#57 Illinois (8-6)

avg: 1452.91  •  sd: 93.1  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
49 Alabama-Huntsville Win 11-10 1625.69 Jan 18th TTown Throwdown 2020 Open
276 Mississippi** Win 11-2 1077.49 Ignored Jan 18th TTown Throwdown 2020 Open
172 South Florida Win 11-2 1542.95 Jan 18th TTown Throwdown 2020 Open
60 LSU Win 15-12 1724.94 Jan 18th TTown Throwdown 2020 Open
41 Alabama Win 13-12 1725 Jan 19th TTown Throwdown 2020 Open
25 Georgia Tech Win 14-11 2090.09 Jan 19th TTown Throwdown 2020 Open
4 Cal Poly-SLO** Loss 1-14 1578.18 Ignored Feb 15th Presidents Day Invite 2020
54 California-Davis Win 12-9 1823.42 Feb 15th Presidents Day Invite 2020
37 Oklahoma State Loss 9-11 1371.06 Feb 15th Presidents Day Invite 2020
39 California-San Diego Loss 6-13 1017.36 Feb 16th Presidents Day Invite 2020
19 Oregon State Loss 8-11 1462.51 Feb 16th Presidents Day Invite 2020
160 San Diego State Win 11-6 1536.88 Feb 16th Presidents Day Invite 2020
54 California-Davis Loss 7-15 878.06 Feb 17th Presidents Day Invite 2020
90 Southern California Loss 9-12 924.85 Feb 17th Presidents Day Invite 2020
**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)