#19 Underground (20-15)

avg: 1661.27  •  sd: 60.71  •  top 16/20: 16.9%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
26 Sneaky House Hippos Win 10-7 1811.4 Jun 22nd Eugene Summer Solstice 2019
3 Seattle Riot Loss 8-10 2083.05 Jun 22nd Eugene Summer Solstice 2019
8 Schwa Loss 5-10 1422.54 Jun 22nd Eugene Summer Solstice 2019
32 FAB Win 8-6 1592.39 Jun 22nd Eugene Summer Solstice 2019
9 Traffic Win 10-9 2088.67 Jun 23rd Eugene Summer Solstice 2019
47 Korra Win 9-7 1314.37 Jun 23rd Eugene Summer Solstice 2019
3 Seattle Riot** Loss 4-13 1745.71 Ignored Jun 23rd Eugene Summer Solstice 2019
10 Nightlock Loss 5-9 1428.58 Jun 23rd Eugene Summer Solstice 2019
23 Tabby Rosa Win 13-6 2095.62 Jul 27th TCT Select Flight Invite East 2019
54 Dish** Win 13-5 1501.33 Ignored Jul 27th TCT Select Flight Invite East 2019
21 BENT Win 13-10 1914.11 Jul 27th TCT Select Flight Invite East 2019
25 Salty Win 13-8 1955.56 Jul 28th TCT Select Flight Invite East 2019
29 Virginia Rebellion Win 11-10 1511.08 Jul 28th TCT Select Flight Invite East 2019
13 Rival Loss 10-12 1596.95 Jul 28th TCT Select Flight Invite East 2019
27 Wicked Win 12-10 1639.44 Aug 17th TCT Elite Select Challenge 2019
21 BENT Loss 10-15 1132.36 Aug 17th TCT Elite Select Challenge 2019
13 Rival Loss 9-13 1416.51 Aug 17th TCT Elite Select Challenge 2019
24 Elevate Win 8-7 1589.37 Aug 18th TCT Elite Select Challenge 2019
11 Wildfire Loss 7-8 1742 Aug 18th TCT Elite Select Challenge 2019
15 Ozone Loss 3-13 1126.66 Aug 18th TCT Elite Select Challenge 2019
17 Showdown Win 10-9 1805.21 Aug 18th TCT Elite Select Challenge 2019
9 Traffic Loss 9-13 1545.1 Sep 7th Washington Womens Club Sectional Championship 2019
75 Koi** Win 13-3 1153.67 Ignored Sep 7th Washington Womens Club Sectional Championship 2019
87 Sizzle** Win 13-0 866.82 Ignored Sep 7th Washington Womens Club Sectional Championship 2019
26 Sneaky House Hippos Win 10-6 1917.89 Sep 7th Washington Womens Club Sectional Championship 2019
59 Portland Ivy** Win 13-2 1423.66 Ignored Sep 8th Washington Womens Club Sectional Championship 2019
36 Seattle Soul Win 13-4 1828.88 Sep 8th Washington Womens Club Sectional Championship 2019
9 Traffic Loss 12-13 1838.67 Sep 21st Northwest Club Womens Regional Championship 2019
3 Seattle Riot Loss 7-13 1788.18 Sep 21st Northwest Club Womens Regional Championship 2019
26 Sneaky House Hippos Win 13-10 1749.88 Sep 21st Northwest Club Womens Regional Championship 2019
24 Elevate Loss 11-13 1235.53 Sep 21st Northwest Club Womens Regional Championship 2019
36 Seattle Soul Win 13-5 1828.88 Sep 22nd Northwest Club Womens Regional Championship 2019
8 Schwa Loss 4-9 1396.44 Sep 22nd Northwest Club Womens Regional Championship 2019
24 Elevate Win 13-8 1960.53 Sep 22nd Northwest Club Womens Regional Championship 2019
8 Schwa Loss 8-13 1500.28 Sep 22nd Northwest Club Womens Regional Championship 2019
**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)