() #145 Rampage (7-19)

435.85 (29)

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# Opponent Result Effect % of Ranking Status Date Event
44 El Niño Loss 8-13 9.72 3.01% Jun 16th ATL Classic 2018
71 UpRoar Loss 8-13 2.83 3.01% Jun 16th ATL Classic 2018
165 War Machine Win 13-8 5.09 3.01% Jun 16th ATL Classic 2018
102 H.O.G. Ultimate Loss 10-12 4.77 3.01% Jun 16th ATL Classic 2018
107 BaNC Loss 7-13 -6.76 3.01% Jun 17th ATL Classic 2018
66 Bullet** Loss 2-13 0 0% Ignored Jun 17th ATL Classic 2018
165 War Machine Win 11-7 4.06 2.93% Jun 17th ATL Classic 2018
71 UpRoar Loss 5-7 7.49 2.81% Jul 7th Huckfest 2018
165 War Machine Win 13-3 9.81 3.53% Jul 7th Huckfest 2018
- Nashvillians Win 11-9 6.77 3.53% Jul 7th Huckfest 2018
102 H.O.G. Ultimate Loss 6-13 -7.63 3.53% Jul 7th Huckfest 2018
165 War Machine Win 13-8 6 3.53% Jul 8th Huckfest 2018
- Austin Amigos Loss 9-10 -8.01 3.53% Jul 8th Huckfest 2018
- Nashvillians Loss 8-12 -18.52 3.53% Jul 8th Huckfest 2018
160 Duel Loss 9-13 -32.2 4.87% Aug 18th Trestlemania III
71 UpRoar Loss 8-13 4.67 4.87% Aug 18th Trestlemania III
41 Coastal Empire** Loss 2-13 0 0% Ignored Aug 18th Trestlemania III
102 H.O.G. Ultimate Loss 7-13 -8.49 4.87% Aug 18th Trestlemania III
106 Battleship Loss 13-14 11.1 4.87% Aug 19th Trestlemania III
160 Duel Win 13-6 19.91 4.87% Aug 19th Trestlemania III
115 Rougaroux Loss 6-13 -17.05 5.71% Sep 8th Gulf Coast Mens Sectional Championship 2018
106 Battleship Loss 4-13 -15.63 5.71% Sep 8th Gulf Coast Mens Sectional Championship 2018
165 War Machine Win 11-5 14.81 5.24% Sep 8th Gulf Coast Mens Sectional Championship 2018
55 Ironmen Loss 6-13 7.05 5.71% Sep 8th Gulf Coast Mens Sectional Championship 2018
98 Southern Hospitality Loss 6-12 -9.78 5.56% Sep 9th Gulf Coast Mens Sectional Championship 2018
101 Memphis Belle Loss 10-12 9.44 5.71% 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.