#362 Wisconsin-Oshkosh (4-9)

avg: 416.37  •  sd: 62.66  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
167 Minnesota State-Mankato Loss 7-9 809.95 Mar 9th D III Midwestern Invite 2019
143 Minnesota-Duluth Loss 2-4 702.91 Mar 9th D III Midwestern Invite 2019
- Wisconsin-Stevens Point Win 9-8 675.23 Mar 9th D III Midwestern Invite 2019
355 Northwestern-B Loss 5-7 130.76 Mar 10th D III Midwestern Invite 2019
240 Wisconsin-Eau Claire Loss 8-11 524.23 Mar 10th D III Midwestern Invite 2019
236 Wisconsin-Platteville Loss 7-11 435.11 Mar 10th D III Midwestern Invite 2019
271 San Diego State Loss 7-10 391.16 Mar 23rd Trouble in Vegas 2019
254 Cal Poly-Pomona Loss 8-13 344.03 Mar 23rd Trouble in Vegas 2019
425 Cal State-Fullerton Win 8-7 145.63 Mar 23rd Trouble in Vegas 2019
307 Colorado Mesa Loss 3-13 40.69 Mar 23rd Trouble in Vegas 2019
434 Southern California-B** Win 13-2 389.71 Ignored Mar 24th Trouble in Vegas 2019
388 Arizona-B Win 13-10 608.94 Mar 24th Trouble in Vegas 2019
216 Occidental Loss 3-9 327.34 Mar 24th Trouble in Vegas 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)