#49 Marquette (12-4)

avg: 1548.36  •  sd: 92.3  •  top 16/20: 0.1%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
47 Iowa State Loss 11-15 1187.08 Mar 3rd Midwest Throwdown 2018
114 Minnesota-Duluth Win 13-9 1699.63 Mar 3rd Midwest Throwdown 2018
74 Washington University Loss 6-15 818.49 Mar 3rd Midwest Throwdown 2018
105 Wisconsin-Milwaukee Win 13-11 1546.27 Mar 4th Midwest Throwdown 2018
51 Ohio State Loss 7-15 937.69 Mar 4th Midwest Throwdown 2018
164 St John's Win 15-6 1673.4 Mar 4th Midwest Throwdown 2018
294 Illinois-B** Win 12-2 1197.03 Ignored Mar 24th Meltdown 2018
348 Iowa State-B** Win 11-1 969.71 Ignored Mar 24th Meltdown 2018
304 Olivet Nazarene** Win 13-2 1168.42 Ignored Mar 24th Meltdown 2018
188 Wisconsin-B Win 15-3 1580.67 Mar 25th Meltdown 2018
118 Wisconsin-Whitewater Win 11-5 1864.82 Mar 25th Meltdown 2018
157 St Olaf Win 13-8 1601.5 Mar 25th Meltdown 2018
52 Harvard Loss 12-13 1411.01 Mar 31st Huck Finn 2018
81 Florida State Win 15-6 2008.72 Mar 31st Huck Finn 2018
91 Penn State Win 14-7 1956.79 Mar 31st Huck Finn 2018
162 Saint Louis Win 15-9 1595.23 Mar 31st Huck Finn 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)