#9 Schwa (24-5)

avg: 2101.71  •  sd: 81.1  •  top 16/20: 100%

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# Opponent Result Game Rating Status Date Event
38 FAB** Win 13-0 1719.26 Ignored Jun 24th Summer Solstice 2023
36 remix** Win 13-3 1766.72 Ignored Jun 24th Summer Solstice 2023
84 Seattle Soul** Win 13-1 869.19 Ignored Jun 24th Summer Solstice 2023
28 Oregon Downpour** Win 13-4 2008.63 Ignored Jun 24th Summer Solstice 2023
27 Underground** Win 13-5 2025.92 Ignored Jun 25th Summer Solstice 2023
33 Seattle END** Win 13-3 1874.73 Ignored Jun 25th Summer Solstice 2023
25 Colorado Small Batch Win 14-7 2042.36 Jul 8th TCT Pro Elite Challenge West 2023
6 Flipside Loss 9-13 1849.06 Jul 8th TCT Pro Elite Challenge West 2023
3 Fury Loss 7-15 1854.65 Jul 8th TCT Pro Elite Challenge West 2023
77 Portland Rain Check** Win 15-1 1010.41 Ignored Jul 8th TCT Pro Elite Challenge West 2023
25 Colorado Small Batch** Win 14-5 2059.47 Ignored Jul 9th TCT Pro Elite Challenge West 2023
13 Nightlock Loss 11-12 1706.52 Jul 9th TCT Pro Elite Challenge West 2023
4 Molly Brown Loss 8-15 1769.22 Aug 4th 2023 US Open Club Championships ICC
13 Nightlock Win 15-8 2396.33 Aug 4th 2023 US Open Club Championships ICC
13 Nightlock Win 15-6 2431.52 Aug 5th 2023 US Open Club Championships ICC
10 Traffic Win 14-11 2414.39 Aug 6th 2023 US Open Club Championships ICC
23 Flight Win 15-11 1920.57 Aug 19th TCT Elite Select Challenge 2023
17 Ozone Win 15-5 2286.4 Aug 19th TCT Elite Select Challenge 2023
54 Stellar** Win 15-2 1476.94 Ignored Aug 19th TCT Elite Select Challenge 2023
12 Nemesis Win 15-10 2385.07 Aug 20th TCT Elite Select Challenge 2023
14 Parcha Win 12-9 2171.03 Aug 20th TCT Elite Select Challenge 2023
11 Seattle Riot Win 15-6 2584.62 Aug 20th TCT Elite Select Challenge 2023
19 Dark Sky Win 13-7 2138.77 Sep 23rd 2023 Northwest Womens Regional Championship
50 Drift** Win 13-0 1514.94 Ignored Sep 23rd 2023 Northwest Womens Regional Championship
77 Portland Rain Check** Win 13-1 1010.41 Ignored Sep 23rd 2023 Northwest Womens Regional Championship
33 Seattle END** Win 13-4 1874.73 Ignored Sep 23rd 2023 Northwest Womens Regional Championship
19 Dark Sky Win 15-3 2181.24 Sep 24th 2023 Northwest Womens Regional Championship
11 Seattle Riot Loss 12-15 1684.13 Sep 24th 2023 Northwest Womens Regional Championship
33 Seattle END Win 15-7 1874.73 Sep 24th 2023 Northwest Womens Regional Championship
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)