#207 Florida-B (16-6)

avg: 920.75  •  sd: 73.99  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
292 Central Florida-B Win 13-5 1207.04 Feb 16th Warm Up A Florida Affair 2018
309 Embry-Riddle (Florida) Win 13-2 1157.4 Feb 16th Warm Up A Florida Affair 2018
230 Florida State-B Win 11-7 1295.06 Feb 16th Warm Up A Florida Affair 2018
410 Florida Tech-B Win 13-6 525.76 Feb 16th Warm Up A Florida Affair 2018
359 Northwestern-B Win 13-4 944.69 Feb 17th Warm Up A Florida Affair 2018
367 Florida Atlantic Win 13-6 915.73 Feb 17th Warm Up A Florida Affair 2018
180 Pittsburgh-B Win 13-10 1340.03 Feb 18th Warm Up A Florida Affair 2018
216 North Florida Win 14-10 1296.3 Feb 18th Warm Up A Florida Affair 2018
248 North Georgia Loss 9-13 355.76 Mar 10th Tally Classic XIII
399 Florida Polytechnic University Win 15-8 619.65 Mar 10th Tally Classic XIII
410 Florida Tech-B** Win 13-2 525.76 Ignored Mar 10th Tally Classic XIII
376 Tulane-B** Win 13-5 878 Ignored Mar 10th Tally Classic XIII
295 Georgia Tech-B Loss 6-11 49.9 Mar 10th Tally Classic XIII
370 Notre Dame-B** Win 15-6 897.36 Ignored Mar 11th Tally Classic XIII
340 Stetson Win 15-10 864.24 Mar 11th Tally Classic XIII
150 North Carolina-Asheville Win 13-10 1459.22 Mar 17th College Southerns 2018
201 Wisconsin-Eau Claire Loss 12-13 807.63 Mar 17th College Southerns 2018
69 Carleton College-GoP Loss 5-13 849.46 Mar 17th College Southerns 2018
273 Wake Forest Win 13-6 1301.68 Mar 17th College Southerns 2018
248 North Georgia Win 11-8 1139.94 Mar 18th College Southerns 2018
75 Tennessee-Chattanooga Loss 5-13 815.67 Mar 18th College Southerns 2018
201 Wisconsin-Eau Claire Loss 9-11 683.43 Mar 18th College Southerns 2018
**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)