Delaware Boys 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 boys cross country squads in the state of Delaware.

RankTeamScoreHighestLowestWeakness
1Salesianum School (DE)2.4195000m 1-5 Gap (1:26.47)
2Tatnall (DE)2.881125000m 1-3 Gap (45.78)
3Caesar Rodney High School (DE)4.94195000m 1-4 Average (17:38.27)
4Charter School of Wilmington (DE)6.483255000m 1-2 Gap (34.97)
5Appoquinimink High School (DE)74195000m 1-2 Gap (25.72)
6Delaware Military Academy (DE)7.041195000m 1-5 Gap (2:12.10)
7Concord High School (DE)10.25295000m 1-2 Gap (54.12)
8St. Mark's High School (DE)10.47265000m 1-2 Gap (35.05)
9Newark Charter (DE)11.85365000m 1-2 Gap (1:23.08)
10Archmere Academy (DE)13.03215000m 1-4 Average (18:28.90)
11Polytech High School (DE)17.23221600m 1-4 Average (5:33.54)
12Cape Henlopen High School (DE)18.011405000m 1-2 Gap (1:46.90)
13Mount Pleasant High School (DE)19.711325000m 1-5 Gap (4:00.81)
14Alexis I. DuPont High School (DE)19.89335000m 1-2 Gap (1:11.82)
15Wilmington Friends (DE)20.610435000m 1-3 Gap (3:20.45)
16Hodgson Vo-Tech (DE)21.25285000m Top 4
17St. Andrews (DE)21.54315000m 1-2 Gap (1:00.13), Not Enough Data
18St. Georges Tech (DE)21.612315000m 1-4 Gap (2:34.31)
19Conrad (Henry C.) Schools of Science (DE)21.71295000m Top 4
20Sussex Technical High School (DE)22.34175000m 1-2 Gap (23.01), Not Enough Data
21Newark High School (DE)23.817375000m 1-2 Gap (1:25.52)
22Dover High School (DE)24.79225000m 1-2 Gap (29.66), Not Enough Data
23Christiana High School (DE)25.49415000m Top 4
24Middletown High School (DE)26.47215000m 1-2 Gap (27.49), Not Enough Data
25Delcastle High School (DE)27.510395000m Top 4
26Brandywine High School (DE)27.82275000m 1-4 Average (18:58.85), Not Enough Data
27Milford High School (DE)28.58235000m 1-4 Average (18:43.06), Not Enough Data
28Smyrna High School (DE)29.314325000m 1-2 Gap (1:00.64), Not Enough Data
29Sanford School (DE)31.417305000m 1-4 Gap (2:30.46), Not Enough Data
30Tower Hill School (DE)33.412415000m 1-5 Gap (7:02.89), Not Enough Data
31St. Elizabeth High School (DE)35.211375000m Top 4, Not Enough Data
32MOT Charter (DE)35.616365000m Top 4, Not Enough Data
33William Penn High School (DE)37.222365000m 1-3 Gap (2:14.19), Not Enough Data
34Wilmington Christian School (DE)37.727405000m 1-4 Gap (4:54.34), Not Enough Data
35Red Lion Christian (DE)37.829415000m 1-2 Gap (1:51.40), Not Enough Data
36Indian River (DE)38.323395000m 1-2 Gap (1:40.09), Not Enough Data
37Delmar (DE)39.430455000m 1-2 Gap (2:18.13), Not Enough Data
38Sussex Central High School (DE)40.634465000m 1-2 Gap (2:27.86), Not Enough Data
39Howard Tech High School (DE)43.738465000m 1-3 Gap (5:04.44), Not Enough Data
40Delmarva Christian High School (DE)43.735445000m 1-2 Gap (2:03.09), Not Enough Data
41Freire Charter School (DE)44.636485000m 1-2 Gap (3:09.31), 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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