#10 Rhino Slam! (17-10)

avg: 2085.8  •  sd: 40.18  •  top 16/20: 100%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
65 Sawtooth** Win 13-4 2043.15 Ignored Jun 24th Summer Solstice 2023
58 Skipjack Win 13-3 2090.71 Jun 24th Summer Solstice 2023
18 Dark Star-D Win 13-9 2301.86 Jun 24th Summer Solstice 2023
60 Switchback** Win 13-5 2075.77 Ignored Jun 25th Summer Solstice 2023
11 Furious George Loss 8-9 1932.44 Jun 25th Summer Solstice 2023
14 Sockeye Loss 11-12 1874.88 Jun 25th Summer Solstice 2023
48 Alamode Win 15-9 2072.42 Jul 8th TCT Pro Elite Challenge West 2023
57 Fungi Win 15-10 1946.14 Jul 8th TCT Pro Elite Challenge West 2023
4 Chain Lightning Win 14-13 2336.89 Jul 8th TCT Pro Elite Challenge West 2023
18 Dark Star-D Win 15-10 2336.89 Jul 9th TCT Pro Elite Challenge West 2023
22 SoCal Condors Loss 10-11 1727.4 Jul 9th TCT Pro Elite Challenge West 2023
15 GOAT Win 15-11 2353.44 Jul 9th TCT Pro Elite Challenge West 2023
7 DiG Loss 14-15 2042.51 Aug 4th 2023 US Open Club Championships ICC
8 Johnny Bravo Loss 12-15 1812.28 Aug 5th 2023 US Open Club Championships ICC
3 Revolver Loss 11-15 1864.13 Aug 6th 2023 US Open Club Championships ICC
5 Chicago Machine Loss 12-13 2064.71 Sep 2nd TCT Pro Championships 2023
9 Doublewide Win 14-13 2231.81 Sep 2nd TCT Pro Championships 2023
1 Truck Stop Loss 11-15 2118.06 Sep 2nd TCT Pro Championships 2023
6 Ring of Fire Loss 9-13 1762.09 Sep 2nd TCT Pro Championships 2023
8 Johnny Bravo Loss 9-15 1597.29 Sep 3rd TCT Pro Championships 2023
13 Vault Win 15-12 2304.85 Sep 4th TCT Pro Championships 2023
81 Surf Win 15-7 1949.97 Sep 23rd 2023 Northwest Mens Regional Championship
60 Switchback Win 15-7 2075.77 Sep 23rd 2023 Northwest Mens Regional Championship
18 Dark Star-D Win 15-8 2448.1 Sep 23rd 2023 Northwest Mens Regional Championship
99 SOUF Win 15-7 1855.01 Sep 24th 2023 Northwest Mens Regional Championship
14 Sockeye Win 15-9 2515.36 Sep 24th 2023 Northwest Mens Regional Championship
18 Dark Star-D Win 15-10 2336.89 Sep 24th 2023 Northwest Mens Regional Championship
**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)