#35 Cal Poly-SLO (11-9)

avg: 2036.55  •  sd: 72.73  •  top 16/20: 0.3%

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# Opponent Result Game Rating Status Date Event
2 California-San Diego** Loss 5-13 2132.82 Ignored Jan 27th Santa Barbara Invitational 2018
18 Brigham Young Loss 10-13 1958.37 Jan 27th Santa Barbara Invitational 2018
43 Southern California Win 12-10 2228.4 Jan 27th Santa Barbara Invitational 2018
28 Washington University Win 13-11 2342.73 Jan 27th Santa Barbara Invitational 2018
17 California-Santa Barbara Loss 12-13 2195.26 Jan 28th Santa Barbara Invitational 2018
26 California Loss 12-13 2008.23 Jan 28th Santa Barbara Invitational 2018
44 Colorado State Win 13-8 2477.76 Jan 28th Santa Barbara Invitational 2018
164 UCLA-B** Win 13-1 1706.29 Ignored Feb 3rd 2018 Presidents Day Qualifying Tournament
100 Arizona State Win 13-3 2106.24 Feb 3rd 2018 Presidents Day Qualifying Tournament
242 California-Davis-B** Win 13-2 1110.9 Ignored Feb 3rd 2018 Presidents Day Qualifying Tournament
189 Sonoma State** Win 13-3 1539.66 Ignored Feb 3rd 2018 Presidents Day Qualifying Tournament
120 California-San Diego-B** Win 13-2 1978.7 Ignored Feb 4th 2018 Presidents Day Qualifying Tournament
17 California-Santa Barbara Loss 10-13 1992.12 Feb 4th 2018 Presidents Day Qualifying Tournament
63 Arizona Win 9-7 2065.57 Feb 4th 2018 Presidents Day Qualifying Tournament
2 California-San Diego** Loss 5-12 2132.82 Ignored Mar 24th NW Challenge 2018
17 California-Santa Barbara Loss 5-15 1720.26 Mar 24th NW Challenge 2018
36 Colorado College Win 13-12 2158.18 Mar 24th NW Challenge 2018
38 Victoria Loss 8-11 1654.59 Mar 24th NW Challenge 2018
69 Boston College Win 15-7 2350.35 Mar 25th NW Challenge 2018
20 Washington Loss 6-15 1640.23 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)