(6) #91 Harvey Cats (12-9)

1090.81 (87)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
76 Gamble Loss 9-10 -2.59 247 4.47% Counts Jun 29th Texas 2 Finger Mens and Womens
147 Glycerine Win 10-8 -2.23 100 4.35% Counts Jun 29th Texas 2 Finger Mens and Womens
116 Papa Bear Win 13-8 17.1 136 4.47% Counts Jun 29th Texas 2 Finger Mens and Womens
221 Surrilic Audovice** Win 13-3 0 108 0% Ignored (Why) Jun 29th Texas 2 Finger Mens and Womens
29 Clutch Loss 9-15 -3.18 42 4.47% Counts Jun 30th Texas 2 Finger Mens and Womens
76 Gamble Win 11-9 14.93 247 4.47% Counts Jun 30th Texas 2 Finger Mens and Womens
85 Dreadnought Loss 10-14 -17.53 48 4.47% Counts Jun 30th Texas 2 Finger Mens and Womens
76 Gamble Win 11-10 10.2 247 4.98% Counts Jul 13th Riverside Classic 2019
208 Alamode** Win 15-5 0 70 0% Ignored (Why) Jul 13th Riverside Classic 2019
229 Texas Toast** Win 15-4 0 102 0% Ignored (Why) Jul 13th Riverside Classic 2019
27 H.I.P Loss 6-15 -7.45 79 4.98% Counts (Why) Jul 14th Riverside Classic 2019
80 Texas United Win 14-9 27.58 95 4.98% Counts Jul 14th Riverside Classic 2019
69 Riverside Loss 10-15 -17.71 97 4.98% Counts Jul 14th Riverside Classic 2019
155 Flash Flood Win 13-7 17.71 7.62% Counts (Why) Sep 7th Texas Mens Club Sectional Championship 2019
76 Gamble Loss 9-12 -22.75 247 7.62% Counts Sep 7th Texas Mens Club Sectional Championship 2019
27 H.I.P Loss 4-13 -11.74 79 7.62% Counts (Why) Sep 7th Texas Mens Club Sectional Championship 2019
208 Alamode** Win 13-5 0 70 0% Ignored (Why) Sep 7th Texas Mens Club Sectional Championship 2019
29 Clutch Loss 7-13 -9.07 42 7.62% Counts Sep 8th Texas Mens Club Sectional Championship 2019
154 Foxtrot Win 13-8 13.78 140 7.62% Counts Sep 8th Texas Mens Club Sectional Championship 2019
147 Glycerine Win 13-5 23.8 100 7.62% Counts (Why) Sep 8th Texas Mens Club Sectional Championship 2019
69 Riverside Loss 8-13 -31.42 97 7.62% Counts Sep 8th Texas Mens Club Sectional Championship 2019
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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.