#24 Salty (13-8)

avg: 1463.7  •  sd: 70.03  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
42 Frolic Loss 8-11 799.24 Jun 22nd Boston Invite 2019
11 Siege Loss 6-15 1313.69 Jun 22nd Boston Invite 2019
40 Pine Baroness Win 13-8 1705.2 Jun 22nd Boston Invite 2019
37 Vintage Win 13-4 1816.25 Jun 22nd Boston Invite 2019
44 Tempest Win 14-9 1618.14 Jun 23rd Boston Invite 2019
52 TOX6ix Win 14-9 1452.07 Jun 23rd Boston Invite 2019
37 Vintage Win 8-6 1516.74 Jun 23rd Boston Invite 2019
26 Virginia Rebellion Win 13-12 1572.7 Jul 27th TCT Select Flight Invite East 2019
46 Indy Rogue Win 12-11 1225.16 Jul 27th TCT Select Flight Invite East 2019
39 Stella Win 13-9 1630.47 Jul 27th TCT Select Flight Invite East 2019
12 Rival Loss 4-13 1313.04 Jul 27th TCT Select Flight Invite East 2019
18 Underground Loss 8-13 1200.32 Jul 28th TCT Select Flight Invite East 2019
19 BENT Loss 6-13 1093.55 Jul 28th TCT Select Flight Invite East 2019
22 Tabby Rosa Loss 8-13 1061.53 Jul 28th TCT Select Flight Invite East 2019
79 Versa** Win 13-3 991.03 Ignored Sep 7th East New England Womens Club Sectional Championship 2019
42 Frolic Win 13-6 1764.85 Sep 7th East New England Womens Club Sectional Championship 2019
92 HOPE** Win 13-2 771.34 Ignored Sep 7th East New England Womens Club Sectional Championship 2019
11 Siege Loss 2-13 1313.69 Sep 7th East New England Womens Club Sectional Championship 2019
41 Vice Win 9-5 1704.94 Sep 8th East New England Womens Club Sectional Championship 2019
42 Frolic Win 12-6 1744.16 Sep 8th East New England Womens Club Sectional Championship 2019
11 Siege Loss 11-13 1684.85 Sep 8th East New England Womens Club Sectional 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)