#8 Stanford (21-8)

avg: 2107.22  •  sd: 47.69  •  top 16/20: 100%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
17 Victoria Win 8-6 2026.25 Jan 28th Santa Barbara Invitational 2023
74 Lewis & Clark** Win 15-3 1649.24 Ignored Jan 28th Santa Barbara Invitational 2023
6 Brigham Young Loss 7-10 1765.16 Jan 28th Santa Barbara Invitational 2023
24 California-Davis Win 12-6 2172.55 Jan 29th Santa Barbara Invitational 2023
12 California-Santa Barbara Win 8-7 2057.78 Jan 29th Santa Barbara Invitational 2023
7 Carleton College Loss 9-11 1902.8 Jan 29th Santa Barbara Invitational 2023
19 Colorado State Win 13-6 2287 Feb 18th President’s Day Invite
11 Oregon Win 9-8 2094.78 Feb 18th President’s Day Invite
29 UCLA Win 11-5 2136.89 Feb 18th President’s Day Invite
23 Carleton College-Eclipse Win 13-4 2205.11 Feb 18th President’s Day Invite
71 Utah** Win 11-4 1696.07 Ignored Feb 19th President’s Day Invite
25 Duke Win 12-2 2168.74 Feb 19th President’s Day Invite
54 Cal Poly-SLO** Win 10-3 1852.19 Ignored Feb 19th President’s Day Invite
24 California-Davis Win 11-2 2193.24 Feb 19th President’s Day Invite
12 California-Santa Barbara Win 12-5 2532.78 Feb 20th President’s Day Invite
3 Colorado Loss 8-12 1899.8 Feb 20th President’s Day Invite
30 California Win 10-5 2105.81 Mar 11th Stanford Invite Womens
20 Western Washington Win 11-5 2253.85 Mar 11th Stanford Invite Womens
6 Brigham Young Win 11-9 2404.04 Mar 11th Stanford Invite Womens
4 Tufts Loss 7-13 1742.76 Mar 12th Stanford Invite Womens
30 California Win 10-7 1921.58 Mar 12th Stanford Invite Womens
2 British Columbia Loss 6-9 2003.07 Mar 12th Stanford Invite Womens
17 Victoria Win 13-4 2325.75 Mar 25th Northwest Challenge1
71 Utah** Win 13-3 1696.07 Ignored Mar 25th Northwest Challenge1
3 Colorado Loss 9-13 1922.39 Mar 25th Northwest Challenge1
29 UCLA Win 13-8 2033.05 Mar 25th Northwest Challenge1
5 Vermont Win 12-8 2688.22 Mar 26th Northwest Challenge1
7 Carleton College Loss 11-13 1923.17 Mar 26th Northwest Challenge1
2 British Columbia Loss 6-13 1821.63 Mar 26th Northwest Challenge1
**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)