#300 Maryland-Baltimore County (3-11)

avg: 685.62  •  sd: 73.86  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
140 George Mason Loss 7-12 767.61 Feb 22nd Monument Melee 2025
155 Johns Hopkins Loss 6-9 819.95 Feb 22nd Monument Melee 2025
238 Virginia Commonwealth Win 5-4 1030.77 Feb 22nd Monument Melee 2025
181 American Loss 7-10 749.29 Feb 23rd Monument Melee 2025
232 George Washington Loss 3-8 324.71 Feb 23rd Monument Melee 2025
332 Villanova Win 12-9 914.95 Feb 23rd Monument Melee 2025
243 College of New Jersey Loss 2-13 293.37 Mar 8th First State Invite
162 Delaware Loss 6-13 613.28 Mar 8th First State Invite
277 Salisbury Loss 8-10 506.85 Mar 8th First State Invite
232 George Washington Loss 5-12 324.71 Apr 12th Colonial D I Mens Conferences 2025
155 Johns Hopkins Loss 4-10 638.52 Apr 12th Colonial D I Mens Conferences 2025
208 Towson Win 6-5 1149.8 Apr 12th Colonial D I Mens Conferences 2025
55 Maryland** Loss 6-15 1077.37 Ignored Apr 12th Colonial D I Mens Conferences 2025
208 Towson Loss 14-15 899.8 Apr 13th Colonial 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)