#167 Possum (14-13)

avg: 836.1  •  sd: 51.72  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
195 Heavy Flow Win 11-9 950.87 Jun 22nd Summer Glazed Daze 2019
115 Rat City Loss 11-12 980.67 Jun 22nd Summer Glazed Daze 2019
265 ThunderCats Win 13-8 820.76 Jun 22nd Summer Glazed Daze 2019
191 LORD Win 13-7 1271.44 Jun 23rd Summer Glazed Daze 2019
153 Jackpot Loss 3-6 374.29 Jun 23rd Summer Glazed Daze 2019
242 RnB Win 13-4 1065.07 Jun 23rd Summer Glazed Daze 2019
103 Tyrannis Loss 8-13 663.87 Jun 23rd Summer Glazed Daze 2019
283 Craw Daddies Win 13-9 575.58 Jul 6th Huntsville Huckfest 2019
47 Huntsville Outlaws Loss 7-13 915.89 Jul 6th Huntsville Huckfest 2019
284 Mixed on the Rock Win 13-6 736.35 Jul 6th Huntsville Huckfest 2019
219 Memphis Hustle & Flow Loss 10-13 283.06 Jul 6th Huntsville Huckfest 2019
268 Orbit Win 13-6 898.04 Jul 7th Huntsville Huckfest 2019
174 Magic City Mayhem Win 13-2 1386.17 Jul 7th Huntsville Huckfest 2019
225 Monster Win 15-8 1147.71 Jul 7th Huntsville Huckfest 2019
89 FlyTrap Loss 2-13 600.71 Jul 13th Hometown Mix Up 2019
181 Piedmont United Loss 9-11 521.21 Jul 13th Hometown Mix Up 2019
119 Seoulmates Loss 10-12 851.42 Jul 13th Hometown Mix Up 2019
274 Rampage Win 13-4 853.59 Jul 13th Hometown Mix Up 2019
165 APEX Win 7-6 970.11 Jul 14th Hometown Mix Up 2019
242 RnB Win 13-7 1022.6 Jul 14th Hometown Mix Up 2019
38 Superlame** Loss 3-13 958.52 Ignored Jul 14th Hometown Mix Up 2019
119 Seoulmates Loss 5-13 489.54 Jul 14th Hometown Mix Up 2019
268 Orbit Win 13-4 898.04 Sep 7th East Coast Mixed Club Sectional Championship 2019
21 Bucket** Loss 1-17 1123.21 Ignored Sep 7th East Coast Mixed Club Sectional Championship 2019
113 sKNO cone Loss 9-17 541.66 Sep 7th East Coast Mixed Club Sectional Championship 2019
130 m'kay Ultimate Loss 11-13 803.31 Sep 8th East Coast Mixed Club Sectional Championship 2019
225 Monster Win 13-5 1182.9 Sep 8th East Coast 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)