#121 Puget Sound (19-7)

avg: 1256.91  •  sd: 49.98  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
55 Oregon State Loss 8-9 1393.18 Jan 20th Flat Tail Open Tournament 2018
354 Washington-C** Win 13-1 954.31 Ignored Jan 20th Flat Tail Open Tournament 2018
226 Western Washington-B Win 13-6 1437.24 Jan 20th Flat Tail Open Tournament 2018
271 Central Washington Win 13-4 1306.87 Jan 20th Flat Tail Open Tournament 2018
165 Humboldt State Win 9-8 1191.68 Jan 21st Flat Tail Open Tournament 2018
35 Air Force Loss 5-10 1065.68 Jan 21st Flat Tail Open Tournament 2018
354 Washington-C** Win 13-4 954.31 Ignored Jan 21st Flat Tail Open Tournament 2018
158 Lewis & Clark Win 13-9 1520.69 Jan 21st Flat Tail Open Tournament 2018
146 Nevada-Reno Win 7-5 1477.44 Jan 21st Flat Tail Open Tournament 2018
141 Boston College Loss 8-10 903.5 Feb 10th Stanford Open 2018
26 Texas-Dallas Loss 7-10 1339.35 Feb 10th Stanford Open 2018
129 Claremont Loss 5-10 621.96 Feb 10th Stanford Open 2018
276 San Jose State Win 10-7 1088.5 Feb 11th Stanford Open 2018
329 California-Irvine** Win 13-4 1064.87 Ignored Feb 11th Stanford Open 2018
72 Portland Loss 12-14 1202.54 Mar 3rd 18th Annual PLU BBQ Open
158 Lewis & Clark Win 15-6 1702.13 Mar 3rd 18th Annual PLU BBQ Open
275 Washington-B Win 13-8 1196.28 Mar 3rd 18th Annual PLU BBQ Open
221 Whitworth Win 10-9 997.16 Mar 3rd 18th Annual PLU BBQ Open
205 Gonzaga Win 13-10 1253.48 Mar 3rd 18th Annual PLU BBQ Open
354 Washington-C Win 13-7 911.84 Mar 3rd 18th Annual PLU BBQ Open
205 Gonzaga Win 13-6 1525.34 Mar 24th NW Challenge 2018
158 Lewis & Clark Win 10-8 1364.79 Mar 24th NW Challenge 2018
275 Washington-B Win 12-8 1141.28 Mar 24th NW Challenge 2018
72 Portland Loss 7-10 1033.83 Mar 25th NW Challenge 2018
127 Montana Win 11-8 1572.66 Mar 25th NW Challenge 2018
191 Montana State Win 12-7 1490.95 Mar 25th NW Challenge 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)