(7) #89 Tempo (3-13)

138.45 (170)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
52 Void Cat Rewind** Loss 2-15 0 18 0% Ignored (Why) Jun 10th Bay Area Ultimate Classic 2023
38 FAB** Loss 1-15 0 43 0% Ignored (Why) Jun 10th Bay Area Ultimate Classic 2023
99 Off Their Rockers Loss 8-9 -39.62 129 8.59% Counts Jun 10th Bay Area Ultimate Classic 2023
100 Just Add Water Loss 8-11 -68.4 34 9.08% Counts Jun 11th Bay Area Ultimate Classic 2023
21 LOL** Loss 3-15 0 6 0% Ignored (Why) Jun 11th Bay Area Ultimate Classic 2023
98 Ultraviolet Loss 5-7 -43.18 135 7.21% Counts Jun 11th Bay Area Ultimate Classic 2023
52 Void Cat Rewind** Loss 3-15 0 18 0% Ignored (Why) Sep 9th 2023 Womens NorCal Sectional Championship
88 Sac Lunch Win 10-8 59.88 145 17.67% Counts Sep 9th 2023 Womens NorCal Sectional Championship
98 Ultraviolet Win 13-7 73.26 135 18.15% Counts (Why) Sep 9th 2023 Womens NorCal Sectional Championship
52 Void Cat Rewind** Loss 2-15 0 18 0% Ignored (Why) Sep 10th 2023 Womens NorCal Sectional Championship
38 FAB** Loss 2-15 0 43 0% Ignored (Why) Sep 10th 2023 Womens NorCal Sectional Championship
20 Wildfire** Loss 2-13 0 26 0% Ignored (Why) Sep 23rd 2023 Southwest Womens Regional Championship
13 Nightlock** Loss 1-15 0 33 0% Ignored (Why) Sep 23rd 2023 Southwest Womens Regional Championship
45 Rampage** Loss 1-13 0 7 0% Ignored (Why) Sep 23rd 2023 Southwest Womens Regional Championship
68 Venom Loss 6-11 -30.62 59 19.1% Counts Sep 24th 2023 Southwest Womens Regional Championship
87 Haboob Win 11-9 67.69 27 20.2% Counts Sep 24th 2023 Southwest 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.