#97 Lehigh (15-17)

avg: 1090.28  •  sd: 62.02  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
36 Haverford/Bryn Mawr Win 7-5 1947.19 Feb 22nd Bring The Huckus 2025
94 Ithaca Loss 7-8 969.08 Feb 22nd Bring The Huckus 2025
39 Wesleyan Loss 2-12 987.33 Feb 22nd Bring The Huckus 2025
162 SUNY-Geneseo Win 9-3 1246.31 Feb 22nd Bring The Huckus 2025
36 Haverford/Bryn Mawr Loss 4-10 1019.05 Feb 23rd Bring The Huckus 2025
118 Swarthmore Win 8-7 1064.23 Feb 23rd Bring The Huckus 2025
162 SUNY-Geneseo Win 10-7 1035.97 Feb 23rd Bring The Huckus 2025
168 Delaware Loss 3-4 484.22 Mar 1st Cherry Blossom Classic 2025
179 George Mason Win 5-3 962.35 Mar 1st Cherry Blossom Classic 2025
90 SUNY-Buffalo Loss 5-6 991.34 Mar 1st Cherry Blossom Classic 2025
112 SUNY-Binghamton Win 6-5 1095.18 Mar 1st Cherry Blossom Classic 2025
141 Catholic Loss 2-7 134.02 Mar 2nd Cherry Blossom Classic 2025
230 Johns Hopkins Win 9-4 755.69 Mar 2nd Cherry Blossom Classic 2025
169 Miami (Florida) Win 9-5 1138.1 Mar 2nd Cherry Blossom Classic 2025
39 Wesleyan Loss 6-9 1168.76 Mar 29th East Coast Invite 2025
109 Temple Loss 7-9 742.35 Mar 29th East Coast Invite 2025
75 Mount Holyoke Loss 6-10 726.64 Mar 29th East Coast Invite 2025
24 Minnesota** Loss 2-15 1223.12 Ignored Mar 29th East Coast Invite 2025
76 Columbia Loss 7-9 940.11 Mar 30th East Coast Invite 2025
103 Yale Win 12-6 1620.33 Mar 30th East Coast Invite 2025
25 Northeastern** Loss 1-8 1202.53 Ignored Mar 30th East Coast Invite 2025
170 Grove City Win 13-1 1208.61 Apr 12th Pennsylvania D III Womens Conferences 2025
118 Swarthmore Win 7-4 1435.39 Apr 12th Pennsylvania D III Womens Conferences 2025
100 Scranton Loss 7-10 668.68 Apr 13th Pennsylvania D III Womens Conferences 2025
118 Swarthmore Loss 6-7 814.23 Apr 13th Pennsylvania D III Womens Conferences 2025
115 Cedarville Win 12-7 1467.59 Apr 26th Ohio Valley D III College Womens Regionals 2025
36 Haverford/Bryn Mawr Loss 6-11 1072.36 Apr 26th Ohio Valley D III College Womens Regionals 2025
49 Kenyon Loss 4-14 898.8 Apr 26th Ohio Valley D III College Womens Regionals 2025
199 Oberlin** Win 15-2 1040.83 Ignored Apr 26th Ohio Valley D III College Womens Regionals 2025
115 Cedarville Win 13-6 1547.08 Apr 27th Ohio Valley D III College Womens Regionals 2025
49 Kenyon Loss 7-14 915.91 Apr 27th Ohio Valley D III College Womens Regionals 2025
100 Scranton Win 14-5 1658.34 Apr 27th Ohio Valley D III College Womens Regionals 2025
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)