#3 Oregon (20-5)

avg: 2188.99  •  sd: 57.22  •  top 16/20: 100%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
121 Puget Sound** Win 15-3 1881.02 Ignored Jan 26th Flat Tail Open 2019 Mens
162 Washington State** Win 15-4 1709.49 Ignored Jan 26th Flat Tail Open 2019 Mens
326 Western Washington University-B** Win 15-2 1181.73 Ignored Jan 26th Flat Tail Open 2019 Mens
59 Oregon State Win 15-8 2127 Jan 27th Flat Tail Open 2019 Mens
58 Whitman Win 15-8 2144.46 Jan 27th Flat Tail Open 2019 Mens
100 California-Santa Cruz** Win 13-3 1958.77 Ignored Feb 16th Presidents Day Invite 2019
34 UCLA Win 13-9 2147.29 Feb 16th Presidents Day Invite 2019
56 California-San Diego Win 12-4 2192.76 Feb 17th Presidents Day Invite 2019
51 Western Washington Win 13-4 2229.76 Feb 17th Presidents Day Invite 2019
16 Southern California Win 10-8 2238.82 Feb 18th Presidents Day Invite 2019
5 Cal Poly-SLO Loss 9-10 2019.46 Feb 18th Presidents Day Invite 2019
6 Brigham Young Loss 14-15 2009.73 Mar 2nd Stanford Invite 2019
21 California Win 13-7 2400.99 Mar 2nd Stanford Invite 2019
49 Northwestern Win 13-8 2133.85 Mar 2nd Stanford Invite 2019
14 Ohio State Win 13-11 2220.91 Mar 2nd Stanford Invite 2019
5 Cal Poly-SLO Loss 12-13 2019.46 Mar 3rd Stanford Invite 2019
8 Colorado Loss 10-11 1970.44 Mar 3rd Stanford Invite 2019
14 Ohio State Win 13-6 2592.06 Mar 3rd Stanford Invite 2019
17 Minnesota Win 13-5 2551.05 Mar 30th Easterns 2019 Men
45 California-Santa Barbara Win 13-8 2159.41 Mar 30th Easterns 2019 Men
9 Massachusetts Win 15-13 2279.68 Mar 30th Easterns 2019 Men
44 Virginia Win 13-8 2167.57 Mar 30th Easterns 2019 Men
4 Pittsburgh Win 14-13 2309.92 Mar 31st Easterns 2019 Men
7 Carleton College-CUT Loss 12-15 1818.15 Mar 31st Easterns 2019 Men
20 Tufts Win 15-12 2164.64 Mar 31st Easterns 2019 Men
**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)