#22 Western Washington (9-4)

avg: 1706.65  •  sd: 51.54  •  top 16/20: 13.7%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
41 Santa Clara Loss 8-9 1429.48 Jan 25th Santa Barbara Invite 2020
7 Colorado State University Loss 12-13 1832.37 Jan 25th Santa Barbara Invite 2020
24 California-Santa Barbara Win 12-11 1791.89 Jan 25th Santa Barbara Invite 2020
2 Washington** Loss 3-13 1731.44 Ignored Jan 25th Santa Barbara Invite 2020
49 Case Western Reserve Win 11-8 1784.82 Jan 26th Santa Barbara Invite 2020
69 Victoria Win 13-6 1918.81 Jan 26th Santa Barbara Invite 2020
68 Nevada-Reno Win 10-7 1713.89 Feb 8th Stanford Open 2020
38 Arizona Win 10-6 2059.25 Feb 8th Stanford Open 2020
70 Humboldt State Win 11-9 1560.79 Feb 8th Stanford Open 2020
- California-B** Win 13-2 1470.67 Ignored Feb 8th Stanford Open 2020
106 Chico State** Win 8-3 1677.79 Ignored Feb 9th Stanford Open 2020
58 Claremont Win 9-8 1495.46 Feb 9th Stanford Open 2020
30 California-Santa Cruz Loss 7-8 1481.84 Feb 9th Stanford Open 2020
**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)