(6) #112 Harvey Cats (4-12)

702.45 (74)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
58 Berkeley Zyzzyva Loss 10-15 -8.79 65 5.88% Counts Aug 14th TCT Select Flight Invite West 2021
32 El Niño Loss 8-12 8.08 71 5.88% Counts Aug 14th TCT Select Flight Invite West 2021
30 OAT Loss 9-15 4.53 64 5.88% Counts Aug 14th TCT Select Flight Invite West 2021
55 Hazard Loss 10-11 12.29 61 5.88% Counts Aug 15th TCT Select Flight Invite West 2021
136 Glycerine Loss 9-12 -42.73 75 7.28% Counts Sep 11th Texas Mens Club Sectional Championship 2021
28 H.I.P Loss 9-13 14.68 85 7.28% Counts Sep 11th Texas Mens Club Sectional Championship 2021
174 San Antonio Warhawks** Win 13-5 0 76 0% Ignored (Why) Sep 11th Texas Mens Club Sectional Championship 2021
122 Firefly TX Win 13-9 25.65 75 7.28% Counts Sep 12th Texas Mens Club Sectional Championship 2021
123 Foxtrot Win 12-9 17.81 76 7.28% Counts Sep 12th Texas Mens Club Sectional Championship 2021
91 Riverside Loss 7-10 -18.3 76 6.88% Counts Sep 12th Texas Mens Club Sectional Championship 2021
122 Firefly TX Win 13-9 28.79 75 8.1% Counts Sep 25th South Central Club Mens Regional Championship 2021
34 Clutch Loss 3-13 -5.55 76 8.1% Counts (Why) Sep 25th South Central Club Mens Regional Championship 2021
28 H.I.P** Loss 5-13 0 85 0% Ignored (Why) Sep 25th South Central Club Mens Regional Championship 2021
98 Cowtown Cannons Loss 6-13 -44.42 80 8.1% Counts (Why) Sep 26th South Central Club Mens Regional Championship 2021
91 Riverside Loss 12-13 1.5 76 8.1% Counts Sep 26th South Central Club Mens Regional Championship 2021
48 ISO Atmo Loss 10-13 6.17 73 8.1% Counts Sep 26th South Central Club Mens Regional Championship 2021
**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.