Maryland Girls 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 girls cross country squads in the state of Maryland.

1Broadneck Senior High School (MD)7.282225000m 1-2 Gap (50.30)
2Thomas S. Wootton High School (MD)8.564165000m 1-5 Gap (1:38.70)
3Severna Park High School (MD)8.81335000m 1-3 Gap (1:46.60)
4Walt Whitman High School (MD)91213200m Top 4
5Dulaney High School (MD)9.525155000m 1-2 Gap (32.80)
6Northern-Calvert High School (MD)112405000m 1-4 Gap (2:36.85)
7Centennial High School (MD)11.85375000m 1-2 Gap (1:17.60)
8Howard High School (MD)12.45185000m 1-4 Average (20:31.25)
9Walter Johnson High School (MD)12.55435000m 1-2 Gap (1:30.80)
10Urbana High School (MD)12.61465000m 1-4 Gap (3:12.40)
11Bethesda-Chevy Chase High School (MD)13.13255000m 1-4 Average (20:41.13)
12Calvert High School (MD)156385000m 1-2 Gap (1:20.49)
13Oakdale High School (MD)15.69241600m Top 4
14Hereford High School (MD)16.93445000m 1-3 Gap (2:18.00)
15Atholton High School (MD)17.94325000m 1-4 Average (21:00.07)
16Bel Air High School (MD)192325000m 1-5 Gap (2:40.00)
17Montgomery Blair High School (MD)20.81305000m 1-4 Average (20:58.20)
18Huntingtown High School (MD)2111345000m 1-5 Gap (2:48.54)
19Towson High School (MD)21.54391600m 1-4 Average (5:55.31)
20South River High School (MD)21.88395000m 1-2 Gap (1:25.00)
21Edgewood High School (MD)22.74465000m 1-4 Average (21:29.53)
22Winston Churchill High School (MD)22.84283200m 1-4 Average (13:11.53)
23Richard Montgomery High School (MD)246481600m 1-4 Average (6:00.26)
24Leonardtown High School (MD)24.814465000m 1-2 Gap (1:57.00)
25Notre Dame Prep (MD)24.816385000m 1-3 Gap (1:59.19)
26Glenelg High School (MD)2712435000m 1-4 Average (21:27.60)
27Poolesville High School (MD)27.510495000m 1-3 Gap (3:00.00)
28C. Milton Wright High School (MD)27.82451600m 1-4 Average (5:58.89)
29Northwest High School (MD)28.218421600m 1-4 Average (5:57.99)
30Holton-Arms School (MD)28.819435000m 1-4 Gap (3:02.03), Not Enough Data
31Maryvale Prep School (MD)30.316355000m 1-4 Average (21:07.63)
32Winters Mill High School (MD)31.219401600m 1-4 Average (5:55.59)
33Annapolis Senior High School (MD)31.96485000m 1-4 Gap (3:42.60), Not Enough Data
34Clarksburg High School (MD)32.220435000m 1-5 Gap (3:36.20)
35Quince Orchard High School (MD)32.217415000m Top 5
36Catonsville High School (MD)32.218425000m 1-4 Average (21:27.13)
37Archbishop Spalding High School (MD)33.35415000m 1-3 Gap (2:13.99), Not Enough Data
38Kent Island High School (MD)34.817505000m 1-5 Gap (4:40.00)
39South Carroll High School (MD)35.17495000m Top 4, Not Enough Data
40North Hagerstown High School (MD)35.613505000m 1-4 Average (21:41.00)
41Our Lady Of Good Counsel (MD)38.523485000m 1-5 Gap (4:19.00)
42Arundel High School (MD)39.423475000m 1-3 Gap (2:36.70), Not Enough Data
43Sherwood High School (MD)40.04455000m Top 5, Not Enough Data
44Rising Sun High School (MD)41.13495000m 1-5 Average (21:54.05), Not Enough Data
45Mt. Hebron High School (MD)42.334495000m Top 5, Not Enough Data
46Mount De Sales Academy (MD)43.734505000m 1-3 Gap (3:05.37), Not Enough Data
47Damascus High School (MD)45.934475000m Top 5, Not Enough Data
48Roland Park Country School (MD)4636505000m 1-5 Average (21:56.78)

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.