#158 Lehigh (15-14)

avg: 1129.08  •  sd: 63.2  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
85 Richmond Loss 7-13 872.17 Feb 2nd Mid Atlantic Warmup 2019
151 SUNY-Binghamton Loss 9-13 743.58 Feb 2nd Mid Atlantic Warmup 2019
195 George Washington Win 12-11 1128.81 Feb 2nd Mid Atlantic Warmup 2019
197 George Mason Loss 12-13 876.39 Feb 2nd Mid Atlantic Warmup 2019
120 James Madison Loss 12-13 1157.8 Feb 3rd Mid Atlantic Warmup 2019
114 Liberty Win 15-8 1864.92 Feb 3rd Mid Atlantic Warmup 2019
166 Virginia Commonwealth Loss 10-15 638.22 Feb 3rd Mid Atlantic Warmup 2019
195 George Washington Loss 14-15 878.81 Feb 3rd Mid Atlantic Warmup 2019
301 Salisbury Win 13-3 1253.13 Feb 23rd Oak Creek Challenge 2019
292 Navy Win 13-6 1302.9 Feb 23rd Oak Creek Challenge 2019
84 Brandeis Loss 3-10 831.89 Feb 23rd Oak Creek Challenge 2019
174 Cedarville Loss 8-13 571.3 Feb 23rd Oak Creek Challenge 2019
248 Shippensburg Win 15-6 1466.33 Feb 24th Oak Creek Challenge 2019
278 Christopher Newport Win 15-11 1145.8 Feb 24th Oak Creek Challenge 2019
137 North Carolina-B Win 15-9 1748.64 Feb 24th Oak Creek Challenge 2019
391 John Carroll** Win 13-5 872.41 Ignored Mar 23rd CWRUL Memorial 2019
210 Rochester Win 9-8 1078.29 Mar 23rd CWRUL Memorial 2019
355 Northwestern-B** Win 13-3 1058.9 Ignored Mar 23rd CWRUL Memorial 2019
286 Toledo Win 13-2 1322.93 Mar 23rd CWRUL Memorial 2019
135 University of Pittsburgh-B Loss 11-15 861.87 Mar 24th CWRUL Memorial 2019
174 Cedarville Win 15-8 1632.26 Mar 24th CWRUL Memorial 2019
160 Vanderbilt Win 14-10 1523.08 Mar 24th CWRUL Memorial 2019
183 Oberlin Loss 11-13 813.12 Mar 24th CWRUL Memorial 2019
139 Pennsylvania Win 12-9 1575.04 Mar 30th Atlantic Coast Open 2019
35 Middlebury Loss 9-13 1307.93 Mar 30th Atlantic Coast Open 2019
137 North Carolina-B Loss 9-13 814.59 Mar 30th Atlantic Coast Open 2019
299 Towson Win 12-4 1282.65 Mar 30th Atlantic Coast Open 2019
83 Rutgers Loss 7-13 875.44 Mar 31st Atlantic Coast Open 2019
114 Liberty Loss 2-15 700.11 Mar 31st Atlantic Coast Open 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)