(4) #136 Low Five (8-18)

586.55 (88)

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# Opponent Result Effect % of Ranking Status Date Event
90 The Roofing Co. Loss 10-13 1.01 3.08% Jun 24th SCINNY 2017
- Cincinnati Flying Piglet** Win 13-0 0 0% Ignored Jun 24th SCINNY 2017
140 Blade Win 13-9 11.89 3.08% Jun 24th SCINNY 2017
110 Chimney Loss 7-12 -8.43 3.08% Jun 24th SCINNY 2017
- Black Market Y Win 13-9 3.27 3.08% Jun 25th SCINNY 2017
49 MKE Loss 7-13 3.82 3.43% Jul 8th MoTown Throwdown 2017
110 Chimney Loss 8-13 -8.55 3.43% Jul 8th MoTown Throwdown 2017
- Impulse Loss 11-12 -0.21 3.43% Jul 8th MoTown Throwdown 2017
74 Schweingeist Loss 10-15 -0.32 3.43% Jul 8th MoTown Throwdown 2017
67 Four Loss 7-15 -3.43 3.43% Jul 9th MoTown Throwdown 2017
104 Slag Dump Win 8-6 21.29 3.43% Jul 9th MoTown Throwdown 2017
146 AK Pipeline Win 15-11 10.22 3.43% Jul 9th MoTown Throwdown 2017
93 Black Lung Loss 6-13 -13.06 4.98% Aug 26th Indy Invite Club 2017
60 Kentucky Flying Circus Loss 2-13 -1.99 4.98% Aug 26th Indy Invite Club 2017
76 Enigma Loss 5-13 -8.66 4.98% Aug 26th Indy Invite Club 2017
28 Brickyard** Loss 4-13 0 0% Ignored Aug 26th Indy Invite Club 2017
90 The Roofing Co. Loss 6-15 -12.59 4.98% Aug 27th Indy Invite Club 2017
139 Solar Eclipse Loss 11-13 -14.18 4.98% Aug 27th Indy Invite Club 2017
110 Chimney Loss 7-11 -12.4 5.54% Sep 9th 2017 East Plains Mens Sectionals
86 Mango Tree Loss 3-11 -13.07 5.54% Sep 9th 2017 East Plains Mens Sectionals
- The Boys** Win 11-4 0 0% Ignored Sep 9th 2017 East Plains Mens Sectionals
152 Dirty D Win 11-4 24.11 5.54% Sep 9th 2017 East Plains Mens Sectionals
74 Schweingeist Loss 8-11 4.63 5.54% Sep 10th 2017 East Plains Mens Sectionals
60 Kentucky Flying Circus Loss 10-12 19 5.54% Sep 10th 2017 East Plains Mens Sectionals
138 Midnight Meat Train Win 13-11 11.96 5.54% Sep 10th 2017 East Plains Mens Sectionals
93 Black Lung Loss 5-13 -14.61 5.54% Sep 10th 2017 East Plains 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.