#68 Lewis & Clark (10-6)

avg: 1330.23  •  sd: 90.46  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
158 Claremont Win 11-5 1426.85 Feb 9th Stanford Open 2019
234 Nevada-Reno** Win 13-1 871.07 Ignored Feb 9th Stanford Open 2019
21 Cal Poly-SLO Loss 10-11 1818.59 Feb 9th Stanford Open 2019
138 Oregon State Win 12-2 1534.17 Feb 23rd 2019 PLU Womens BBQ
186 Western Washington-B Win 13-7 1168.67 Feb 23rd 2019 PLU Womens BBQ
129 Pacific Lutheran Loss 5-11 399.54 Feb 23rd 2019 PLU Womens BBQ
205 Portland State** Win 15-1 1102.95 Ignored Feb 24th 2019 PLU Womens BBQ
54 Puget Sound Win 14-12 1713.09 Feb 24th 2019 PLU Womens BBQ
55 Portland Loss 7-12 967.46 Feb 24th 2019 PLU Womens BBQ
158 Claremont Win 12-9 1172.22 Mar 30th 2019 NW Challenge Tier 2 3
123 Boise State Win 12-8 1460.53 Mar 30th 2019 NW Challenge Tier 2 3
23 California Loss 1-13 1317.92 Mar 30th 2019 NW Challenge Tier 2 3
55 Portland Win 11-9 1737.17 Mar 30th 2019 NW Challenge Tier 2 3
84 Victoria Win 10-8 1508.02 Mar 31st 2019 NW Challenge Tier 2 3
54 Puget Sound Loss 10-11 1367.13 Mar 31st 2019 NW Challenge Tier 2 3
55 Portland Loss 7-12 967.46 Mar 31st 2019 NW Challenge Tier 2 3
**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)