#367 Boise State (1-10)

avg: 348.32  •  sd: 152.67  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
286 Montana Loss 4-13 149.22 Mar 1st Big Sky Brawl 2025
262 Nevada-Reno Loss 5-9 293.06 Mar 1st Big Sky Brawl 2025
286 Montana Win 9-7 1028.56 Mar 1st Big Sky Brawl 2025
262 Nevada-Reno Loss 4-10 222.12 Mar 2nd Big Sky Brawl 2025
286 Montana Loss 4-9 149.22 Mar 2nd Big Sky Brawl 2025
262 Nevada-Reno Loss 6-12 242.81 Mar 2nd Big Sky Brawl 2025
27 Utah** Loss 0-11 1303.46 Ignored Apr 19th Big Sky D I Mens Conferences 2025
154 Brigham Young-B** Loss 1-11 644.54 Ignored Apr 19th Big Sky D I Mens Conferences 2025
25 Utah Valley** Loss 0-11 1344 Ignored Apr 19th Big Sky D I Mens Conferences 2025
137 Montana State** Loss 1-11 705.33 Ignored Apr 19th Big Sky D I Mens Conferences 2025
135 Gonzaga** Loss 5-15 708.08 Ignored Apr 20th Big Sky D I Mens Conferences 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)