#33 Hybrid (20-4)

avg: 1600.57  •  sd: 72.7  •  top 16/20: 0.3%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
196 Petey's Scallywags Win 11-5 1300.71 Jul 6th Motown Throwdown 2019
155 Goose Lee Win 11-7 1380.1 Jul 6th Motown Throwdown 2019
151 Buffalo Lake Effect Win 8-6 1223.58 Jul 7th Motown Throwdown 2019
257 Derby City Thunder** Win 13-1 977.02 Ignored Jul 7th Motown Throwdown 2019
214 Stackcats Win 13-9 1055.82 Jul 7th Motown Throwdown 2019
58 Toast Win 12-7 1905.59 Jul 7th Motown Throwdown 2019
25 Alloy Win 12-10 1947.89 Jul 27th TCT Select Flight Invite East 2019
67 American Barbecue Win 13-7 1886.95 Jul 27th TCT Select Flight Invite East 2019
19 The Chad Larson Experience Win 13-10 2087.87 Jul 27th TCT Select Flight Invite East 2019
21 Bucket Loss 11-12 1598.21 Jul 28th TCT Select Flight Invite East 2019
17 Steamboat Loss 12-13 1652.25 Jul 28th TCT Select Flight Invite East 2019
42 Woodwork Loss 9-12 1184.45 Jul 28th TCT Select Flight Invite East 2019
71 Northern Comfort Win 13-9 1701.32 Aug 17th Cooler Classic 31
93 PanIC Win 13-7 1742.22 Aug 17th Cooler Classic 31
42 Woodwork Win 13-6 2129.81 Aug 17th Cooler Classic 31
118 Stripes Win 10-5 1668.19 Aug 18th Cooler Classic 31
58 Toast Win 10-4 1985.08 Aug 18th Cooler Classic 31
42 Woodwork Win 9-7 1809.15 Aug 18th Cooler Classic 31
196 Petey's Scallywags Win 15-13 914.89 Sep 7th East Plains Mixed Club Sectional Championship 2019
187 Pixel** Win 13-3 1340.96 Ignored Sep 7th East Plains Mixed Club Sectional Championship 2019
205 Pi+** Win 13-3 1276.21 Ignored Sep 7th East Plains Mixed Club Sectional Championship 2019
170 Thunderpants the Magic Dragon** Win 13-3 1407.18 Ignored Sep 7th East Plains Mixed Club Sectional Championship 2019
73 Petey's Pirates Win 15-11 1655.85 Sep 8th East Plains Mixed Club Sectional Championship 2019
58 Toast Loss 14-16 1176.79 Sep 8th East Plains Mixed 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)