#9 Schwa (19-18)

avg: 1837.97  •  sd: 56.55  •  top 16/20: 58.7%

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# Opponent Result Game Rating Status Date Event
26 Elevate Win 10-7 1790.77 Jun 23rd Eugene Summer Solstice 40
2 Fury Loss 5-13 1760.71 Jun 23rd Eugene Summer Solstice 40
- Fusion Win 13-6 2153.52 Jun 23rd Eugene Summer Solstice 40
4 Seattle Riot Loss 9-12 1918.41 Jun 23rd Eugene Summer Solstice 40
20 Underground Win 9-8 1768.54 Jun 24th Eugene Summer Solstice 40
2 Fury Loss 9-13 1942.14 Jun 24th Eugene Summer Solstice 40
36 Seattle Soul Win 13-6 1702.2 Jun 24th Eugene Summer Solstice 40
8 Nightlock Loss 7-10 1530.73 Jun 24th Eugene Summer Solstice 40
12 Traffic Loss 10-12 1530.95 Jul 7th TCT Pro Elite Challenge 2018
18 Phoenix Loss 11-13 1468.83 Jul 7th TCT Pro Elite Challenge 2018
19 Pop Win 13-6 2279.32 Jul 7th TCT Pro Elite Challenge 2018
15 Wildfire Loss 8-11 1357.74 Jul 8th TCT Pro Elite Challenge 2018
11 Rival Loss 9-13 1385.62 Jul 8th TCT Pro Elite Challenge 2018
22 BENT Win 13-5 2179.71 Jul 8th TCT Pro Elite Challenge 2018
20 Underground Loss 10-11 1518.54 Aug 18th TCT Elite Select Challenge 2018
17 Grit Loss 9-12 1376.66 Aug 18th TCT Elite Select Challenge 2018
10 Nemesis Win 13-9 2243.05 Aug 18th TCT Elite Select Challenge 2018
31 Indy Rogue** Win 13-4 1803.99 Ignored Aug 19th TCT Elite Select Challenge 2018
25 Colorado Small Batch Win 12-11 1572.1 Aug 19th TCT Elite Select Challenge 2018
20 Underground Win 15-13 1857.72 Aug 25th Bay Area Invite 2018
2 Fury Loss 6-15 1760.71 Aug 25th Bay Area Invite 2018
8 Nightlock Loss 11-13 1691.55 Aug 25th Bay Area Invite 2018
23 LOL Loss 11-14 1196.88 Aug 26th Bay Area Invite 2018
4 Seattle Riot Loss 5-15 1663.78 Aug 26th Bay Area Invite 2018
3 Molly Brown Loss 10-14 1874.87 Aug 26th Bay Area Invite 2018
12 Traffic Win 13-8 2265.23 Sep 22nd Northwest Womens Regional Championship 2018
26 Elevate Win 13-6 2001.11 Sep 22nd Northwest Womens Regional Championship 2018
48 Portland Ivy** Win 13-2 1432.97 Ignored Sep 22nd Northwest Womens Regional Championship 2018
26 Elevate Win 13-5 2001.11 Sep 23rd Northwest Womens Regional Championship 2018
4 Seattle Riot Loss 7-13 1706.24 Sep 23rd Northwest Womens Regional Championship 2018
16 Heist Win 15-12 2022.57 Oct 18th USA Ultimate National Championships 2018
8 Nightlock Win 12-11 2045.39 Oct 18th USA Ultimate National Championships 2018
1 Brute Squad Loss 10-15 2009.07 Oct 18th USA Ultimate National Championships 2018
15 Wildfire Loss 14-15 1598.35 Oct 19th USA Ultimate National Championships 2018
18 Phoenix Win 12-9 2043.04 Oct 19th USA Ultimate National Championships 2018
10 Nemesis Win 15-13 2038.66 Oct 19th USA Ultimate National Championships 2018
7 Ozone Win 15-14 2061.53 Oct 20th USA Ultimate National Championships 2018
**Blowout Eligible

FAQ

The uncertainty of the mean is equal to the standard deviation of the set of game ratings, divided by the square root of the number of games. We treated a team’s ranking as a normally distributed random variable, with the USAU ranking as the mean and the uncertainty of the ranking as the standard deviation
  1. Calculate uncertainy for USAU ranking averge
  2. Model ranking as a normal distribution around USAU averge with standard deviation equal to uncertainty
  3. Simulate seasons by drawing a rank for each team from their distribution. Note the teams in the top 16 (club) or top 20 (college)
  4. Sum the fractions for each region for how often each of it's teams appeared in the top 16 (club) or top 20 (college)
  5. Subtract one from each fraction for "autobids"
  6. Award remainings bids to the regions with the highest remaining fraction, subtracting one from the fraction each time a bid is awarded
There is an article on Ulitworld written by Scott Dunham and I that gives a little more context (though it probably was the thing that linked you here)