(1) #135 Helots (8-16)

590.21 (54)

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# Opponent Result Effect % of Ranking Status Date Event
87 Westchester Magma Bears Loss 6-9 -2.31 4.27% Aug 5th Philly Open 2017
104 Slag Dump Loss 8-13 -8.94 4.27% Aug 5th Philly Open 2017
119 Somerville BAG Loss 10-13 -7.73 4.27% Aug 5th Philly Open 2017
72 Shade Loss 7-9 7.85 4.27% Aug 5th Philly Open 2017
- Marxmen** Win 15-3 0 0% Ignored Aug 6th Philly Open 2017
149 Club M - Magma Win 15-7 20.71 4.5% Aug 12th Nuccis Cup 2017
143 Garden Party Win 13-12 2.69 4.5% Aug 12th Nuccis Cup 2017
96 Adelphos Win 15-13 25.89 4.5% Aug 12th Nuccis Cup 2017
146 AK Pipeline Win 14-12 5.85 4.5% Aug 12th Nuccis Cup 2017
107 Watchdogs Loss 11-15 -5.65 4.5% Aug 13th Nuccis Cup 2017
107 Watchdogs Loss 10-15 -9.06 4.5% Aug 13th Nuccis Cup 2017
62 Bruises Loss 7-15 -2.45 4.5% Aug 13th Nuccis Cup 2017
- Path of Totality Loss 12-13 -22.12 5.57% Sep 9th 2017 Founders Mens Sectionals
27 Garden State Ultimate Loss 7-13 20.7 5.57% Sep 9th 2017 Founders Mens Sectionals
96 Adelphos Loss 7-13 -13.13 5.57% Sep 9th 2017 Founders Mens Sectionals
145 Bear Proof Win 13-8 24.42 5.57% Sep 9th 2017 Founders Mens Sectionals
145 Bear Proof Win 14-12 8.18 5.57% Sep 10th 2017 Founders Mens Sectionals
83 JAWN Loss 7-13 -8.98 5.57% Sep 10th 2017 Founders Mens Sectionals
- Science Leadership Academy Win 13-2 0.36 5.57% Sep 10th 2017 Founders Mens Sectionals
44 CITYWIDE Special** Loss 5-13 0 0% Ignored Sep 10th 2017 Founders Mens Sectionals
31 Richmond Floodwall** Loss 2-13 0 0% Ignored Sep 23rd Mid Atlantic Mens Regionals 2017
27 Garden State Ultimate** Loss 4-13 0 0% Ignored Sep 23rd Mid Atlantic Mens Regionals 2017
96 Adelphos Loss 6-13 -17.52 6.2% Sep 23rd Mid Atlantic Mens Regionals 2017
118 Shockoe Slip Flatball Club Loss 10-15 -19.38 6.2% Sep 24th Mid Atlantic Mens Regionals 2017
**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.