#356 Lehigh-B (5-8)

avg: 411.44  •  sd: 73.21  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
339 Delaware-B Loss 3-13 -68.01 Feb 22nd Bring The Huckus 2025
314 Rowan Win 7-6 748.62 Feb 22nd Bring The Huckus 2025
235 Skidmore Loss 4-9 315.2 Feb 22nd Bring The Huckus 2025
266 Drexel Loss 2-11 205.3 Feb 23rd Bring The Huckus 2025
314 Rowan Loss 2-12 23.62 Feb 23rd Bring The Huckus 2025
405 Dartmouth-B Win 13-3 566.19 Mar 22nd Jersey Devil 2025
384 West Chester-B Win 10-9 349.54 Mar 22nd Jersey Devil 2025
284 Northeastern-C Loss 4-8 192.32 Mar 22nd Jersey Devil 2025
332 Villanova Win 7-6 694.58 Mar 22nd Jersey Devil 2025
209 Penn State-B** Loss 3-13 424.7 Ignored Mar 23rd Jersey Devil 2025
332 Villanova Win 9-7 848.92 Mar 23rd Jersey Devil 2025
196 Haverford** Loss 3-13 468.39 Ignored Apr 12th East Penn D III Mens Conferences 2025
311 Swarthmore Loss 9-10 507.71 Apr 12th East Penn D III 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)