#195 Miami (Ohio) (10-2)

avg: 846.65  •  sd: 74.68  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
303 Ball State Win 13-4 964.79 Mar 1st The Dayton Ultimate Disc Experience DUDE
317 Case Western Reserve-B Win 13-1 877.41 Mar 1st The Dayton Ultimate Disc Experience DUDE
360 Dayton-B** Win 13-2 605.95 Ignored Mar 1st The Dayton Ultimate Disc Experience DUDE
371 SUNY-Buffalo-B** Win 11-2 522.88 Ignored Mar 1st The Dayton Ultimate Disc Experience DUDE
300 Cincinnati -B Win 13-8 873.14 Mar 2nd The Dayton Ultimate Disc Experience DUDE
146 Dayton Loss 10-14 657.08 Mar 2nd The Dayton Ultimate Disc Experience DUDE
251 Wooster Win 15-9 1120.45 Mar 2nd The Dayton Ultimate Disc Experience DUDE
210 Kent State Win 7-6 883.34 Mar 15th Spring Spook
315 Wright State Win 11-7 757.63 Mar 15th Spring Spook
200 Akron Loss 7-13 255.59 Mar 16th Spring Spook
315 Wright State Win 12-6 870.05 Mar 16th Spring Spook
243 Toledo Win 15-4 1239.93 Mar 16th Spring Spook
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)