#53 Colt (20-6)

avg: 1340.96  •  sd: 68.77  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
51 Lantern Win 10-8 1621.49 Jun 22nd Boston Invite 2019
35 Blueprint Loss 5-15 877.19 Jun 22nd Boston Invite 2019
125 Sherbrooke Gentlemen's Club Win 15-4 1513.33 Jun 22nd Boston Invite 2019
66 Deathsquad Win 12-10 1480.44 Jun 22nd Boston Invite 2019
35 Blueprint Win 14-12 1698.15 Jun 23rd Boston Invite 2019
83 Club M - Manic Win 14-12 1347.46 Jun 23rd Boston Invite 2019
17 Sprout Loss 7-15 1167.5 Jun 23rd Boston Invite 2019
104 Burly Win 11-5 1625.93 Jul 20th Vacationland 2019
204 Spring Break '93** Win 13-3 1032.28 Ignored Jul 20th Vacationland 2019
165 Rising Tide U20B Win 13-7 1263.04 Jul 20th Vacationland 2019
66 Deathsquad Win 13-10 1570.46 Jul 20th Vacationland 2019
112 Somerville BAG Win 13-7 1550.91 Jul 21st Vacationland 2019
66 Deathsquad Loss 10-13 914.17 Jul 21st Vacationland 2019
151 Watchdogs Win 13-6 1376.5 Aug 3rd Philly Open 2019
146 Babe Win 13-4 1417.36 Aug 3rd Philly Open 2019
230 Hot Tamales** Win 13-1 778 Ignored Aug 3rd Philly Open 2019
211 Bearproof** Win 13-5 991.5 Ignored Aug 3rd Philly Open 2019
173 Hazard** Win 13-5 1235.92 Ignored Aug 4th Philly Open 2019
37 Tanasi Loss 14-15 1350.25 Aug 4th Philly Open 2019
- Festive Salmon** Win 13-3 990.35 Ignored Sep 7th Metro New York Mens Club Sectional Championship 2019
87 Magma Bears Win 13-5 1705.39 Sep 7th Metro New York Mens Club Sectional Championship 2019
121 Genny The Boys Win 11-7 1396.56 Sep 7th Metro New York Mens Club Sectional Championship 2019
241 defunCT** Win 13-1 438.58 Ignored Sep 7th Metro New York Mens Club Sectional Championship 2019
87 Magma Bears Loss 8-13 609.23 Sep 8th Metro New York Mens Club Sectional Championship 2019
121 Genny The Boys Win 14-7 1512.55 Sep 8th Metro New York Mens Club Sectional Championship 2019
44 Shade Loss 11-14 1095.85 Sep 8th Metro New York 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)