#159 Rowdy (8-19)

avg: 900.64  •  sd: 50.17  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
15 Loco** Loss 4-13 1202.34 Ignored Jun 22nd Summer Glazed Daze 2019
40 Murmur Loss 8-13 1043.87 Jun 22nd Summer Glazed Daze 2019
111 NC Galaxy Win 10-9 1249.84 Jun 22nd Summer Glazed Daze 2019
57 8 Bit Heroes Loss 6-13 791.87 Jun 23rd Summer Glazed Daze 2019
27 Storm Loss 8-13 1156.89 Jun 23rd Summer Glazed Daze 2019
115 Rat City Loss 4-11 505.67 Jun 23rd Summer Glazed Daze 2019
165 APEX Win 10-9 970.11 Jul 13th Hometown Mix Up 2019
242 RnB Win 13-3 1065.07 Jul 13th Hometown Mix Up 2019
38 Superlame** Loss 5-12 958.52 Ignored Jul 13th Hometown Mix Up 2019
111 NC Galaxy Loss 8-11 759.23 Jul 13th Hometown Mix Up 2019
119 Seoulmates Win 10-8 1352.2 Jul 14th Hometown Mix Up 2019
38 Superlame** Loss 4-13 958.52 Ignored Jul 14th Hometown Mix Up 2019
111 NC Galaxy Win 7-5 1452.99 Jul 14th Hometown Mix Up 2019
75 Bexar Loss 6-13 673.51 Aug 10th HoDown ShowDown 23 GOAT
165 APEX Win 13-12 970.11 Aug 10th HoDown ShowDown 23 GOAT
105 Auburn HeyDay Loss 9-11 908.91 Aug 10th HoDown ShowDown 23 GOAT
55 Malice in Wonderland Loss 5-12 809.77 Aug 10th HoDown ShowDown 23 GOAT
164 BATL Cows Loss 10-14 457.5 Aug 11th HoDown ShowDown 23 GOAT
153 Jackpot Loss 7-9 641.65 Aug 11th HoDown ShowDown 23 GOAT
113 sKNO cone Loss 10-12 873.54 Aug 11th HoDown ShowDown 23 GOAT
175 Moonshine Loss 8-9 656.83 Aug 11th HoDown ShowDown 23 GOAT
27 Storm Loss 7-12 1132.54 Sep 7th North Carolina Mixed Club Sectional Championship 2019
265 ThunderCats Win 13-5 924.61 Sep 7th North Carolina Mixed Club Sectional Championship 2019
119 Seoulmates Win 10-8 1352.2 Sep 7th North Carolina Mixed Club Sectional Championship 2019
146 Too Much Fun Loss 9-10 807.87 Sep 7th North Carolina Mixed Club Sectional Championship 2019
89 FlyTrap Loss 8-11 835.1 Sep 8th North Carolina Mixed Club Sectional Championship 2019
111 NC Galaxy Loss 4-13 524.84 Sep 8th North Carolina 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)