Delaware Girls Preseason Composite XC Team 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 Delaware.

1Charter School of Wilmington (DE)3.763105000m 1-4 Gap (1:29.18)
2Tatnall (DE)3.961305000m 1-2 Gap (1:13.73)
3St. Mark's High School (DE)5.892135000m 1-4 Average (21:19.10)
4Padua Academy (DE)6.081365000m 1-2 Gap (1:47.00)
5Delaware Military Academy (DE)7.474155000m 1-5 Gap (2:23.56)
6Caesar Rodney High School (DE)9.764205000m 1-3 Gap (1:32.00)
7Newark Charter (DE)10.24315000m 1-3 Gap (2:16.18)
8Appoquinimink High School (DE)11.510205000m 1-2 Gap (45.00)
9Archmere Academy (DE)11.77345000m 1-2 Gap (1:35.24)
10Polytech High School (DE)12.63215000m 1-4 Average (22:50.34)
11Mount Pleasant High School (DE)17.27295000m 1-5 Gap (5:00.97)
12Middletown High School (DE)19.511395000m 1-2 Gap (2:22.70)
13St. Andrews (DE)19.9195000m Top 4, Not Enough Data
14Ursuline Academy (DE)23.95215000m 1-5 Gap (3:30.00), Not Enough Data
15Smyrna High School (DE)265375000m 1-2 Gap (2:11.37), Not Enough Data
16Sussex Technical High School (DE)26.87265000m 1-5 Gap (4:11.74), Not Enough Data
17Tower Hill School (DE)27.212255000m 1-2 Gap (1:01.99), Not Enough Data
18William Penn High School (DE)28.310245000m Top 4, Not Enough Data
19Newark High School (DE)28.410325000m 1-3 Gap (2:21.42), Not Enough Data
20Milford High School (DE)29.414315000m 1-5 Gap (6:22.03), Not Enough Data
21Concord High School (DE)29.82305000m Top 4, Not Enough Data
22Red Lion Christian (DE)29.91275000m 1-4 Average (23:35.07), Not Enough Data
23Cape Henlopen High School (DE)30.215385000m 1-2 Gap (2:19.52), Not Enough Data
24Sussex Central High School (DE)32.14355000m Top 4, Not Enough Data
25Dover High School (DE)32.212295000m 1-3 Gap (2:12.00), Not Enough Data
26St. Georges Tech (DE)32.417335000m 1-2 Gap (1:34.69), Not Enough Data
27Delmar (DE)32.813315000m Top 4, Not Enough Data
28MOT Charter (DE)33.32385000m Top 4, Not Enough Data
29Conrad (Henry C.) Schools of Science (DE)33.416365000m 1-3 Gap (3:42.38), Not Enough Data
30Brandywine High School (DE)34.38335000m Top 4, Not Enough Data
31Sussex Academy of Arts & Science HS (DE)34.319425000m 1-2 Gap (3:14.10), Not Enough Data
32Caravel Academy (DE)35.123355000m 1-2 Gap (1:36.18), Not Enough Data
33Wilmington Friends (DE)36.524325000m 1-4 Average (24:26.64), Not Enough Data
34Sanford School (DE)38.729425000m 1-3 Gap (8:00.33), Not Enough Data
35St. Elizabeth High School (DE)39.522395000m 1-3 Gap (5:06.01), Not Enough Data
36Delcastle High School (DE)40.732415000m 1-3 Gap (7:41.80), 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.