#16 Iris (10-2)

avg: 1751.91  •  sd: 69  •  top 16/20: 50.9%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
4 Brute Squad Loss 3-15 1743.67 Jun 1st New York Warmup Womens Sanctioned Games 2019
39 Stella Win 13-8 1708.06 Jun 1st New York Warmup Womens Sanctioned Games 2019
66 Hot Metal** Win 14-5 1319.64 Ignored Jun 2nd New York Warmup Womens Sanctioned Games 2019
41 Vice Win 15-4 1775.88 Jun 22nd Boston Invite 2019
19 BENT Win 14-13 1818.55 Jun 22nd Boston Invite 2019
66 Hot Metal** Win 13-2 1319.64 Ignored Jun 22nd Boston Invite 2019
44 Tempest** Win 13-4 1744.27 Ignored Jun 22nd Boston Invite 2019
54 Venus** Win 15-4 1556.73 Ignored Jun 23rd Boston Invite 2019
42 Frolic Win 15-6 1764.85 Jun 23rd Boston Invite 2019
11 Siege Loss 12-14 1692.73 Jun 23rd Boston Invite 2019
- V-SQUAD** Win 15-1 1665.03 Ignored Sep 7th West New England Womens Club Sectional Championship 2019
71 PLOW** Win 15-4 1246.46 Ignored Sep 7th West 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)