#61 Washington University (11-3)

avg: 1424.4  •  sd: 92.63  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
89 Carleton College-GoP Loss 5-11 678.33 Feb 8th Stanford Open 2020
126 Chico State Loss 8-10 859.77 Feb 8th Stanford Open 2020
284 San Jose State** Win 13-2 1031.9 Ignored Feb 8th Stanford Open 2020
302 Santa Clara-B** Win 13-2 916.06 Ignored Feb 8th Stanford Open 2020
284 San Jose State** Win 9-3 1031.9 Ignored Feb 9th Stanford Open 2020
148 Sonoma State Win 6-3 1554.5 Feb 9th Stanford Open 2020
168 Lewis & Clark Win 8-3 1565.3 Feb 9th Stanford Open 2020
140 Arkansas Win 15-6 1643.15 Feb 22nd Dust Bowl 2020
166 Colorado College Win 14-8 1508.89 Feb 22nd Dust Bowl 2020
169 Luther Win 15-5 1565.12 Feb 22nd Dust Bowl 2020
145 Nebraska Win 15-6 1617.59 Feb 23rd Dust Bowl 2020
37 Oklahoma State Loss 13-15 1406.09 Feb 23rd Dust Bowl 2020
199 Texas Christian Win 15-6 1435.08 Feb 23rd Dust Bowl 2020
100 Truman State Win 15-9 1725.21 Feb 23rd Dust Bowl 2020
**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)