#16 Love Tractor (25-13)

avg: 1727.51  •  sd: 57.76  •  top 16/20: 69.8%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
50 Cutthroat Win 13-5 2016.57 Jun 22nd Fort Collins Summer Solstice 2019
114 Mixed Signals** Win 13-5 1660.51 Ignored Jun 22nd Fort Collins Summer Solstice 2019
22 MOONDOG Win 9-7 1951.53 Jun 22nd Fort Collins Summer Solstice 2019
46 Mesteño Win 11-7 1911.18 Jun 22nd Fort Collins Summer Solstice 2019
52 Woodwork Win 14-9 1871.1 Jun 23rd Fort Collins Summer Solstice 2019
6 shame. Loss 13-15 1713.83 Jun 23rd Fort Collins Summer Solstice 2019
41 Jughandle Win 13-3 2063.84 Jul 13th TCT Pro Elite Challenge 2019
1 Seattle Mixtape Loss 11-13 1842.57 Jul 13th TCT Pro Elite Challenge 2019
17 Polar Bears Win 13-10 2037.78 Jul 13th TCT Pro Elite Challenge 2019
5 BFG Win 13-10 2283.29 Jul 14th TCT Pro Elite Challenge 2019
9 Blackbird Win 13-12 1950.7 Jul 14th TCT Pro Elite Challenge 2019
8 Slow White Win 12-10 2068.57 Jul 14th TCT Pro Elite Challenge 2019
1 Seattle Mixtape Loss 9-13 1652.84 Jul 14th TCT Pro Elite Challenge 2019
28 No Touching! Win 13-12 1756.52 Aug 17th TCT Elite Select Challenge 2019
34 XIST Loss 9-13 1111.67 Aug 17th TCT Elite Select Challenge 2019
20 Weird Loss 7-14 1098.56 Aug 17th TCT Elite Select Challenge 2019
31 NOISE Loss 7-8 1463.38 Aug 18th TCT Elite Select Challenge 2019
34 XIST Win 10-9 1655.24 Aug 18th TCT Elite Select Challenge 2019
13 Toro Loss 6-8 1467.59 Aug 18th TCT Elite Select Challenge 2019
34 XIST Win 14-10 1928.94 Aug 31st TCT Pro Championships 2019
2 Drag'n Thrust Loss 11-13 1807.81 Aug 31st TCT Pro Championships 2019
10 Space Heater Loss 10-12 1578.31 Aug 31st TCT Pro Championships 2019
8 Slow White Loss 10-14 1431.75 Aug 31st TCT Pro Championships 2019
2 Drag'n Thrust Loss 12-15 1736.16 Sep 1st TCT Pro Championships 2019
6 shame. Win 15-10 2381.61 Sep 1st TCT Pro Championships 2019
99 Ouzel Win 11-9 1367.4 Sep 6th Rocky Mountain Mixed Club Sectional Championship 2019
238 EDM** Win 11-3 1030.19 Ignored Sep 7th Rocky Mountain Mixed Club Sectional Championship 2019
188 The Strangers** Win 11-0 1273.76 Ignored Sep 7th Rocky Mountain Mixed Club Sectional Championship 2019
114 Mixed Signals** Win 11-4 1660.51 Ignored Sep 7th Rocky Mountain Mixed Club Sectional Championship 2019
59 Flight Club Win 11-6 1857.26 Sep 8th Rocky Mountain Mixed Club Sectional Championship 2019
46 Mesteño Win 11-7 1911.18 Sep 8th Rocky Mountain Mixed Club Sectional Championship 2019
81 Bexar Win 13-4 1794.58 Sep 21st South Central Club Mixed Regional Championship 2019
159 Tex Mix** Win 13-5 1436.22 Ignored Sep 21st South Central Club Mixed Regional Championship 2019
99 Ouzel Win 13-7 1675.72 Sep 21st South Central Club Mixed Regional Championship 2019
14 Public Enemy Loss 9-13 1341.34 Sep 21st South Central Club Mixed Regional Championship 2019
59 Flight Club Win 13-3 1910.57 Sep 22nd South Central Club Mixed Regional Championship 2019
46 Mesteño Win 12-9 1789.65 Sep 22nd South Central Club Mixed Regional Championship 2019
6 shame. Loss 6-11 1381.31 Sep 22nd South Central Club Mixed 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)