#22 Tabby Rosa (13-4)

avg: 1557.69  •  sd: 67.79  •  top 16/20: 0.1%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
26 Virginia Rebellion Win 13-6 2047.7 Jun 15th ATL Classic 2019
57 Outbreak** Win 13-5 1464.36 Ignored Jun 15th ATL Classic 2019
50 Taco Truck Win 12-7 1574.5 Jun 15th ATL Classic 2019
78 cATLanta** Win 13-2 1009.48 Ignored Jun 15th ATL Classic 2019
26 Virginia Rebellion Win 9-6 1866.27 Jun 16th ATL Classic 2019
61 Red Hot Ultimate** Win 13-1 1370.23 Ignored Jun 16th ATL Classic 2019
45 Queen Cake Win 12-5 1716.99 Jun 16th ATL Classic 2019
18 Underground Loss 6-13 1096.48 Jul 27th TCT Select Flight Invite East 2019
19 BENT Loss 9-13 1274.98 Jul 27th TCT Select Flight Invite East 2019
55 Dish Win 13-10 1203.82 Jul 27th TCT Select Flight Invite East 2019
27 Elevate Win 12-10 1671.67 Jul 27th TCT Select Flight Invite East 2019
11 Siege Loss 8-13 1417.53 Jul 28th TCT Select Flight Invite East 2019
20 Pop Loss 11-12 1508.37 Jul 28th TCT Select Flight Invite East 2019
24 Salty Win 13-8 1959.86 Jul 28th TCT Select Flight Invite East 2019
51 Fiasco Win 10-6 1520.02 Sep 7th Florida Womens Club Sectional Championship 2019
51 Fiasco Win 10-4 1623.87 Sep 7th Florida Womens Club Sectional Championship 2019
51 Fiasco Win 12-6 1603.18 Sep 7th Florida Womens 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)