#79 Temple (8-6)

avg: 1226.54  •  sd: 86.4  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
65 Liberty Win 10-9 1439.23 Feb 15th Commonwealth Cup 2020 Weekend 1
139 Mary Washington Loss 7-8 681.2 Feb 15th Commonwealth Cup 2020 Weekend 1
219 Michigan-B** Win 10-2 663.75 Ignored Feb 15th Commonwealth Cup 2020 Weekend 1
134 Catholic Win 13-3 1429.99 Feb 15th Commonwealth Cup 2020 Weekend 1
111 Maryland Win 11-4 1617.61 Feb 16th Commonwealth Cup 2020 Weekend 1
37 Boston University Loss 7-9 1279.32 Feb 16th Commonwealth Cup 2020 Weekend 1
48 Case Western Reserve Loss 6-11 910.51 Feb 16th Commonwealth Cup 2020 Weekend 1
68 Virginia Tech Win 9-7 1572.68 Feb 16th Commonwealth Cup 2020 Weekend 1
89 Brown Win 7-6 1260.99 Mar 7th No Sleep Till Brooklyn 2020
66 Bates Loss 5-7 982.06 Mar 7th No Sleep Till Brooklyn 2020
91 Colby Win 6-5 1248.64 Mar 7th No Sleep Till Brooklyn 2020
102 NYU Win 10-5 1630.38 Mar 8th No Sleep Till Brooklyn 2020
82 Oberlin Loss 7-9 938.68 Mar 8th No Sleep Till Brooklyn 2020
99 Cornell Loss 7-8 944.72 Mar 8th No Sleep Till Brooklyn 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)