() #98 Southern Hospitality (12-13)

849.05 (29)

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# Opponent Result Effect % of Ranking Status Date Event
115 Rougaroux Loss 9-10 -7.37 3.25% Jul 7th Huckfest 2018
97 Rush Hour Loss 4-13 -20.08 3.25% Jul 7th Huckfest 2018
61 Tanasi Loss 7-13 -10.43 3.25% Jul 7th Huckfest 2018
- Austin Amigos Win 10-4 2.72 2.84% Jul 7th Huckfest 2018
71 UpRoar Win 10-9 10.05 3.25% Jul 8th Huckfest 2018
23 Freaks** Loss 3-13 0 0% Ignored Jul 8th Huckfest 2018
102 H.O.G. Ultimate Win 12-10 7.27 3.25% Jul 8th Huckfest 2018
107 BaNC Loss 8-12 -19.3 3.61% Jul 21st Club Terminus 2018
41 Coastal Empire Loss 10-13 3.49 3.61% Jul 21st Club Terminus 2018
97 Rush Hour Win 9-7 9.66 3.32% Jul 22nd Club Terminus 2018
23 Freaks Loss 7-13 3.55 3.61% Jul 22nd Club Terminus 2018
55 Ironmen Loss 8-11 -2.34 3.61% Jul 22nd Club Terminus 2018
108 Swamp Horse Loss 9-13 -18.61 3.61% Jul 22nd Club Terminus 2018
97 Rush Hour Win 12-11 6.3 4.72% Aug 25th Rush Hour Round Robin 2018
102 H.O.G. Ultimate Win 12-7 24.71 4.72% Aug 25th Rush Hour Round Robin 2018
133 Holy City Heathens Win 12-9 5.09 4.72% Aug 25th Rush Hour Round Robin 2018
107 BaNC Win 11-8 14.47 4.72% Aug 26th Rush Hour Round Robin 2018
66 Bullet Loss 9-12 -7.57 4.72% Aug 26th Rush Hour Round Robin 2018
34 Lost Boys Loss 9-11 10.45 4.72% Aug 26th Rush Hour Round Robin 2018
115 Rougaroux Win 11-10 1.68 5.25% Sep 8th Gulf Coast Mens Sectional Championship 2018
106 Battleship Loss 10-11 -10.87 5.25% Sep 8th Gulf Coast Mens Sectional Championship 2018
165 War Machine Win 13-6 -8.06 5.25% Sep 8th Gulf Coast Mens Sectional Championship 2018
101 Memphis Belle Win 10-8 13.11 5.11% Sep 8th Gulf Coast Mens Sectional Championship 2018
55 Ironmen Loss 5-13 -16.45 5.25% Sep 9th Gulf Coast Mens Sectional Championship 2018
145 Rampage Win 12-6 8.94 5.11% Sep 9th Gulf Coast Mens Sectional Championship 2018
**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.