#263 SlipStream (4-16)

avg: 335.55  •  sd: 69.55  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
182 Rocket LawnChair Loss 1-11 169.7 Jul 6th Motown Throwdown 2019
214 Stackcats Loss 6-11 90.56 Jul 6th Motown Throwdown 2019
249 Second Wind Loss 4-11 -177.18 Jul 6th Motown Throwdown 2019
231 Buffalo Brain Freeze Loss 6-10 14.95 Jul 7th Motown Throwdown 2019
213 Mastodon Loss 9-10 520.52 Jul 7th Motown Throwdown 2019
236 Skyhawks Loss 4-13 -116.07 Jul 7th Motown Throwdown 2019
289 Taco Cat Loss 8-10 -295.58 Jul 7th Motown Throwdown 2019
73 Petey's Pirates** Loss 5-13 674.68 Ignored Aug 24th Indy Invite Club 2019
170 Thunderpants the Magic Dragon Loss 8-13 311.02 Aug 24th Indy Invite Club 2019
251 Mishigami Win 12-8 857.35 Aug 24th Indy Invite Club 2019
196 Petey's Scallywags Loss 9-12 355.35 Aug 25th Indy Invite Club 2019
135 Los Heros Loss 8-15 446.27 Aug 25th Indy Invite Club 2019
251 Mishigami Win 12-9 761.56 Aug 25th Indy Invite Club 2019
172 Prion Loss 8-13 302.98 Sep 7th Central Plains Mixed Club Sectional Championship 2019
139 Tequila Mockingbird Loss 7-13 427.86 Sep 7th Central Plains Mixed Club Sectional Championship 2019
118 Stripes** Loss 3-13 494.29 Ignored Sep 7th Central Plains Mixed Club Sectional Championship 2019
214 Stackcats Win 12-11 762.26 Sep 7th Central Plains Mixed Club Sectional Championship 2019
277 Indiana Pterodactyl Attack Win 15-14 348.31 Sep 8th Central Plains Mixed Club Sectional Championship 2019
236 Skyhawks Loss 14-15 358.93 Sep 8th Central Plains Mixed Club Sectional Championship 2019
214 Stackcats Loss 9-15 121.78 Sep 8th Central Plains 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)