#326 Western Washington University-B (6-16)

avg: 581.73  •  sd: 75.31  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
3 Oregon** Loss 2-15 1588.99 Ignored Jan 26th Flat Tail Open 2019 Mens
162 Washington State Loss 2-15 509.49 Jan 26th Flat Tail Open 2019 Mens
383 Washington-C Win 15-14 428.69 Jan 26th Flat Tail Open 2019 Mens
402 Oregon State-B Win 15-9 718.48 Jan 27th Flat Tail Open 2019 Mens
312 Portland State Loss 6-15 13.97 Jan 27th Flat Tail Open 2019 Mens
241 Washington-B Loss 8-15 323.67 Jan 27th Flat Tail Open 2019 Mens
399 Seattle Win 11-10 353.07 Mar 2nd 19th Annual PLU BBQ Open
291 Pacific Lutheran Loss 8-12 262.22 Mar 2nd 19th Annual PLU BBQ Open
99 Lewis & Clark Loss 6-13 758.77 Mar 2nd 19th Annual PLU BBQ Open
192 Gonzaga Loss 7-12 502.03 Mar 2nd 19th Annual PLU BBQ Open
399 Seattle Win 12-8 669.22 Mar 3rd 19th Annual PLU BBQ Open
312 Portland State Win 14-8 1150 Mar 9th Palouse Open 2019
305 Boise State Win 11-7 1109.22 Mar 9th Palouse Open 2019
168 Whitworth Loss 11-13 858.39 Mar 9th Palouse Open 2019
59 Oregon State Loss 9-15 1046.71 Mar 10th Palouse Open 2019
162 Washington State Loss 9-15 594.01 Mar 10th Palouse Open 2019
291 Pacific Lutheran Loss 11-13 474.53 Mar 30th 2019 NW Challenge Tier 2 3
121 Puget Sound** Loss 4-13 681.02 Ignored Mar 30th 2019 NW Challenge Tier 2 3
99 Lewis & Clark** Loss 4-13 758.77 Ignored Mar 30th 2019 NW Challenge Tier 2 3
192 Gonzaga Loss 7-13 465.01 Mar 30th 2019 NW Challenge Tier 2 3
291 Pacific Lutheran Loss 10-15 249.77 Mar 31st 2019 NW Challenge Tier 2 3
280 Idaho Loss 10-13 426.09 Mar 31st 2019 NW Challenge Tier 2 3
**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)