#292 Central Florida-B (7-8)

avg: 607.04  •  sd: 61.01  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
180 Pittsburgh-B Loss 6-13 411.89 Feb 16th Warm Up A Florida Affair 2018
359 Northwestern-B Win 13-0 944.69 Feb 16th Warm Up A Florida Affair 2018
230 Florida State-B Loss 6-7 703.17 Feb 16th Warm Up A Florida Affair 2018
207 Florida-B Loss 5-13 320.75 Feb 16th Warm Up A Florida Affair 2018
410 Florida Tech-B** Win 13-4 525.76 Ignored Feb 17th Warm Up A Florida Affair 2018
309 Embry-Riddle (Florida) Win 11-8 923.01 Feb 17th Warm Up A Florida Affair 2018
216 North Florida Loss 8-15 332.79 Feb 18th Warm Up A Florida Affair 2018
367 Florida Atlantic Win 15-7 915.73 Feb 18th Warm Up A Florida Affair 2018
383 Indiana-B Win 13-6 811.77 Mar 10th Tally Classic XIII
248 North Georgia Loss 9-13 355.76 Mar 10th Tally Classic XIII
370 Notre Dame-B Win 13-4 897.36 Mar 10th Tally Classic XIII
399 Florida Polytechnic University Win 13-2 654.84 Mar 10th Tally Classic XIII
185 Georgia-B Loss 9-13 565.39 Mar 10th Tally Classic XIII
309 Embry-Riddle (Florida) Loss 10-12 319.27 Mar 11th Tally Classic XIII
315 Florida Gulf Coast Loss 14-15 404.28 Mar 11th Tally Classic XIII
**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)