#15 Toro (29-10)

avg: 1760.64  •  sd: 64.95  •  top 16/20: 46.7%

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# Opponent Result Game Rating Status Date Event
60 NC Galaxy Win 12-9 1642.91 Jun 23rd Summer Glazed Daze 2018
98 Cahoots** Win 13-3 1722.01 Ignored Jun 23rd Summer Glazed Daze 2018
126 American Hyperbole** Win 13-3 1582.26 Ignored Jun 23rd Summer Glazed Daze 2018
149 Crucible** Win 13-3 1479.71 Ignored Jun 23rd Summer Glazed Daze 2018
60 NC Galaxy Win 11-4 1897.55 Jun 24th Summer Glazed Daze 2018
100 FlyTrap Win 15-12 1414.86 Jun 24th Summer Glazed Daze 2018
192 RnB** Win 13-5 1218.78 Ignored Jun 24th Summer Glazed Daze 2018
18 Loco Loss 12-15 1433.91 Jun 24th Summer Glazed Daze 2018
9 Wild Card Loss 8-13 1377.49 Jul 7th TCT Pro Elite Challenge 2018
26 Alloy Win 11-9 1838.56 Jul 7th TCT Pro Elite Challenge 2018
16 NOISE Win 14-12 1964.14 Jul 7th TCT Pro Elite Challenge 2018
9 Wild Card Win 12-11 1998.65 Jul 8th TCT Pro Elite Challenge 2018
13 Birdfruit Win 13-11 2008.13 Jul 8th TCT Pro Elite Challenge 2018
8 Love Tractor Loss 11-12 1754.16 Jul 8th TCT Pro Elite Challenge 2018
16 NOISE Win 13-5 2343.18 Jul 8th TCT Pro Elite Challenge 2018
38 Columbus Cocktails Win 13-7 2057.83 Aug 18th TCT Elite Select Challenge 2018
12 Mischief Loss 12-14 1563.4 Aug 18th TCT Elite Select Challenge 2018
17 Polar Bears Win 12-10 1977.81 Aug 18th TCT Elite Select Challenge 2018
19 Bucket Loss 12-13 1580.23 Aug 19th TCT Elite Select Challenge 2018
16 NOISE Loss 8-13 1247.02 Aug 19th TCT Elite Select Challenge 2018
60 NC Galaxy Win 12-10 1535.67 Sep 8th North Carolina Mixed Sectional Championship 2018
100 FlyTrap** Win 11-2 1714.37 Ignored Sep 8th North Carolina Mixed Sectional Championship 2018
- TAU Win 11-6 1457.33 Sep 8th North Carolina Mixed Sectional Championship 2018
78 Malice in Wonderland Win 11-6 1790.23 Sep 8th North Carolina Mixed Sectional Championship 2018
60 NC Galaxy Win 13-11 1526.39 Sep 9th North Carolina Mixed Sectional Championship 2018
41 Storm Loss 11-13 1250.32 Sep 9th North Carolina Mixed Sectional Championship 2018
90 Mutiny Win 13-3 1765.68 Sep 22nd Southeast Mixed Regional Championship 2018
122 Huntsville Outlaws Win 13-8 1512.88 Sep 22nd Southeast Mixed Regional Championship 2018
41 Storm Win 13-7 2036.69 Sep 22nd Southeast Mixed Regional Championship 2018
27 Weird Win 15-9 2093.33 Sep 23rd Southeast Mixed Regional Championship 2018
82 Method Win 13-5 1832.62 Sep 23rd Southeast Mixed Regional Championship 2018
19 Bucket Win 14-12 1926.19 Sep 23rd Southeast Mixed Regional Championship 2018
7 Blackbird Win 13-10 2219.82 Oct 18th USA Ultimate National Championships 2018
1 AMP Loss 8-15 1589.08 Oct 18th USA Ultimate National Championships 2018
20 No Touching! Loss 12-13 1556.38 Oct 18th USA Ultimate National Championships 2018
38 Columbus Cocktails Win 16-14 1708.59 Oct 19th USA Ultimate National Championships 2018
20 No Touching! Win 15-10 2134.99 Oct 19th USA Ultimate National Championships 2018
10 shame. Loss 12-13 1719.73 Oct 19th USA Ultimate National Championships 2018
30 Jughandle Win 14-11 1870.69 Oct 20th USA Ultimate National Championships 2018
**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)