#5 Cal Poly-SLO (25-4)

avg: 2174.71  •  sd: 46.48  •  top 16/20: 100%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
17 Brigham Young Win 14-9 2349.31 Jan 26th Santa Barbara Invite 2024
24 British Columbia Win 13-7 2358.06 Jan 27th Santa Barbara Invite 2024
47 Oklahoma Christian Win 15-7 2120.17 Jan 27th Santa Barbara Invite 2024
79 Grand Canyon** Win 15-5 1940.7 Ignored Jan 27th Santa Barbara Invite 2024
67 Chicago Win 13-8 1883.18 Jan 27th Santa Barbara Invite 2024
39 Victoria Win 15-4 2185.73 Jan 28th Santa Barbara Invite 2024
23 UCLA Win 15-7 2408.44 Jan 28th Santa Barbara Invite 2024
6 Oregon Win 15-8 2674.07 Jan 28th Santa Barbara Invite 2024
134 California-Irvine Win 15-8 1673.9 Feb 17th Presidents Day Invite 2024
26 Utah State Win 11-10 1894.41 Feb 17th Presidents Day Invite 2024
22 Washington Win 14-10 2217.7 Feb 17th Presidents Day Invite 2024
18 Oregon State Win 14-12 2090.26 Feb 18th Presidents Day Invite 2024
6 Oregon Win 14-12 2330.21 Feb 18th Presidents Day Invite 2024
30 Utah Win 14-9 2150.86 Feb 18th Presidents Day Invite 2024
18 Oregon State Win 15-5 2469.3 Feb 19th Presidents Day Invite 2024
3 Colorado Win 15-11 2624.29 Feb 19th Presidents Day Invite 2024
24 British Columbia Win 12-8 2241.68 Mar 23rd Northwest Challenge Mens 2024
30 Utah Win 15-13 1891.17 Mar 23rd Northwest Challenge Mens 2024
6 Oregon Win 15-12 2409.75 Mar 23rd Northwest Challenge Mens 2024
18 Oregon State Win 15-13 2083.48 Mar 24th Northwest Challenge Mens 2024
10 Carleton College Win 11-7 2477.23 Mar 24th Northwest Challenge Mens 2024
6 Oregon Loss 12-15 1808.77 Mar 24th Northwest Challenge Mens 2024
12 Alabama-Huntsville Loss 12-13 1868.67 Mar 30th Easterns 2024
9 Brown Win 10-9 2150.07 Mar 30th Easterns 2024
36 North Carolina-Charlotte Win 13-9 2036.82 Mar 30th Easterns 2024
16 Penn State Win 13-7 2478.76 Mar 30th Easterns 2024
10 Carleton College Win 15-12 2310.83 Mar 31st Easterns 2024
2 Georgia Loss 13-15 2058.63 Mar 31st Easterns 2024
7 Pittsburgh Loss 12-13 1968.14 Mar 31st Easterns 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)