#108 Somerville BAG (18-9)

avg: 997.97  •  sd: 50.78  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
77 Log Jam Loss 13-15 940.25 Jun 22nd Boston Invite 2019
153 BUDA U20B Win 13-9 1180.19 Jun 22nd Boston Invite 2019
188 Thunder Boys Win 13-8 1027.01 Jun 22nd Boston Invite 2019
159 Ender's Outcasts Win 9-8 861.52 Jun 22nd Boston Invite 2019
181 Helots Win 15-13 787.04 Jun 23rd Boston Invite 2019
148 Overcast Win 13-8 1273.38 Jun 23rd Boston Invite 2019
57 Red Circus Loss 13-14 1157.69 Jun 23rd Boston Invite 2019
141 Regiment Win 11-6 1377.83 Jun 23rd Boston Invite 2019
163 One Night Win 11-5 1309.33 Jul 20th Vacationland 2019
159 Ender's Outcasts Win 11-8 1102.13 Jul 20th Vacationland 2019
188 Thunder Boys Win 11-9 780.06 Jul 20th Vacationland 2019
92 Red Tide Loss 5-11 480.32 Jul 20th Vacationland 2019
50 Colt Loss 7-13 787.34 Jul 21st Vacationland 2019
197 Madhouse Win 11-4 1076.15 Jul 21st Vacationland 2019
92 Red Tide Win 13-11 1309.16 Jul 21st Vacationland 2019
200 NEO Win 13-7 1021.02 Aug 3rd Philly Open 2019
233 Buffalo Open** Win 13-3 670.58 Ignored Aug 3rd Philly Open 2019
171 Adelphos Win 13-9 1075.37 Aug 3rd Philly Open 2019
35 Tanasi Loss 11-13 1244.79 Aug 3rd Philly Open 2019
220 Genny Lite Win 13-9 691.66 Aug 4th Philly Open 2019
137 Babe Loss 11-15 460.74 Aug 4th Philly Open 2019
59 Big Wrench Loss 8-9 1146.45 Sep 7th East New England Mens Club Sectional Championship 2019
57 Red Circus Loss 8-10 1020.02 Sep 7th East New England Mens Club Sectional Championship 2019
159 Ender's Outcasts Loss 8-10 473.85 Sep 7th East New England Mens Club Sectional Championship 2019
189 Watch City Win 12-4 1130.14 Sep 7th East New England Mens Club Sectional Championship 2019
92 Red Tide Win 15-13 1294.5 Sep 8th East New England Mens Club Sectional Championship 2019
163 One Night Win 12-9 1054.7 Sep 8th East New England Mens Club Sectional Championship 2019
**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)