() #4 Truck Stop (18-5) MA 1

1951.22 (66)

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# Opponent Result Effect % of Ranking Status Date Event
21 Furious George Win 13-5 9.8 3.53% Jul 8th TCT Pro Elite Challenge 2017
20 Chain Lightning Win 13-11 -3.74 3.53% Jul 8th TCT Pro Elite Challenge 2017
2 Sockeye Win 13-11 13.12 3.53% Jul 8th TCT Pro Elite Challenge 2017
1 Revolver Loss 7-13 -13.47 3.53% Jul 9th TCT Pro Elite Challenge 2017
7 HIGH FIVE Win 14-12 6 3.53% Jul 9th TCT Pro Elite Challenge 2017
5 Ironside Win 14-13 4.31 3.53% Jul 9th TCT Pro Elite Challenge 2017
15 Patrol Win 13-11 2.65 4.37% Aug 4th 2017 US Open Club Championships
6 Johnny Bravo Loss 13-15 -12.29 4.37% Aug 4th 2017 US Open Club Championships
5 Ironside Win 15-12 13.41 4.37% Aug 4th 2017 US Open Club Championships
2 Sockeye Loss 10-15 -14.83 4.37% Aug 5th 2017 US Open Club Championships
6 Johnny Bravo Win 15-10 18.25 4.37% Aug 6th 2017 US Open Club Championships
23 Pittsburgh Temper Win 13-10 -2.52 5.41% Sep 2nd New York Invite 2017
13 PoNY Win 14-13 -1.14 5.41% Sep 2nd New York Invite 2017
17 Madison Club Win 13-11 -3.61 5.41% Sep 2nd New York Invite 2017
5 Ironside Loss 10-12 -14.04 5.41% Sep 2nd New York Invite 2017
10 GOAT Win 15-14 2.18 5.41% Sep 3rd New York Invite 2017
5 Ironside Win 14-11 17.51 5.41% Sep 3rd New York Invite 2017
3 Ring of Fire Loss 14-15 -5.38 5.41% Sep 3rd New York Invite 2017
104 Slag Dump** Win 13-1 0 0% Ignored Sep 23rd Mid Atlantic Mens Regionals 2017
118 Shockoe Slip Flatball Club** Win 13-3 0 0% Ignored Sep 23rd Mid Atlantic Mens Regionals 2017
53 John Doe Win 13-8 -15.96 6.35% Sep 23rd Mid Atlantic Mens Regionals 2017
27 Garden State Ultimate Win 15-2 9.99 6.35% Sep 23rd Mid Atlantic Mens Regionals 2017
23 Pittsburgh Temper Win 15-13 -10.71 6.35% Sep 24th Mid Atlantic 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.