#108 Wisconsin-Eau Claire (8-5)

avg: 1447.12  •  sd: 59.29  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
156 Missouri S&T Win 11-10 1267.48 Mar 3rd Midwest Throwdown 2018
168 Luther Win 12-9 1404.73 Mar 3rd Midwest Throwdown 2018
206 Missouri** Win 14-2 1418.69 Ignored Mar 3rd Midwest Throwdown 2018
37 Northwestern Loss 0-15 1428.18 Mar 4th Midwest Throwdown 2018
28 Washington University** Loss 2-13 1513.89 Ignored Mar 4th Midwest Throwdown 2018
143 Truman State Loss 6-7 1105.82 Mar 4th Midwest Throwdown 2018
180 South Florida Win 12-5 1600.57 Mar 17th College Southerns 2018
54 Florida State Loss 4-9 1256.06 Mar 17th College Southerns 2018
124 Carleton College-Eclipse Win 10-9 1477.52 Mar 17th College Southerns 2018
180 South Florida Win 9-0 1600.57 Mar 18th College Southerns 2018
62 Central Florida Loss 3-13 1198.88 Mar 18th College Southerns 2018
174 Florida-B Win 11-2 1637.55 Mar 18th College Southerns 2018
124 Carleton College-Eclipse Win 8-3 1952.52 Mar 18th College Southerns 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)