#89 Towson (14-1)

avg: 944.84  •  sd: 184.4  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
159 Maryland-Baltimore County Win 14-10 543.44 Feb 8th TowsonTown Throwdown 2020
112 Richmond Loss 8-9 600.19 Feb 8th TowsonTown Throwdown 2020
185 American-B** Win 15-0 -197.38 Ignored Feb 8th TowsonTown Throwdown 2020
130 American Win 10-5 1140.38 Feb 8th TowsonTown Throwdown 2020
179 Christopher Newport** Win 13-4 202.79 Ignored Feb 9th TowsonTown Throwdown 2020
133 George Mason Win 15-6 1113.26 Feb 9th TowsonTown Throwdown 2020
163 George Washington-B** Win 13-4 600.88 Ignored Feb 9th TowsonTown Throwdown 2020
187 Towson-B** Win 8-1 -368.56 Ignored Feb 9th TowsonTown Throwdown 2020
153 West Virginia Win 10-5 813.72 Feb 22nd UMBC Safari Party 2020
190 SUNY-Buffalo** Win 13-0 -523.68 Ignored Feb 22nd UMBC Safari Party 2020
183 Goucher** Win 13-1 -67.42 Ignored Feb 22nd UMBC Safari Party 2020
173 Johns Hopkins** Win 15-2 388.84 Ignored Feb 23rd UMBC Safari Party 2020
110 Lehigh Win 9-6 1155.67 Feb 23rd UMBC Safari Party 2020
129 Syracuse Win 12-5 1167.02 Feb 23rd UMBC Safari Party 2020
138 MIT Win 11-6 1010.58 Feb 23rd UMBC Safari Party 2020
**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)