#218 MIT (9-8)

avg: 739.3  •  sd: 59.26  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
223 Colby Win 8-6 1006.88 Feb 22nd Bring The Huckus 2025
171 Dickinson Loss 7-9 673.87 Feb 22nd Bring The Huckus 2025
116 West Chester Loss 7-8 1067.17 Feb 22nd Bring The Huckus 2025
275 SUNY-Geneseo Win 10-9 606.03 Feb 22nd Bring The Huckus 2025
174 Delaware Loss 5-11 338.01 Feb 23rd Bring The Huckus 2025
217 Haverford Loss 8-10 478.91 Feb 23rd Bring The Huckus 2025
246 Skidmore Win 13-12 755.46 Feb 23rd Bring The Huckus 2025
222 Harvard Win 7-6 834.9 Mar 9th MIT Invite
356 Harvard-B** Win 13-1 628.93 Ignored Mar 9th MIT Invite
305 Northeastern-C Loss 8-9 233.84 Mar 9th MIT Invite
340 MIT-B Win 13-3 759.35 Mar 9th MIT Invite
144 Bates Win 11-10 1184.56 Mar 22nd PBR State Open
122 Boston University Loss 6-12 588.47 Mar 22nd PBR State Open
166 Brandeis Loss 9-10 847.11 Mar 22nd PBR State Open
290 Worcester Polytechnic Win 13-7 971.23 Mar 22nd PBR State Open
334 Bentley Win 15-1 794.03 Mar 23rd PBR State Open
112 Bowdoin Loss 5-13 604.58 Mar 23rd PBR State Open
**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)