(1) #225 Forge (4-15)

488.24 (51)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
98 Riverside** Loss 3-13 0 103 0% Ignored (Why) Jul 22nd Riverside Classic 2023
229 Riverside Messengers-B Win 7-2 32.17 50 5.4% Counts (Why) Jul 22nd Riverside Classic 2023
168 San Antonio Warhawks Loss 6-8 2.9 54 6.39% Counts Jul 22nd Riverside Classic 2023
77 BARNSTORM** Loss 5-13 0 36 0% Ignored (Why) Jul 22nd Riverside Classic 2023
229 Riverside Messengers-B Win 15-5 45.33 50 7.44% Counts (Why) Jul 23rd Riverside Classic 2023
159 Choice City Hops Loss 11-15 1.23 75 7.44% Counts Jul 23rd Riverside Classic 2023
153 Sprawl Loss 6-8 7.52 47 6.39% Counts Jul 23rd Riverside Classic 2023
254 Adventure Time Win 13-1 7.09 46 8.28% Counts (Why) Aug 5th Dog Days of Summer 23
165 Firefly TX Loss 6-8 5.31 45 7.11% Counts Aug 5th Dog Days of Summer 23
69 Clutch** Loss 3-13 0 72 0% Ignored (Why) Aug 5th Dog Days of Summer 23
102 Harvey Cats** Loss 5-13 0 83 0% Ignored (Why) Aug 6th Dog Days of Summer 23
50 H.I.P** Loss 4-13 0 39 0% Ignored (Why) Aug 6th Dog Days of Summer 23
203 Shrimp Discs Loss 13-15 -4.55 41 8.28% Counts Aug 6th Dog Days of Summer 23
98 Riverside** Loss 6-15 0 103 0% Ignored (Why) Sep 9th 2023 Mens Texas Sectional Championship
229 Riverside Messengers-B Loss 10-11 -19.58 50 10.81% Counts Sep 9th 2023 Mens Texas Sectional Championship
97 Texas Duffy** Loss 6-15 0 43 0% Ignored (Why) Sep 9th 2023 Mens Texas Sectional Championship
229 Riverside Messengers-B Loss 10-14 -52.76 50 10.81% Counts Sep 10th 2023 Mens Texas Sectional Championship
168 San Antonio Warhawks Loss 6-15 -31.16 54 10.81% Counts (Why) Sep 10th 2023 Mens Texas Sectional Championship
251 Throwing Shade Win 15-10 1.97 52 10.81% Counts Sep 10th 2023 Mens Texas Sectional Championship
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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.