(8) #71 Jackwagon (5-13)

497.72 (152)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
- Molly Blue** Loss 5-15 11.08 89 4.83% Counts (Why) Jun 24th Colorado Summer Solstice 2023
85 Colorado Cutthroat: Youth Club U-20 Girls Loss 6-7 -15.37 93 4% Counts Jun 24th Colorado Summer Solstice 2023
49 Trainwreck Loss 4-11 -7.6 26 4.44% Counts (Why) Jun 24th Colorado Summer Solstice 2023
20 Wildfire** Loss 3-11 0 26 0% Ignored (Why) Jul 15th TCT Select Flight West 2023
45 Rampage Loss 6-11 -4.01 7 5.37% Counts Jul 15th TCT Select Flight West 2023
100 Just Add Water Win 9-5 -7.67 34 4.87% Counts (Why) Jul 15th TCT Select Flight West 2023
68 Venom Loss 6-9 -19.15 59 5.04% Counts Jul 16th TCT Select Flight West 2023
38 FAB** Loss 3-11 0 43 0% Ignored (Why) Jul 16th TCT Select Flight West 2023
87 Haboob Win 10-6 8.52 27 5.21% Counts (Why) Jul 16th TCT Select Flight West 2023
25 Colorado Small Batch** Loss 4-13 0 52 0% Ignored (Why) Sep 9th 2023 Womens Rocky Mountain Sectional Championship
70 COSMOS Loss 5-10 -47.64 14 7.72% Counts Sep 9th 2023 Womens Rocky Mountain Sectional Championship
49 Trainwreck Loss 1-13 -15.58 26 8.69% Counts (Why) Sep 9th 2023 Womens Rocky Mountain Sectional Championship
85 Colorado Cutthroat: Youth Club U-20 Girls Win 10-5 27.61 93 7.72% Counts (Why) Sep 9th 2023 Womens Rocky Mountain Sectional Championship
32 Crush City Loss 5-11 21 21 8.87% Counts (Why) Sep 23rd 2023 South Central Womens Regional
40 Hayride Loss 4-6 16.17 33 7.01% Counts Sep 23rd 2023 South Central Womens Regional
64 TWISTED Loss 5-7 -11.33 89 7.68% Counts Sep 23rd 2023 South Central Womens Regional
82 Venom Win 10-6 26.98 269 8.87% Counts (Why) Sep 24th 2023 South Central Womens Regional
91 Firewheel Win 15-2 18.91 244 9.67% Counts (Why) Sep 24th 2023 South Central Womens Regional
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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.