#52 Oakgrove Boys (15-10)

avg: 1186.93  •  sd: 99.87  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
169 Bearfest** Win 11-3 634.92 Ignored Jul 28th 2018 Richmond Stonewalled
27 Turbine Loss 3-11 792.19 Jul 28th 2018 Richmond Stonewalled
114 Cockfight Win 11-8 1129.08 Jul 28th 2018 Richmond Stonewalled
135 Helots** Win 11-4 1186.33 Ignored Jul 28th 2018 Richmond Stonewalled
33 Richmond Floodwall Loss 4-13 743.56 Jul 29th 2018 Richmond Stonewalled
76 Slag Dump Loss 8-13 494.73 Jul 29th 2018 Richmond Stonewalled
42 CITYWIDE Special Win 10-9 1390.19 Aug 11th Chesapeake Open 2018
30 Garden State Ultimate Loss 10-13 1022.41 Aug 11th Chesapeake Open 2018
25 Medicine Men Win 11-9 1654.79 Aug 11th Chesapeake Open 2018
50 Colt Win 11-8 1578.47 Aug 11th Chesapeake Open 2018
33 Richmond Floodwall Loss 7-12 823.05 Aug 12th Chesapeake Open 2018
54 Blueprint Win 10-8 1421.35 Aug 12th Chesapeake Open 2018
34 Lost Boys Win 13-10 1637.33 Aug 12th Chesapeake Open 2018
33 Richmond Floodwall Loss 10-11 1218.56 Sep 8th Capital Mens Sectional Championship 2018
169 Bearfest** Win 11-1 634.92 Ignored Sep 8th Capital Mens Sectional Championship 2018
- BLUD** Win 11-3 696.45 Ignored Sep 8th Capital Mens Sectional Championship 2018
125 Town Hall Stars Win 11-2 1273.51 Sep 8th Capital Mens Sectional Championship 2018
68 John Doe Win 11-7 1506.09 Sep 9th Capital Mens Sectional Championship 2018
25 Medicine Men Loss 8-9 1280.58 Sep 9th Capital Mens Sectional Championship 2018
33 Richmond Floodwall Loss 11-13 1114.72 Sep 22nd Mid Atlantic Mens Regional Championship 2018
118 Adelphos Win 13-6 1318.38 Sep 22nd Mid Atlantic Mens Regional Championship 2018
109 JAWN Win 13-5 1369.86 Sep 22nd Mid Atlantic Mens Regional Championship 2018
20 Patrol Loss 10-13 1212.56 Sep 22nd Mid Atlantic Mens Regional Championship 2018
58 Rumspringa Loss 12-15 798.03 Sep 23rd Mid Atlantic Mens Regional Championship 2018
109 JAWN Win 15-13 984.04 Sep 23rd Mid Atlantic Mens Regional Championship 2018
**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)