#142 North Park (8-6)

avg: 1238.37  •  sd: 80.86  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
225 Wisconsin-B Win 11-3 1293.57 Mar 3rd Midwest Throwdown 2018
144 Texas-Dallas Win 10-5 1800.94 Mar 3rd Midwest Throwdown 2018
235 Kansas-B** Win 12-3 1183.69 Ignored Mar 3rd Midwest Throwdown 2018
151 Grinnell College Win 13-6 1780.11 Mar 3rd Midwest Throwdown 2018
57 Kansas Loss 8-9 1711.54 Mar 4th Midwest Throwdown 2018
55 Iowa State Loss 7-12 1325.95 Mar 4th Midwest Throwdown 2018
96 St Olaf Loss 6-9 1107.49 Mar 4th Midwest Throwdown 2018
210 Central Michigan Win 6-4 1161.41 Mar 24th Meltdown 2018
190 Knox Win 10-9 1063.21 Mar 24th Meltdown 2018
198 Marquette Loss 7-8 783.8 Mar 24th Meltdown 2018
146 DePaul Loss 7-8 1074.94 Mar 24th Meltdown 2018
203 Loyola-Chicago Win 7-6 979.86 Mar 25th Meltdown 2018
146 DePaul Loss 10-12 961.82 Mar 25th Meltdown 2018
236 Drake** Win 11-3 1179.42 Ignored Mar 25th Meltdown 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)