Connecticut Girls Composite Team Scores Rankings

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Find out who our data based ranking system projects in the preseason as the top returning girls cross country squads in the state of Connecticut.

RankTeamScoreHighestLowestWeakness
1Danbury High School (CT)2.44195000m 1-3 Gap (29.02)
2Trumbull High School (CT)4.842155000m 1-3 Gap (1:00.40)
3Immaculate High School (CT)61325000m 1-2 Gap (1:02.42)
4Glastonbury High School (CT)9.575255000m 1-3 Gap (1:25.79)
5Greenwich High School (CT)11.15395000m 1-2 Gap (1:12.83)
6Rham High School (CT)11.61215000m 1-4 Gap (1:52.60)
7Fairfield Ludlowe (CT)11.95415000m 1-2 Gap (1:28.50)
8William Hall High School (CT)12.63385000m 1-2 Gap (1:12.20)
9Old Saybrook High School (CT)134375000m 1-5 Gap (3:22.20)
10Shelton High School (CT)144175000m 1-4 Average (21:14.75)
11Simsbury High School (CT)149285000m 1-2 Gap (47.39)
12Guilford High School (CT)14.55455000m 1-5 Gap (4:05.35)
13Newtown High School (CT)1611275000m 1-4 Gap (2:10.97)
14Southington High School (CT)16.712221600m 1-4 Average (5:49.06)
15Nonnewaug High School (CT)19.09331600m 1-4 Average (6:03.74)
16E.O. Smith High School (CT)19.812445000m 1-3 Gap (2:45.16)
17Wilton High School (CT)20.17275000m 1-4 Average (21:30.75)
18Avon High School (CT)20.47425000m 1-2 Gap (1:28.90)
19Darien High School (CT)21.91475000m 1-5 Average (22:33.60)
20New Milford High School (CT)23.26435000m 1-5 Gap (3:48.80)
21Cheshire High School (CT)25.58441600m Top 4
22Hamden High School (CT)26.317345000m 1-5 Average (22:14.40)
23Pomperaug (CT)26.32405000m 1-2 Gap (1:26.78), Not Enough Data
24Tolland High School (CT)26.58361600m 1-4 Average (6:07.86)
25The Westover School (CT)26.73215000m 1-4 Average (21:18.75), Not Enough Data
26Manchester High School (CT)27.212505000m 1-3 Gap (3:25.93)
27Ellington High School (CT)27.617445000m 1-4 Gap (3:23.36)
28Daniel Hand High School (CT)29.95355000m 1-4 Average (21:51.29), Not Enough Data
29Fairfield Warde (CT)30.27481600m Top 4
30Derby High School (CT)30.41491600m Top 4
31Canton High School (CT)30.511485000m 1-5 Gap (4:50.79)
32New Canaan High School (CT)30.918485000m 1-5 Average (22:36.70)
33Rocky Hill High School (CT)31.620495000m 1-3 Gap (3:18.12)
34Suffield High School (CT)31.911455000m 1-4 Gap (3:28.28)
35Mercy High School (CT)32.77365000m 1-5 Gap (3:19.00), Not Enough Data
36Haddam-Killingworth (CT)33.221465000m 1-3 Gap (3:03.21)
37Berlin High School (CT)33.411435000m 1-3 Gap (2:40.14), Not Enough Data
38Norwich Free Academy (CT)3422485000m 1-4 Average (22:12.75), Not Enough Data
39Wethersfield High School (CT)36.210445000m Top 5, Not Enough Data
40Middletown High School (CT)4026501600m 1-4 Average (6:29.38), Not Enough Data
41Cromwell High School (CT)40.622505000m 1-5 Gap (5:34.40), Not Enough Data
42Hopkins School (CT)43.730505000m 1-4 Gap (4:21.00), Not Enough Data
43Shepaug Valley (CT)44.422475000m Top 5, Not Enough Data
44Granby High School (CT)46.332495000m 1-5 Average (22:38.29), Not Enough Data

What are composite team rankings?

A few years ago, MileSplit developed a data based number-cruncher system to rank cross country teams called "composite" team rankings. The rather complicated algorithm takes into account both cross country and track seasons, based on various categories and weights. It even indicates what the computer believes the biggest weakness is at this point.

Teams that did not have much of a track season or did not have at least four of their top distance runners out for track may see their scores drop. However, teams that busted it and looked great this past spring will show higher. Hopefully it is a good balance to predict who is strong coming in! It does not necessarily take into account any new freshman or transfers.

The score represents the team's weighted composite average rank across all categories. The highest column represents the highest ranking they received in a category, and conversely the lowest is the worst ranking they received in a category.

If you pull up the XC Team Scores page, you'll see a link to "Composite" scoring. This is a type of scoring that gives a team a rank on a number of different categories, with different weights on each:

  • XC 5K Team Rank (normal)
  • XC 5K 1-5 Split
  • XC 5K 1-5 Average
  • XC 5K 1-4 Rank (normal)
  • XC 5K 1-4 Split
  • XC 5K 1-4 Average
  • XC 5K 1-3 Split
  • XC 5K 1-2 Split
  • Outdoor 1600m Top 4 (normal)
  • Outdoor 1600m Top 4 Average
  • Outdoor 3200m Top 4 (normal)
  • Outdoor 3200m Top 4 Average

By using all of these factors and weighting them appropriately, we should get a really good and balanced idea of who are the best teams. This is especially designed for returning teams.


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