#42 Stanford (17-15)

avg: 1617.36  •  sd: 38.33  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
14 California Loss 7-12 1448.72 Jan 25th Santa Barbara Invite 2025
50 Colorado State Win 11-10 1686.63 Jan 25th Santa Barbara Invite 2025
23 Victoria Loss 8-9 1723.42 Jan 25th Santa Barbara Invite 2025
29 Utah Valley Loss 7-10 1362.59 Jan 26th Santa Barbara Invite 2025
92 Cal Poly-CCWR Win 13-12 1409.01 Feb 1st Pres Day Quals men
262 California-B** Win 13-4 1158.86 Ignored Feb 1st Pres Day Quals men
173 California-Davis Win 13-7 1502.88 Feb 1st Pres Day Quals men
91 Cal Poly-SLO-B Win 11-9 1539.43 Feb 2nd Pres Day Quals men
58 Grand Canyon Win 13-3 2100.66 Feb 2nd Pres Day Quals men
140 Santa Clara Win 13-5 1676.39 Feb 2nd Pres Day Quals men
2 Colorado Loss 6-13 1632.88 Feb 15th Presidents Day Invite 2025
55 UCLA Win 11-7 2002.13 Feb 15th Presidents Day Invite 2025
7 Washington Loss 8-12 1674.98 Feb 15th Presidents Day Invite 2025
6 Cal Poly-SLO Loss 7-13 1570.09 Feb 16th Presidents Day Invite 2025
41 California-San Diego Win 11-10 1746.47 Feb 16th Presidents Day Invite 2025
10 Oregon State Loss 7-13 1424.14 Feb 16th Presidents Day Invite 2025
50 Colorado State Win 13-9 1980.2 Feb 17th Presidents Day Invite 2025
26 Utah Loss 8-11 1429.97 Feb 17th Presidents Day Invite 2025
12 British Columbia Loss 9-12 1626.6 Mar 8th Stanford Invite 2025 Mens
33 California-Santa Barbara Win 13-12 1785.93 Mar 8th Stanford Invite 2025 Mens
141 Northwestern Win 13-8 1569.02 Mar 8th Stanford Invite 2025 Mens
140 Santa Clara Win 13-6 1676.39 Mar 8th Stanford Invite 2025 Mens
41 California-San Diego Loss 10-11 1496.47 Mar 9th Stanford Invite 2025 Mens
9 California-Santa Cruz Loss 6-13 1421.18 Mar 9th Stanford Invite 2025 Mens
43 Virginia Tech Win 9-7 1891.54 Mar 9th Stanford Invite 2025 Mens
35 Chicago Loss 6-8 1353.84 Mar 29th Huck Finn 2025
11 Davenport Loss 6-14 1380.95 Mar 29th Huck Finn 2025
67 Indiana Win 14-11 1756.58 Mar 29th Huck Finn 2025
84 Ohio State Win 13-6 1919.67 Mar 29th Huck Finn 2025
35 Chicago Loss 8-10 1391.67 Mar 30th Huck Finn 2025
50 Colorado State Win 9-8 1686.63 Mar 30th Huck Finn 2025
11 Davenport Loss 6-13 1380.95 Mar 30th Huck Finn 2025
**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)