() #64 Rush Hour (6-13)

366.53 (18)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
42 Vice Loss 5-13 -9.39 53 6.6% Counts (Why) Jul 16th Boston Invite 2022
24 Starling Ultimate** Loss 2-14 0 35 0% Ignored (Why) Jul 16th Boston Invite 2022
65 Ignite Win 8-7 4.91 106 5.86% Counts Jul 16th Boston Invite 2022
- Vanish Win 8-4 -0.75 13 5.24% Counts (Why) Jul 17th Boston Invite 2022
- BUDA U20G Loss 10-12 -41.85 28 6.6% Counts Jul 17th Boston Invite 2022
73 PLOW Loss 6-10 -52.74 219 6.05% Counts Jul 17th Boston Invite 2022
15 BENT** Loss 0-13 0 16 0% Ignored (Why) Aug 27th The Incident 2022
37 Brooklyn Book Club Loss 6-13 1.57 31 9.08% Counts (Why) Aug 27th The Incident 2022
- DINO Win 13-1 0 0% Ignored (Why) Aug 27th The Incident 2022
74 Dissent Win 13-3 19.36 39 9.08% Counts (Why) Aug 27th The Incident 2022
15 BENT** Loss 0-13 0 16 0% Ignored (Why) Sep 10th 2022 Metro NY Womens Sectional Championship
37 Brooklyn Book Club** Loss 5-13 0 31 0% Ignored (Why) Sep 10th 2022 Metro NY Womens Sectional Championship
65 Ignite Win 13-5 62.25 106 10.1% Counts (Why) Sep 10th 2022 Metro NY Womens Sectional Championship
- Remember When Loss 8-9 0.22 30 9.56% Counts Sep 10th 2022 Metro NY Womens Sectional Championship
- Iris** Loss 0-15 0 23 0% Ignored (Why) Sep 24th 2022 Northeast Womens Regional Championship
65 Ignite Win 10-8 26.6 106 10.94% Counts Sep 24th 2022 Northeast Womens Regional Championship
24 Starling Ultimate** Loss 1-15 0 35 0% Ignored (Why) Sep 24th 2022 Northeast Womens Regional Championship
49 Frolic Loss 8-15 -24.34 139 11.24% Counts Sep 25th 2022 Northeast Womens Regional Championship
41 Rip Tide Alumni Loss 6-8 17.95 38 9.65% Counts Sep 25th 2022 Northeast Womens Regional 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.