#131 Chicago (5-10)

avg: 1266.49  •  sd: 43.66  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
24 Auburn Loss 4-13 1196.78 Feb 9th Queen City Tune Up 2019 Men
26 North Carolina-Wilmington Loss 6-12 1201.66 Feb 9th Queen City Tune Up 2019 Men
64 Ohio Loss 10-12 1301.28 Feb 9th Queen City Tune Up 2019 Men
44 Virginia Loss 8-12 1230.26 Feb 9th Queen City Tune Up 2019 Men
66 Penn State Loss 13-14 1410.24 Feb 10th Queen City Tune Up 2019 Men
108 North Carolina-Charlotte Loss 13-15 1110.89 Feb 10th Queen City Tune Up 2019 Men
69 Emory Loss 8-13 1012.3 Mar 23rd College Southerns XVIII
259 Florida Atlantic Win 13-11 1058.89 Mar 23rd College Southerns XVIII
207 North Florida Win 13-9 1384.08 Mar 23rd College Southerns XVIII
89 Luther Loss 10-12 1158.43 Mar 23rd College Southerns XVIII
256 Georgia-B Win 15-7 1431.15 Mar 24th College Southerns XVIII
173 Georgia College Win 15-9 1584.59 Mar 24th College Southerns XVIII
146 North Carolina-Asheville Win 13-11 1417.01 Mar 24th College Southerns XVIII
98 Kansas Loss 8-11 997.57 Mar 30th Huck Finn XXIII
55 Florida State Loss 7-8 1486.67 Mar 30th Huck Finn XXIII
**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)