#167 Minnesota State-Mankato (9-3)

avg: 1089.29  •  sd: 79.87  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
277 Texas-San Antonio Win 11-3 1369.49 Mar 2nd Mardi Gras XXXII
430 Texas A&M-C** Win 11-2 535.79 Ignored Mar 2nd Mardi Gras XXXII
185 Alabama-Birmingham Loss 9-11 782.75 Mar 2nd Mardi Gras XXXII
161 Sul Ross State Win 12-10 1356.03 Mar 2nd Mardi Gras XXXII
82 Texas State Loss 7-13 885.12 Mar 2nd Mardi Gras XXXII
212 Texas Christian Win 12-9 1295.99 Mar 3rd Mardi Gras XXXII
209 Trinity Loss 10-12 719.77 Mar 3rd Mardi Gras XXXII
362 Wisconsin-Oshkosh Win 9-7 695.71 Mar 9th D III Midwestern Invite 2019
236 Wisconsin-Platteville Win 9-6 1320.57 Mar 9th D III Midwestern Invite 2019
355 Northwestern-B Win 6-3 1005.6 Mar 10th D III Midwestern Invite 2019
143 Minnesota-Duluth Win 8-7 1324.07 Mar 10th D III Midwestern Invite 2019
240 Wisconsin-Eau Claire Win 12-9 1235.2 Mar 10th D III Midwestern Invite 2019
**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)