#46 Sparkle Ponies (15-7)

avg: 1490.21  •  sd: 58.16  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
72 Ant Madness Win 14-9 1750.17 Jul 13th Philly Invite 2019
126 Farm Show Win 13-7 1605.04 Jul 13th Philly Invite 2019
142 Philly Twist Win 15-7 1552.29 Jul 13th Philly Invite 2019
177 Unlimited Swipes Win 15-7 1380.86 Jul 13th Philly Invite 2019
72 Ant Madness Win 10-6 1772.46 Jul 14th Philly Invite 2019
15 Loco Loss 8-11 1436.73 Jul 14th Philly Invite 2019
115 Rat City Win 13-8 1601.83 Jul 14th Philly Invite 2019
25 Alloy Loss 9-12 1364.4 Aug 10th Chesapeake Open 2019
23 Rally Loss 3-13 1111.34 Aug 10th Chesapeake Open 2019
17 Steamboat Loss 6-13 1177.25 Aug 10th Chesapeake Open 2019
68 Metro North Win 11-7 1782.14 Aug 10th Chesapeake Open 2019
21 Bucket Loss 12-13 1598.21 Aug 11th Chesapeake Open 2019
56 Grand Army Win 14-12 1622.82 Aug 11th Chesapeake Open 2019
27 Storm Loss 9-14 1179.18 Aug 11th Chesapeake Open 2019
247 Pandatime** Win 13-1 1047.97 Ignored Sep 7th Capital Mixed Club Sectional Championship 2019
131 Legion Win 12-6 1608.96 Sep 7th Capital Mixed Club Sectional Championship 2019
136 Fireball Win 12-9 1346.52 Sep 7th Capital Mixed Club Sectional Championship 2019
237 Stormborn** Win 13-5 1081.64 Ignored Sep 7th Capital Mixed Club Sectional Championship 2019
57 8 Bit Heroes Loss 8-12 950.72 Sep 8th Capital Mixed Club Sectional Championship 2019
57 8 Bit Heroes Win 13-7 1949.4 Sep 8th Capital Mixed Club Sectional Championship 2019
72 Ant Madness Win 12-11 1401.3 Sep 8th Capital Mixed Club Sectional Championship 2019
90 Fleet Win 13-7 1754.67 Sep 8th Capital 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)