#109 Washington State (11-8)

avg: 1179.1  •  sd: 87.24  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
334 Portland State** Win 15-0 643.89 Ignored Jan 18th Pacific Confrontational Open 2020
351 Central Washington** Win 15-5 485.8 Ignored Jan 18th Pacific Confrontational Open 2020
142 Washington-B Win 13-11 1267.28 Jan 18th Pacific Confrontational Open 2020
74 Montana State Loss 9-12 1016.57 Jan 19th Pacific Confrontational Open 2020
104 Gonzaga Loss 12-13 1077.61 Jan 19th Pacific Confrontational Open 2020
142 Washington-B Loss 12-13 913.44 Jan 19th Pacific Confrontational Open 2020
192 Montana Win 11-5 1466.2 Feb 29th Big Sky Brawl 2020
75 Nevada-Reno Loss 9-11 1111.48 Feb 29th Big Sky Brawl 2020
149 Brigham Young-B Win 11-4 1607.43 Feb 29th Big Sky Brawl 2020
298 Western Washington-B Win 11-5 948.2 Feb 29th Big Sky Brawl 2020
59 Whitman Loss 8-11 1074.51 Feb 29th Big Sky Brawl 2020
74 Montana State Loss 6-9 943.37 Mar 1st Big Sky Brawl 2020
59 Whitman Win 9-5 1969.18 Mar 1st Big Sky Brawl 2020
358 Pacific Lutheran-B** Win 13-1 376.65 Ignored Mar 7th PLU BBQ 2020
174 Seattle Win 12-11 1058.49 Mar 7th PLU BBQ 2020
122 Portland Loss 11-13 900.33 Mar 8th PLU BBQ 2020
334 Portland State** Win 13-0 643.89 Ignored Mar 8th PLU BBQ 2020
76 Puget Sound Loss 9-13 929.14 Mar 8th PLU BBQ 2020
174 Seattle Win 13-8 1429.65 Mar 8th PLU BBQ 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)