Maryland Boys Preseason 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 boys cross country squads in the state of Maryland.

1Dulaney High School (MD)5.36395000m 1-3 Gap (25.50)
2Severna Park High School (MD)5.481315000m 1-2 Gap (41.30)
3Loyola-Blakefield High School (MD)8.482315000m 1-4 Gap (1:15.00)
4Montgomery Blair High School (MD)8.925185000m 1-2 Gap (19.40)
5Northwood High School (MD)10.62435000m 1-5 Gap (1:58.20)
6Linganore High School (MD)12.23415000m 1-3 Gap (1:15.50)
7Calvert High School (MD)13.15425000m 1-2 Gap (1:07.90)
8Walt Whitman High School (MD)14.42325000m 1-2 Gap (45.50)
9Gilman School (MD)15.06253200m 1-4 Average (10:43.06)
10Calvert Hall College High School (MD)15.25405000m 1-2 Gap (1:04.50)
11Sherwood High School (MD)15.42251600m 1-4 Average (4:45.78)
12Thomas S. Wootton High School (MD)15.47425000m 1-3 Gap (1:21.30)
13Paint Branch High School (MD)16.64385000m 1-5 Gap (1:48.70)
14Centennial High School (MD)17.51355000m 1-4 Average (17:24.05)
15Richard Montgomery High School (MD)18.71475000m 1-4 Gap (1:56.60)
16Fallston High School (MD)19.17301600m 1-4 Average (4:48.34)
17River Hill High School (MD)20.312355000m 1-2 Gap (54.57)
18Century High School (MD)20.78375000m 1-4 Average (17:28.73)
19Liberty High School (MD)222305000m 1-4 Average (17:13.38)
20St. Paul\'s School (MD)22.47481600m 1-4 Average (4:54.63)
21Howard High School (MD)22.46345000m 1-2 Gap (47.90)
22Winston Churchill High School (MD)23.512435000m 1-2 Gap (1:08.30)
23Broadneck Senior High School (MD)23.913425000m 1-4 Gap (1:38.80)
24Bohemia Manor High School (MD)24.44405000m 1-5 Gap (1:53.50)
25Chopticon High School (MD)25.35465000m 1-5 Gap (2:11.13)
26Bethesda-Chevy Chase High School (MD)25.811441600m 1-4 Average (4:53.86)
27C. Milton Wright High School (MD)26.05391600m 1-4 Average (4:51.96)
28Arundel High School (MD)26.012445000m 1-3 Gap (1:23.50)
29Atholton High School (MD)26.42441600m Top 4
30Towson High School (MD)27.61315000m 1-4 Average (17:13.93), Not Enough Data
31South River High School (MD)28.915505000m 1-3 Gap (1:51.30)
32Oakdale High School (MD)29.414443200m 1-4 Average (11:07.99)
33Walter Johnson High School (MD)30.115415000m Top 4
34Hereford High School (MD)30.83465000m 1-4 Average (17:43.58), Not Enough Data
35Mount St. Joseph School (MD)32.55365000m 1-4 Average (17:24.47), Not Enough Data
36John Carroll School (MD)32.615395000m 1-5 Average (17:38.47)
37Clarksburg High School (MD)34.725505000m 1-4 Gap (2:24.90)
38Harford Technical High School (MD)35.814501600m Top 4
39Northwest High School (MD)36.612355000m 1-5 Average (17:33.77), Not Enough Data
40Springbrook High School (MD)37.023475000m 1-3 Gap (1:31.70)
41Poolesville High School (MD)37.323411600m 1-4 Average (4:52.84)
42Boonsboro High School (MD)39.823475000m 1-5 Average (17:54.90)
43McDonogh School (MD)40.515491600m 1-4 Average (4:55.62), Not Enough Data
44Albert Einstein High School (MD)41.824505000m 1-5 Gap (2:51.58), Not Enough Data
45North Harford High School (MD)42.322435000m 1-4 Average (17:36.81), Not Enough Data
46Quince Orchard High School (MD)43.630505000m Top 5, Not Enough Data
47Old Mill High School (MD)44.132503200m 1-4 Average (11:19.30)
48Kent Island High School (MD)44.726505000m 1-4 Average (17:53.02), Not Enough Data
49Leonardtown High School (MD)45.713505000m 1-5 Average (18:05.11), 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.