#20 Cal Poly-SLO (16-12)

avg: 1843.12  •  sd: 50.77  •  top 16/20: 72.5%

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# Opponent Result Game Rating Status Date Event
18 Brigham Young Win 12-11 1978.38 Jan 26th Santa Barbara Invitational 2018
100 Arizona Win 13-7 1893.01 Jan 27th Santa Barbara Invitational 2018
148 San Diego State** Win 13-5 1747.07 Ignored Jan 27th Santa Barbara Invitational 2018
67 Utah Loss 11-12 1332.97 Jan 27th Santa Barbara Invitational 2018
17 Colorado State Win 15-13 2083.93 Jan 27th Santa Barbara Invitational 2018
38 Southern California Win 13-9 2052.46 Jan 28th Santa Barbara Invitational 2018
32 California Win 13-11 1924.64 Jan 28th Santa Barbara Invitational 2018
15 Stanford Loss 10-13 1557.49 Jan 28th Santa Barbara Invitational 2018
24 Western Washington Loss 9-10 1617.07 Jan 28th Santa Barbara Invitational 2018
19 Colorado Loss 10-12 1612.83 Feb 17th Presidents Day Invitational Tournament 2018
65 California-Santa Barbara Win 15-7 2062.37 Feb 17th Presidents Day Invitational Tournament 2018
76 Chicago Win 15-9 1930.79 Feb 17th Presidents Day Invitational Tournament 2018
60 Cornell Win 14-6 2073.23 Feb 18th Presidents Day Invitational Tournament 2018
3 Oregon Loss 10-15 1735.17 Feb 18th Presidents Day Invitational Tournament 2018
5 Washington Win 12-9 2396.77 Feb 18th Presidents Day Invitational Tournament 2018
3 Oregon Loss 9-12 1843.41 Feb 19th Presidents Day Invitational Tournament 2018
19 Colorado Win 11-9 2100.16 Feb 19th Presidents Day Invitational Tournament 2018
55 Oregon State Win 14-13 1643.18 Mar 3rd Stanford Invite 2018
43 British Columbia Win 13-7 2152.18 Mar 3rd Stanford Invite 2018
2 Carleton College Loss 7-13 1670.67 Mar 3rd Stanford Invite 2018
7 Pittsburgh Loss 8-11 1621.85 Mar 4th Stanford Invite 2018
3 Oregon Loss 9-13 1770.21 Mar 4th Stanford Invite 2018
15 Stanford Win 12-8 2326.78 Mar 4th Stanford Invite 2018
13 Wisconsin Loss 9-13 1498.56 Mar 4th Stanford Invite 2018
30 Auburn Loss 11-13 1480.42 Mar 31st Easterns 2018
6 Brown Win 16-15 2171.71 Mar 31st Easterns 2018
10 Virginia Tech Loss 8-12 1482.15 Mar 31st Easterns 2018
93 Cincinnati Win 15-9 1878.9 Mar 31st Easterns 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)