(1) #160 Alibi (6-14)

268.92 (1)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
167 Odyssey Win 15-4 25.04 1 5.3% Counts (Why) Jul 9th Antlerlock 2022
40 Lantern** Loss 4-15 0 3 0% Ignored (Why) Jul 9th Antlerlock 2022
24 TireBizFriz** Loss 6-15 0 35 0% Ignored (Why) Jul 9th Antlerlock 2022
73 Colt Loss 5-10 10.73 0 4.97% Counts Jul 16th Boston Invite 2022
- Red Squirrels Win 12-11 12.36 1 5.59% Counts Jul 16th Boston Invite 2022
122 TROUT Loss 4-12 -7.92 1 5.36% Counts (Why) Jul 16th Boston Invite 2022
134 MBTA Loss 3-15 -15.73 1 5.59% Counts (Why) Jul 16th Boston Invite 2022
138 NIIIght Loss 7-15 -19.29 2 5.59% Counts (Why) Jul 17th Boston Invite 2022
167 Odyssey Loss 8-10 -23.88 1 5.44% Counts Jul 17th Boston Invite 2022
153 ADK Mountain Crew Loss 14-15 -3.87 1 7.3% Counts Aug 20th Northeast Classic 2022
167 Odyssey Win 15-13 4.86 1 7.3% Counts Aug 20th Northeast Classic 2022
134 MBTA Loss 8-15 -18.14 1 7.3% Counts Aug 20th Northeast Classic 2022
153 ADK Mountain Crew Win 15-11 35.97 1 7.3% Counts Aug 21st Northeast Classic 2022
134 MBTA Loss 14-15 16.47 1 7.3% Counts Aug 21st Northeast Classic 2022
153 ADK Mountain Crew Loss 9-13 -32.09 1 8.56% Counts Sep 10th 2022 Upstate NY Mens Sectional Championship
167 Odyssey Win 12-9 18.07 1 8.56% Counts Sep 10th 2022 Upstate NY Mens Sectional Championship
- Dynasty** Loss 2-13 0 0 0% Ignored (Why) Sep 10th 2022 Upstate NY Mens Sectional Championship
14 GOAT** Loss 2-13 0 2 0% Ignored (Why) Sep 10th 2022 Upstate NY Mens Sectional Championship
32 Phoenix** Loss 3-13 0 1 0% Ignored (Why) Sep 11th 2022 Upstate NY Mens Sectional Championship
167 Odyssey Win 13-12 -2.57 1 8.56% Counts Sep 11th 2022 Upstate NY Mens 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.