(4) #137 H.O.G. Ultimate (5-22)

578.22 (68)

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# Opponent Result Effect % of Ranking Status Date Event
45 Ironmen Loss 8-13 6.45 2.7% Jun 17th ATL Classic 2017
100 Chattanooga Gentlemen's Club Loss 8-13 -4.89 2.7% Jun 17th ATL Classic 2017
58 Bullet Loss 4-13 -0.56 2.7% Jun 17th ATL Classic 2017
108 Holy City Heathens Loss 3-13 -9.25 2.7% Jun 17th ATL Classic 2017
115 War Machine Loss 8-11 -4.72 2.7% Jun 18th ATL Classic 2017
92 BaNC Loss 8-13 -3.78 2.7% Jun 18th ATL Classic 2017
82 Rush Hour Loss 9-10 8.18 2.7% Jun 18th ATL Classic 2017
11 Florida United** Loss 4-13 0 0% Ignored Jul 22nd Club Terminus 2017
60 Kentucky Flying Circus Loss 3-13 -1.08 3.53% Jul 22nd Club Terminus 2017
94 Cerberus Win 9-8 17.65 3.53% Jul 22nd Club Terminus 2017
- ATLiens Loss 12-13 8.63 3.53% Jul 22nd Club Terminus 2017
115 War Machine Loss 10-12 -1.56 3.53% Jul 23rd Club Terminus 2017
151 Shrimp Boat Win 12-9 6.43 3.53% Jul 23rd Club Terminus 2017
82 Rush Hour Loss 5-13 -6.61 3.53% Jul 23rd Club Terminus 2017
95 Omen Win 13-12 19.35 3.93% Aug 5th Trestlemania 2017
- Coastal Empire Loss 10-12 0.26 3.93% Aug 5th Trestlemania 2017
94 Cerberus Loss 10-15 -3.92 3.93% Aug 5th Trestlemania 2017
167 Hammerhead Win 15-6 6.03 3.93% Aug 5th Trestlemania 2017
95 Omen Loss 8-15 -8.83 3.93% Aug 6th Trestlemania 2017
122 UpRoar Loss 11-14 -6.45 3.93% Aug 6th Trestlemania 2017
- CerB WerB-B Win 15-12 0.49 3.93% Aug 6th Trestlemania 2017
140 Blade Loss 11-13 -15.14 5.41% Sep 16th 2017 East Coast Mens Sectionals
46 Lost Boys Loss 6-13 7.17 5.41% Sep 16th 2017 East Coast Mens Sectionals
108 Holy City Heathens Loss 12-13 8.11 5.41% Sep 16th 2017 East Coast Mens Sectionals
82 Rush Hour Loss 6-13 -10.32 5.41% Sep 16th 2017 East Coast Mens Sectionals
94 Cerberus Loss 10-13 1.69 5.41% Sep 17th 2017 East Coast Mens Sectionals
100 Chattanooga Gentlemen's Club Loss 7-13 -13.56 5.41% Sep 17th 2017 East Coast Mens Sectionals
**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.