() #165 War Machine (1-24)

103.5 (29)

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# Opponent Result Effect % of Ranking Status Date Event
66 Bullet** Loss 2-13 0 0% Ignored Jun 16th ATL Classic 2018
44 El Niño** Loss 4-13 0 0% Ignored Jun 16th ATL Classic 2018
102 H.O.G. Ultimate Loss 7-13 8.44 4.83% Jun 16th ATL Classic 2018
145 Rampage Loss 8-13 -8.31 4.83% Jun 16th ATL Classic 2018
71 UpRoar Loss 9-12 29.13 4.83% Jun 17th ATL Classic 2018
114 Cockfight Loss 5-11 2.78 4.43% Jun 17th ATL Classic 2018
145 Rampage Loss 7-11 -6.63 4.7% Jun 17th ATL Classic 2018
160 Duel Win 12-11 14.8 5.66% Jul 7th Huckfest 2018
- Austin Amigos Loss 5-11 -19.81 5.2% Jul 7th Huckfest 2018
145 Rampage Loss 3-13 -16.07 5.66% Jul 7th Huckfest 2018
- Nashvillians Loss 3-4 5.09 3.44% Jul 7th Huckfest 2018
160 Duel Loss 10-13 -12.41 5.66% Jul 8th Huckfest 2018
145 Rampage Loss 8-13 -9.84 5.66% Jul 8th Huckfest 2018
97 Rush Hour** Loss 3-13 0 0% Ignored Jul 21st Club Terminus 2018
15 Chain Lightning** Loss 1-13 0 0% Ignored Jul 21st Club Terminus 2018
104 Black Lung Loss 6-13 7.08 6.3% Jul 21st Club Terminus 2018
107 BaNC Loss 6-13 4.85 6.3% Jul 22nd Club Terminus 2018
101 Memphis Belle** Loss 2-13 0 0% Ignored Jul 22nd Club Terminus 2018
133 Holy City Heathens Loss 4-11 -5.96 5.78% Jul 22nd Club Terminus 2018
101 Memphis Belle Loss 7-13 17.01 9.15% Sep 8th Gulf Coast Mens Sectional Championship 2018
98 Southern Hospitality Loss 6-13 14.66 9.15% Sep 8th Gulf Coast Mens Sectional Championship 2018
145 Rampage Loss 5-11 -24.54 8.4% Sep 8th Gulf Coast Mens Sectional Championship 2018
55 Ironmen** Loss 4-13 0 0% Ignored Sep 8th Gulf Coast Mens Sectional Championship 2018
115 Rougaroux** Loss 4-13 0 0% Ignored Sep 9th Gulf Coast Mens Sectional Championship 2018
106 Battleship** Loss 4-13 0 0% Ignored 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.