#36 Seattle Soul (22-14)

avg: 1228.88  •  sd: 57.69  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
69 Trash. Win 13-4 1256.13 Jun 22nd Eugene Summer Solstice 2019
59 Portland Ivy Win 9-5 1352.72 Jun 22nd Eugene Summer Solstice 2019
47 Korra Loss 8-9 910.03 Jun 22nd Eugene Summer Solstice 2019
89 Tempo** Win 13-1 834.07 Ignored Jun 22nd Eugene Summer Solstice 2019
69 Trash. Win 13-5 1256.13 Jun 23rd Eugene Summer Solstice 2019
59 Portland Ivy Win 10-4 1423.66 Jun 23rd Eugene Summer Solstice 2019
77 Throwback** Win 13-3 965.21 Ignored Jun 23rd Eugene Summer Solstice 2019
49 Fiasco Win 15-9 1540.59 Jul 13th TCT Select Flight Invite West 2019
97 Maeve** Win 15-3 505.4 Ignored Jul 13th TCT Select Flight Invite West 2019
9 Traffic** Loss 1-13 1363.67 Ignored Jul 14th TCT Select Flight Invite West 2019
39 Pine Baroness Win 12-9 1526.58 Jul 14th TCT Select Flight Invite West 2019
42 Rampage Win 11-9 1374.83 Jul 14th TCT Select Flight Invite West 2019
56 Outbreak Win 13-7 1407.37 Jul 14th TCT Select Flight Invite West 2019
59 Portland Ivy Win 8-2 1423.66 Aug 4th Seattle Round Robin 2019
22 LOL Win 8-6 1829.65 Aug 4th Seattle Round Robin 2019
22 LOL Loss 7-10 1139.5 Aug 4th Seattle Round Robin 2019
87 Sizzle Win 9-6 685.39 Aug 4th Seattle Round Robin 2019
76 Viva** Win 13-4 1139.64 Ignored Aug 24th Ski Town Classic 2019
50 Crush City Loss 9-12 653.94 Aug 24th Ski Town Classic 2019
46 Queen Cake Loss 10-11 945.96 Aug 24th Ski Town Classic 2019
85 Seven Devils** Win 13-4 892.68 Ignored Aug 24th Ski Town Classic 2019
49 Fiasco Win 10-8 1287.77 Aug 25th Ski Town Classic 2019
46 Queen Cake Win 11-10 1195.96 Aug 25th Ski Town Classic 2019
42 Rampage Win 11-10 1250.62 Aug 25th Ski Town Classic 2019
9 Traffic** Loss 5-13 1363.67 Ignored Sep 7th Washington Womens Club Sectional Championship 2019
59 Portland Ivy Win 8-0 1423.66 Sep 7th Washington Womens Club Sectional Championship 2019
26 Sneaky House Hippos Loss 11-13 1192.89 Sep 7th Washington Womens Club Sectional Championship 2019
87 Sizzle** Win 13-0 866.82 Ignored Sep 7th Washington Womens Club Sectional Championship 2019
19 Underground Loss 4-13 1061.27 Sep 8th Washington Womens Club Sectional Championship 2019
75 Koi** Win 13-4 1153.67 Ignored Sep 8th Washington Womens Club Sectional Championship 2019
9 Traffic** Loss 3-13 1363.67 Ignored Sep 21st Northwest Club Womens Regional Championship 2019
24 Elevate Loss 10-11 1339.37 Sep 21st Northwest Club Womens Regional Championship 2019
8 Schwa** Loss 4-13 1396.44 Ignored Sep 21st Northwest Club Womens Regional Championship 2019
3 Seattle Riot Loss 6-13 1745.71 Sep 21st Northwest Club Womens Regional Championship 2019
19 Underground Loss 5-13 1061.27 Sep 22nd Northwest Club Womens Regional Championship 2019
26 Sneaky House Hippos Loss 5-11 821.74 Sep 22nd Northwest Club Womens Regional 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)