#22 Vault (26-1)

avg: 1665.92  •  sd: 76.75  •  top 16/20: 4%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
96 Magma Bears Win 11-5 1668.2 Jul 20th Stonewalled 2019
213 Hail Mary** Win 11-2 969.69 Ignored Jul 20th Stonewalled 2019
152 Watchdogs** Win 11-4 1362.9 Ignored Jul 20th Stonewalled 2019
111 Fathom** Win 13-4 1573.92 Ignored Jul 21st Stonewalled 2019
44 Lantern Win 13-5 1979.35 Jul 21st Stonewalled 2019
26 Blueprint Win 13-11 1778.91 Jul 21st Stonewalled 2019
42 Shade Win 13-8 1906.19 Aug 10th Chesapeake Open 2019
59 Big Wrench Win 11-9 1520.66 Aug 10th Chesapeake Open 2019
24 Brickhouse Win 12-11 1693.2 Aug 10th Chesapeake Open 2019
135 Oakgrove Boys Win 13-8 1363.12 Aug 10th Chesapeake Open 2019
38 Garden State Ultimate Win 13-11 1683.86 Aug 11th Chesapeake Open 2019
27 H.I.P Win 15-12 1849.05 Aug 11th Chesapeake Open 2019
26 Blueprint Win 15-10 2003.67 Aug 11th Chesapeake Open 2019
111 Fathom** Win 13-5 1573.92 Ignored Aug 24th FCS Invite 2019
37 Lost Boys Loss 6-10 964.93 Aug 24th FCS Invite 2019
139 Space Cowboys** Win 13-3 1434.13 Ignored Aug 24th FCS Invite 2019
115 baNC** Win 13-2 1562.39 Ignored Aug 24th FCS Invite 2019
37 Lost Boys Win 15-11 1842.25 Aug 25th FCS Invite 2019
35 Tanasi Win 14-12 1694.58 Aug 25th FCS Invite 2019
79 Bash Bros Win 13-8 1645.88 Aug 25th FCS Invite 2019
173 Medicine Men** Win 11-1 1252.84 Ignored Sep 7th Capital Mens Club Sectional Championship 2019
- Fathom II** Win 11-0 600 Ignored Sep 7th Capital Mens Club Sectional Championship 2019
235 HB Woodlawn** Win 11-2 637.73 Ignored Sep 7th Capital Mens Club Sectional Championship 2019
152 Watchdogs** Win 11-3 1362.9 Ignored Sep 7th Capital Mens Club Sectional Championship 2019
75 Richmond Floodwall Win 13-10 1493.31 Sep 8th Capital Mens Club Sectional Championship 2019
178 Bomb Squad** Win 11-1 1222.61 Ignored Sep 8th Capital Mens Club Sectional Championship 2019
98 Town Hall Stars** Win 11-2 1657.04 Ignored Sep 8th Capital 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)