#5 Oregon (22-6)

avg: 2610.52  •  sd: 59.56  •  top 16/20: 100%

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# Opponent Result Game Rating Status Date Event
118 Lewis & Clark** Win 13-0 1996.45 Ignored Jan 27th Flat Tail Womens Tournament 2018
147 Humboldt State** Win 13-1 1792.56 Ignored Jan 27th Flat Tail Womens Tournament 2018
67 Puget Sound** Win 12-4 2368.81 Ignored Jan 27th Flat Tail Womens Tournament 2018
113 Portland State** Win 13-2 2030.26 Ignored Jan 27th Flat Tail Womens Tournament 2018
68 Boise State** Win 15-3 2362.64 Ignored Jan 28th Flat Tail Womens Tournament 2018
101 Oregon State** Win 15-4 2105.97 Ignored Jan 28th Flat Tail Womens Tournament 2018
37 Northwestern Win 15-7 2628.18 Feb 17th Presidents Day Invitational Tournament 2018
33 UCLA Win 13-7 2620.22 Feb 17th Presidents Day Invitational Tournament 2018
2 California-San Diego Loss 12-13 2607.82 Feb 17th Presidents Day Invitational Tournament 2018
17 California-Santa Barbara Win 15-6 2920.26 Feb 18th Presidents Day Invitational Tournament 2018
55 Iowa State** Win 15-3 2446.46 Ignored Feb 18th Presidents Day Invitational Tournament 2018
11 Texas Loss 11-12 2346.75 Feb 18th Presidents Day Invitational Tournament 2018
17 California-Santa Barbara Win 11-6 2866.95 Feb 19th Presidents Day Invitational Tournament 2018
26 California Win 14-6 2733.23 Feb 19th Presidents Day Invitational Tournament 2018
14 Whitman Win 13-7 2943.67 Mar 3rd Stanford Invite 2018
9 Colorado Win 12-9 2845.06 Mar 3rd Stanford Invite 2018
10 Pittsburgh Loss 11-13 2252.91 Mar 3rd Stanford Invite 2018
13 Ohio State Win 12-11 2529.92 Mar 4th Stanford Invite 2018
20 Washington Win 13-9 2658.8 Mar 4th Stanford Invite 2018
4 Stanford Win 13-12 2820.52 Mar 4th Stanford Invite 2018
6 British Columbia Loss 14-15 2435.13 Mar 4th Stanford Invite 2018
21 Michigan Win 13-12 2363.43 Mar 23rd NW Challenge 2018
20 Washington Win 15-13 2454.41 Mar 23rd NW Challenge 2018
14 Whitman Win 14-11 2699.47 Mar 24th NW Challenge 2018
1 Dartmouth Loss 6-15 2297.25 Mar 24th NW Challenge 2018
16 Western Washington Win 14-11 2657.72 Mar 25th NW Challenge 2018
2 California-San Diego Loss 11-15 2351.65 Mar 25th NW Challenge 2018
4 Stanford Win 11-9 2944.73 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)