#382 Lehigh-B (3-11)

avg: 287.63  •  sd: 57.96  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
319 Edinboro Loss 4-9 54.16 Feb 24th Bring The Huckus 2024
256 Salisbury Loss 3-7 319.79 Feb 24th Bring The Huckus 2024
245 Skidmore** Loss 3-13 378.07 Ignored Feb 24th Bring The Huckus 2024
310 Stevens Tech Loss 7-8 553.83 Feb 24th Bring The Huckus 2024
331 Rutgers-B Loss 6-13 -3.72 Feb 25th Bring The Huckus 2024
318 Swarthmore Loss 9-15 139.99 Feb 25th Bring The Huckus 2024
272 Rowan Loss 5-11 256.78 Mar 23rd Garden State 2024
407 West Chester-B Win 7-4 363.72 Mar 23rd Garden State 2024
319 Edinboro Loss 4-11 54.16 Mar 24th Garden State 2024
234 Haverford** Loss 2-9 399.52 Ignored Mar 24th Garden State 2024
310 Stevens Tech Win 11-10 803.83 Mar 24th Garden State 2024
407 West Chester-B Win 11-2 467.56 Mar 24th Garden State 2024
234 Haverford** Loss 3-11 399.52 Ignored Apr 13th East Penn D III Mens Conferences 2024
318 Swarthmore Loss 6-11 108.77 Apr 13th East Penn D III Mens Conferences 2024
**Blowout Eligible

FAQ

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
  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
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)