#86 Marquette (12-5)

avg: 1426.08  •  sd: 69.23  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
105 Iowa Loss 11-12 1212.36 Mar 2nd Midwest Throwdown 2019
128 Saint Louis Win 11-10 1397.58 Mar 2nd Midwest Throwdown 2019
70 St Olaf Loss 8-13 1004.38 Mar 2nd Midwest Throwdown 2019
124 Wisconsin-Milwaukee Win 8-7 1403.72 Mar 2nd Midwest Throwdown 2019
332 Milwaukee School of Engineering** Win 13-3 1159.2 Ignored Mar 23rd Meltdown 2019
237 Loyola-Chicago Win 11-5 1499.86 Mar 23rd Meltdown 2019
424 Coe** Win 13-0 635.35 Ignored Mar 23rd Meltdown 2019
177 Winona State Win 13-4 1662.04 Mar 23rd Meltdown 2019
198 Valparaiso Win 13-4 1598.06 Mar 24th Meltdown 2019
97 Grand Valley State Win 13-11 1592.64 Mar 24th Meltdown 2019
109 Truman State Win 13-9 1741.86 Mar 24th Meltdown 2019
79 Tulane Win 7-6 1581.42 Mar 30th Huck Finn XXIII
37 Illinois Loss 6-11 1173.69 Mar 30th Huck Finn XXIII
92 John Brown Loss 8-11 1012.07 Mar 31st Huck Finn XXIII
164 Arizona State Win 10-5 1677.12 Mar 31st Huck Finn XXIII
68 Cincinnati Loss 5-7 1187.23 Mar 31st Huck Finn XXIII
152 Arkansas Win 9-6 1571.77 Mar 31st Huck Finn XXIII
**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)