#267 SUNY-Fredonia (9-6)

avg: 787.71  •  sd: 70.53  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
126 New Hampshire Loss 7-12 754.91 Mar 9th Mash Up 2019
310 Campbell Loss 8-10 365.52 Mar 9th Mash Up 2019
64 Ohio** Loss 3-13 939.4 Ignored Mar 9th Mash Up 2019
135 University of Pittsburgh-B Loss 5-10 669.14 Mar 9th Mash Up 2019
304 Rhode Island Win 10-9 769.91 Mar 10th Mash Up 2019
310 Campbell Win 10-7 1017.85 Mar 10th Mash Up 2019
339 Allegheny Win 11-8 899.05 Mar 30th Fredonia Round Robin 2019
339 Allegheny Loss 9-11 284.24 Mar 30th Fredonia Round Robin 2019
339 Allegheny Loss 10-11 408.44 Mar 30th Fredonia Round Robin 2019
339 Allegheny Win 11-7 1000.34 Mar 30th Fredonia Round Robin 2019
339 Allegheny Win 11-8 899.05 Mar 30th Fredonia Round Robin 2019
339 Allegheny Win 10-4 1133.44 Mar 31st Fredonia Round Robin 2019
373 Edinboro Win 8-5 813.83 Mar 31st Fredonia Round Robin 2019
252 SUNY-Cortland Win 9-6 1263.85 Mar 31st Fredonia Round Robin 2019
- SUNY-Cortland-B** Win 13-1 600 Ignored Mar 31st Fredonia Round Robin 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)