Wicked Loss 7-11 6.35 1 4.85% Counts Jun 23rd Fort Collins Summer Solstice 2019
54 Dish Loss 7-11 -19.14 5 4.85% Counts Jun 23rd Fort Collins Summer Solstice 2019
55 Crackle Loss 9-13 -30.97 1 7.91% Counts Aug 17th Cooler Classic 31
103 The Matriarchy** Win 13-1 0 4 0% Ignored (Why) Aug 17th Cooler Classic 31
84 Cold Cuts Win 13-8 -1.11 3 7.91% Counts Aug 17th Cooler Classic 31
91 MystiKuE Win 13-7 -5.27 3 7.91% Counts (Why) Aug 17th Cooler Classic 31
52 Stellar Loss 7-9 -10.15 0 7.26% Counts Aug 18th Cooler Classic 31
55 Crackle Win 6-5 11.74 1 6.02% Counts Aug 18th Cooler Classic 31
28 Colorado Small Batch Loss 4-15 -1.48 7 9.41% Counts (Why) Sep 7th Rocky Mountain Womens Club Sectional Championship 2019
66 Jackwagon Win 11-4 44.36 2 8.64% Counts (Why) Sep 7th Rocky Mountain Womens Club Sectional Championship 2019
- COSMOS** Win 15-2 0 0% Ignored (Why) Sep 7th Rocky Mountain Womens Club Sectional Championship 2019
17 Showdown** Loss 0-13 0 3 0% Ignored (Why) Sep 21st South Central Club Womens Regional Championship 2019
50 Crush City Win 13-10 61.13 7 10.56% Counts Sep 21st South Central Club Womens Regional Championship 2019
83 Inferno Win 8-7 -39.01 3 9.39% Counts Sep 21st South Central Club Womens Regional Championship 2019
28 Colorado Small Batch Loss 3-13 -1.69 7 10.56% Counts (Why) Sep 22nd South Central Club Womens Regional Championship 2019
4 Molly Brown** Loss 0-13 0 10 0% Ignored (Why) Sep 22nd South Central Club Womens Regional 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.