#24 Western Washington (12-9)

avg: 1742.07  •  sd: 58.32  •  top 16/20: 11.9%

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# Opponent Result Game Rating Status Date Event
146 Nevada-Reno Win 13-7 1706.83 Jan 27th Santa Barbara Invitational 2018
18 Brigham Young Win 13-10 2181.53 Jan 27th Santa Barbara Invitational 2018
79 California-Davis Loss 10-13 1086.49 Jan 27th Santa Barbara Invitational 2018
143 California-San Diego Win 13-8 1657.08 Jan 27th Santa Barbara Invitational 2018
20 Cal Poly-SLO Win 10-9 1968.12 Jan 28th Santa Barbara Invitational 2018
17 Colorado State Loss 10-13 1541.61 Jan 28th Santa Barbara Invitational 2018
67 Utah Win 13-5 2057.97 Jan 28th Santa Barbara Invitational 2018
38 Southern California Loss 12-13 1508.89 Feb 17th Presidents Day Invitational Tournament 2018
32 California Win 13-10 2023.94 Feb 17th Presidents Day Invitational Tournament 2018
211 Utah State** Win 15-6 1507.84 Ignored Feb 17th Presidents Day Invitational Tournament 2018
44 Illinois Win 13-10 1917.17 Feb 18th Presidents Day Invitational Tournament 2018
3 Oregon Loss 7-12 1668.26 Feb 18th Presidents Day Invitational Tournament 2018
5 Washington Loss 7-11 1584.51 Feb 18th Presidents Day Invitational Tournament 2018
55 Oregon State Win 12-9 1863.54 Feb 19th Presidents Day Invitational Tournament 2018
38 Southern California Win 10-9 1758.89 Feb 19th Presidents Day Invitational Tournament 2018
18 Brigham Young Loss 11-14 1540.05 Mar 23rd NW Challenge 2018
15 Stanford Loss 8-15 1320.82 Mar 23rd NW Challenge 2018
19 Colorado Loss 11-13 1622.11 Mar 24th NW Challenge 2018
63 Tulane Win 13-6 2063.68 Mar 24th NW Challenge 2018
25 Victoria Loss 9-10 1606.74 Mar 24th NW Challenge 2018
43 British Columbia Win 15-6 2194.64 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)