(2) #148 Spring Break '93 (5-13)

373.62 (31)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
43 Rumspringa Loss 7-13 22.35 3 5.86% Counts Aug 6th Philly Open 2022
29 Big Wrench Loss 6-13 30.2 25 5.86% Counts (Why) Aug 6th Philly Open 2022
155 Rebels Win 11-9 13.54 41 5.86% Counts Aug 6th Philly Open 2022
120 Chimney Loss 8-13 -8.2 30 5.86% Counts Aug 7th Philly Open 2022
135 Winc City Fog of War Loss 8-11 -9 42 5.86% Counts Aug 7th Philly Open 2022
139 MOB Ultimate Loss 7-12 -22.08 39 5.86% Counts Aug 7th Philly Open 2022
161 Scoop Win 12-10 7.92 38 6.88% Counts Aug 27th The Incident 2022
53 CITYWIDE Special** Loss 0-13 0 10 0% Ignored (Why) Aug 27th The Incident 2022
170 Deepfake Win 12-6 16.68 34 6.7% Counts (Why) Aug 27th The Incident 2022
39 Lantern** Loss 5-13 0 71 0% Ignored (Why) Aug 27th The Incident 2022
171 FLI-B Honeybees Win 13-7 9.24 32 6.88% Counts (Why) Aug 28th The Incident 2022
131 7AM Loss 9-15 -16.53 35 6.88% Counts Aug 28th The Incident 2022
51 Needham Squad Loss 9-15 23.26 70 6.88% Counts Aug 28th The Incident 2022
- Bartle Boys Loss 12-14 -1.34 28 7.65% Counts Sep 10th 2022 Metro NY Mens Sectional Chamionship
33 Blueprint** Loss 2-15 0 54 0% Ignored (Why) Sep 10th 2022 Metro NY Mens Sectional Chamionship
170 Deepfake Loss 10-11 -39.11 34 7.65% Counts Sep 11th 2022 Metro NY Mens Sectional Chamionship
171 FLI-B Honeybees Win 12-10 -16.11 32 7.65% Counts Sep 11th 2022 Metro NY Mens Sectional Chamionship
- Haze Loss 8-13 -11.71 26 7.65% Counts Sep 11th 2022 Metro NY Mens Sectional Chamionship
**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.