#363 Wisconsin-Oshkosh (3-13)

avg: 332.91  •  sd: 59.24  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
261 Drake Loss 6-11 200.66 Feb 17th Ugly Dome 2018
101 Minnesota-B** Loss 1-11 730.15 Ignored Feb 17th Ugly Dome 2018
219 Macalester Loss 3-11 274.87 Feb 17th Ugly Dome 2018
306 Carleton College-Hot Karls Loss 1-11 -39.64 Feb 17th Ugly Dome 2018
163 Wisconsin- La Crosse** Loss 1-11 478.77 Ignored Feb 17th Ugly Dome 2018
348 Iowa State-B Win 12-11 494.71 Mar 3rd Midwest Throwdown 2018
99 Missouri S&T** Loss 6-15 737.88 Ignored Mar 3rd Midwest Throwdown 2018
170 Kansas State** Loss 3-15 459.64 Ignored Mar 3rd Midwest Throwdown 2018
259 Northern Illinois Loss 8-15 187.59 Mar 4th Midwest Throwdown 2018
201 Wisconsin-Eau Claire Loss 9-13 514.07 Mar 4th Midwest Throwdown 2018
348 Iowa State-B Loss 8-9 244.71 Mar 24th Meltdown 2018
304 Olivet Nazarene Loss 6-7 443.42 Mar 24th Meltdown 2018
142 North Park Loss 5-9 634.7 Mar 24th Meltdown 2018
346 Illinois-Chicago Win 8-6 689.13 Mar 25th Meltdown 2018
420 Wisconsin-C Win 12-9 172.45 Mar 25th Meltdown 2018
262 Valparaiso Loss 5-13 144.09 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)