#20 Northeastern (9-10)

avg: 2101.67  •  sd: 55.33  •  top 16/20: 67.8%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
137 Case Western Reserve** Win 15-2 1499.44 Ignored Feb 10th Queen City Tune Up 2024
56 Florida Win 14-3 2149.25 Feb 10th Queen City Tune Up 2024
7 Tufts Loss 4-15 1920.18 Feb 10th Queen City Tune Up 2024
34 Minnesota Win 15-5 2418.79 Feb 10th Queen City Tune Up 2024
12 Michigan Loss 11-15 1930.44 Feb 11th Queen City Tune Up 2024
29 Wisconsin Win 8-7 2038.61 Feb 11th Queen City Tune Up 2024
1 British Columbia** Loss 4-13 2294.15 Ignored Mar 16th NW Challenge 2024
18 Victoria Win 13-12 2246.36 Mar 16th NW Challenge 2024
13 Western Washington Loss 12-13 2086.79 Mar 16th NW Challenge 2024
8 Colorado Loss 4-13 1858.07 Mar 17th NW Challenge 2024
10 Washington Loss 6-13 1748.78 Mar 17th NW Challenge 2024
13 Western Washington Loss 11-13 1982.95 Mar 17th NW Challenge 2024
90 Carnegie Mellon** Win 8-2 1890.85 Ignored Mar 30th East Coast Invite 2024
39 Virginia Win 15-2 2338.89 Mar 30th East Coast Invite 2024
4 North Carolina Loss 6-15 2022.41 Mar 30th East Coast Invite 2024
35 Ohio Win 13-5 2398.14 Mar 30th East Coast Invite 2024
7 Tufts Loss 7-15 1920.18 Mar 31st East Coast Invite 2024
2 Vermont** Loss 3-15 2189.63 Ignored Mar 31st East Coast Invite 2024
17 Pennsylvania Win 10-8 2387.37 Mar 31st East Coast Invite 2024
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)