Delaware Girls Composite XC 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 Delaware.

RankTeamScoreHighestLowestWeakness
1Padua Academy (DE)2.761185000m 1-2 Gap (46.47)
2Tatnall (DE)4.641265000m 1-2 Gap (1:26.45)
3Caesar Rodney High School (DE)4.76195000m 1-4 Average (21:07.02)
4Mount Pleasant High School (DE)5.733125000m 1-4 Gap (1:47.88)
5Ursuline Academy (DE)6.263205000m 1-4 Gap (2:16.65)
6Charter School of Wilmington (DE)8.105235000m 1-2 Gap (1:16.56)
7Archmere Academy (DE)8.942155000m 1-2 Gap (32.89)
8St. Mark's High School (DE)11.37165000m 1-4 Average (21:57.73)
9Cape Henlopen High School (DE)13.57345000m 1-2 Gap (2:25.48)
10Polytech High School (DE)16.110245000m 1-3 Gap (2:03.40)
11Middletown High School (DE)16.77235000m 1-4 Average (22:46.64)
12Smyrna High School (DE)20.1185000m Top 5, Not Enough Data
13Newark Charter (DE)20.149--
14Appoquinimink High School (DE)22.35155000m 1-3 Gap (1:15.89), Not Enough Data
15Concord High School (DE)243195000m 1-2 Gap (46.69), Not Enough Data
16Alexis I. DuPont High School (DE)25.112335000m 1-2 Gap (2:08.97)
17Lake Forest High School (DE)25.11165000m 1-4 Gap (2:05.48), Not Enough Data
18Conrad (Henry C.) Schools of Science (DE)25.52245000m 1-4 Gap (2:28.55), Not Enough Data
19Sussex Technical High School (DE)26.310175000m 1-4 Average (22:09.55), Not Enough Data
20Red Lion Christian (DE)28.85235000m Top 4, Not Enough Data
21Dover High School (DE)29.32305000m Top 4, Not Enough Data
22St. Andrews (DE)29.614295000m 1-2 Gap (1:49.83), Not Enough Data
23Delaware Military Academy (DE)30.211255000m 1-5 Gap (3:24.95), Not Enough Data
24William Penn High School (DE)31.618315000m 1-2 Gap (2:05.39), Not Enough Data
25Delmar (DE)32.213295000m Top 4, Not Enough Data
26Sussex Academy of Arts & Science HS (DE)32.622285000m 1-2 Gap (1:29.30), Not Enough Data
27Newark High School (DE)32.918395000m 1-2 Gap (3:34.64), Not Enough Data
28Tower Hill School (DE)3319275000m 1-2 Gap (1:26.54), Not Enough Data
29Sussex Central High School (DE)3417325000m Top 4, Not Enough Data
30MOT Charter (DE)35.112335000m Top 4, Not Enough Data
31Delcastle High School (DE)3624355000m 1-5 Gap (12:25.64), Not Enough Data
32St. Georges Tech (DE)37.528385000m 1-2 Gap (3:19.44), Not Enough Data
33Wilmington Friends (DE)38.227365000m 1-2 Gap (2:30.16), Not Enough Data
34Brandywine High School (DE)38.824375000m 1-3 Gap (4:34.04), Not Enough Data
35Dickinson (John) High School (DE)40.53438--

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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