#16 Western Washington (11-10)

avg: 2344.39  •  sd: 69.47  •  top 16/20: 91.9%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
61 California-Davis Win 13-3 2417.92 Feb 17th Presidents Day Invitational Tournament 2018
22 Minnesota Loss 10-11 2103.83 Feb 17th Presidents Day Invitational Tournament 2018
11 Texas Loss 4-11 1871.75 Feb 17th Presidents Day Invitational Tournament 2018
17 California-Santa Barbara Win 13-9 2738.83 Feb 17th Presidents Day Invitational Tournament 2018
37 Northwestern Win 9-8 2153.18 Feb 18th Presidents Day Invitational Tournament 2018
105 Chico State** Win 15-1 2079.34 Ignored Feb 18th Presidents Day Invitational Tournament 2018
36 Colorado College Win 12-10 2271.3 Feb 18th Presidents Day Invitational Tournament 2018
55 Iowa State Win 13-4 2446.46 Feb 19th Presidents Day Invitational Tournament 2018
22 Minnesota Loss 7-11 1761.94 Feb 19th Presidents Day Invitational Tournament 2018
13 Ohio State Loss 7-8 2279.92 Mar 3rd Stanford Invite 2018
61 California-Davis Win 13-5 2417.92 Mar 3rd Stanford Invite 2018
4 Stanford Loss 8-9 2570.52 Mar 3rd Stanford Invite 2018
11 Texas Loss 11-12 2346.75 Mar 4th Stanford Invite 2018
9 Colorado Loss 6-13 1899.69 Mar 4th Stanford Invite 2018
19 Vermont Win 14-12 2484.44 Mar 23rd NW Challenge 2018
18 Brigham Young Loss 9-15 1771.03 Mar 23rd NW Challenge 2018
12 Carleton College Win 12-8 2863.12 Mar 24th NW Challenge 2018
6 British Columbia Win 12-10 2798.26 Mar 24th NW Challenge 2018
3 North Carolina Loss 11-15 2349.33 Mar 25th NW Challenge 2018
17 California-Santa Barbara Win 14-10 2718.96 Mar 25th NW Challenge 2018
5 Oregon Loss 11-14 2297.18 Mar 25th NW Challenge 2018
**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)