(3) #26 Cash Crop (17-7)

1500 (51)

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# Opponent Result Effect % of Ranking Status Date Event
58 Bullet Win 10-9 -7.37 3.28% Jul 22nd Club Terminus 2017
100 Chattanooga Gentlemen's Club Win 13-6 -0.05 3.28% Jul 22nd Club Terminus 2017
- ATLiens Win 13-7 -0.11 3.28% Jul 22nd Club Terminus 2017
11 Florida United Loss 8-13 -5.06 3.28% Jul 23rd Club Terminus 2017
46 Lost Boys Win 10-9 -2.42 3.28% Jul 23rd Club Terminus 2017
65 Plex Win 13-7 7.03 3.85% Aug 12th Chesapeake Open 2017
31 Richmond Floodwall Loss 10-12 -10.7 3.85% Aug 12th Chesapeake Open 2017
53 John Doe Win 11-9 -1.25 3.85% Aug 12th Chesapeake Open 2017
44 CITYWIDE Special Win 13-9 10.52 3.85% Aug 12th Chesapeake Open 2017
27 Garden State Ultimate Loss 14-15 -5.07 3.85% Aug 13th Chesapeake Open 2017
58 Bullet Win 15-12 -1.67 3.85% Aug 13th Chesapeake Open 2017
- Right Coast Win 13-8 4.7 4.77% Sep 9th 2017 North Carolina Mens Sectionals
37 Turbine Win 12-10 7.94 4.77% Sep 9th 2017 North Carolina Mens Sectionals
- Honey Bashfords** Win 13-4 0 0% Ignored Sep 9th 2017 North Carolina Mens Sectionals
3 Ring of Fire Loss 11-13 12.69 4.77% Sep 9th 2017 North Carolina Mens Sectionals
56 Brickhouse Win 13-7 12.14 4.77% Sep 10th 2017 North Carolina Mens Sectionals
92 BaNC Win 13-9 -7.16 4.77% Sep 10th 2017 North Carolina Mens Sectionals
3 Ring of Fire Loss 8-13 -0.7 4.77% Sep 10th 2017 North Carolina Mens Sectionals
24 Freaks Loss 8-13 -25.18 5.31% Sep 23rd Southeast Mens Regionals 2017
100 Chattanooga Gentlemen's Club Win 13-8 -5.9 5.31% Sep 23rd Southeast Mens Regionals 2017
82 Rush Hour Win 13-6 5.47 5.31% Sep 23rd Southeast Mens Regionals 2017
73 Rougaroux Win 15-6 7.56 5.31% Sep 23rd Southeast Mens Regionals 2017
45 Ironmen Win 15-11 10.53 5.31% Sep 24th Southeast Mens Regionals 2017
20 Chain Lightning Loss 12-14 -5.64 5.31% Sep 24th Southeast Mens Regionals 2017
**Blowout Eligible

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.