#218 Rensselaer Polytech (7-6)

avg: 878.7  •  sd: 83.63  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
175 Army Loss 14-15 907.37 Feb 24th Bring the Huckus 9
161 Boston University Loss 8-9 962.79 Feb 24th Bring the Huckus 9
198 Wesleyan Loss 8-12 507.36 Feb 24th Bring the Huckus 9
266 Swarthmore Win 13-8 1227.41 Feb 24th Bring the Huckus 9
175 Army Loss 5-10 458.47 Mar 4th 4th Annual West Point Classic
- Central Connecticut State Win 10-9 755.31 Mar 4th 4th Annual West Point Classic
357 Skidmore Win 9-6 765.62 Mar 4th 4th Annual West Point Classic
198 Wesleyan Loss 7-14 365.63 Mar 4th 4th Annual West Point Classic
319 Marist Win 10-4 1110.27 Mar 4th 4th Annual West Point Classic
148 San Diego State Win 12-10 1385.2 Mar 31st New England Open 2018
254 New Hampshire Loss 12-13 635.58 Mar 31st New England Open 2018
307 Rhode Island Win 12-7 1080.26 Mar 31st New England Open 2018
327 Keene State Win 13-6 1070.29 Mar 31st New England Open 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)