#373 Edinboro (3-13)

avg: 360.23  •  sd: 59.84  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
256 Georgia-B Loss 5-13 231.15 Feb 23rd Chucktown Throwdown XVI
108 North Carolina-Charlotte** Loss 3-13 725.07 Ignored Feb 23rd Chucktown Throwdown XVI
330 Wingate Loss 9-11 311.87 Feb 23rd Chucktown Throwdown XVI
257 Charleston Loss 8-12 389.18 Feb 23rd Chucktown Throwdown XVI
330 Wingate Loss 7-10 171.41 Feb 24th Chucktown Throwdown XVI
257 Charleston Loss 9-10 705.33 Feb 24th Chucktown Throwdown XVI
266 Penn State-B Loss 8-13 302.17 Mar 16th Squirrely Cuts Only 2018 DIIIB team tournament
182 Messiah Loss 8-11 677.23 Mar 16th Squirrely Cuts Only 2018 DIIIB team tournament
349 William & Mary-B Loss 4-9 -114.55 Mar 16th Squirrely Cuts Only 2018 DIIIB team tournament
437 Towson -B Win 13-4 372.21 Mar 16th Squirrely Cuts Only 2018 DIIIB team tournament
279 Maryland-B Loss 9-14 284.22 Mar 17th Squirrely Cuts Only 2018 DIIIB team tournament
417 Georgetown-B Win 15-9 617.09 Mar 17th Squirrely Cuts Only 2018 DIIIB team tournament
349 William & Mary-B Win 15-13 699.63 Mar 17th Squirrely Cuts Only 2018 DIIIB team tournament
339 Allegheny Loss 5-8 79.84 Mar 31st Fredonia Round Robin 2019
267 SUNY-Fredonia Loss 5-8 334.1 Mar 31st Fredonia Round Robin 2019
252 SUNY-Cortland Loss 4-13 245.28 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)