Maryland 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 Maryland.

1Severna Park (MD)6.442285000m 1-2 Gap (37.90)
2Dulaney High School (MD)7.124195000m 1-3 Gap (58.53)
3Broadneck Senior High School (MD)7.921145000m 1-5 Gap (1:22.60)
4Thomas S. Wootton High School (MD)8.563153200m 1-4 Average (12:36.46)
5South River High School (MD)8.61163200m Top 4
6Hereford High School (MD)8.681275000m 1-2 Gap (37.73)
7Urbana High School (MD)9.161195000m 1-4 Average (20:35.53)
8Walt Whitman High School (MD)9.765315000m 1-2 Gap (54.18)
9Montgomery Blair High School (MD)10.24305000m 1-3 Gap (1:31.46)
10Northern-Calvert High School (MD)11.81445000m 1-5 Gap (3:12.00)
11Quince Orchard High School (MD)12.23241600m 1-4 Average (5:43.14)
12Richard Montgomery High School (MD)13.45193200m 1-4 Average (12:48.43)
13Walter Johnson High School (MD)14.11495000m 1-2 Gap (2:09.49)
14Centennial High School (MD)15.78285000m 1-3 Gap (1:27.62)
15Atholton High School (MD)16.72295000m 1-4 Average (20:54.25)
16C. Milton Wright High School (MD)18.411415000m 1-4 Gap (2:28.80)
17Northwest High School (MD)19.611355000m 1-2 Gap (1:01.48)
18Sherwood High School (MD)22.110333200m 1-4 Average (13:23.32)
19Mt. Hebron High School (MD)22.112395000m 1-3 Gap (1:55.08)
20Damascus High School (MD)22.912465000m 1-4 Gap (3:03.23)
21Towson High School (MD)22.914341600m 1-4 Average (5:51.05)
22Bethesda-Chevy Chase High School (MD)23.08313200m Top 4
23Oakdale High School (MD)23.117345000m 1-2 Gap (57.56)
24Marriotts Ridge High School (MD)23.43321600m Top 4
25Leonardtown High School (MD)24.92445000m 1-4 Average (21:34.38)
26Winston Churchill High School (MD)25.91381600m 1-4 Average (5:54.39)
27Calvert High School (MD)26.216435000m 1-2 Gap (1:47.59)
28North Hagerstown High School (MD)26.42363200m 1-4 Average (13:37.55)
29Century High School (MD)30.315425000m 1-5 Gap (2:48.41)
30Archbishop Spalding High School (MD)30.68425000m 1-4 Gap (2:32.58), Not Enough Data
31River Hill High School (MD)31.014461600m 1-4 Average (5:57.08)
32Poolesville High School (MD)32.716495000m 1-3 Gap (3:50.00)
33Paint Branch High School (MD)33.018475000m 1-2 Gap (2:03.65)
34Mount De Sales Academy (MD)33.118455000m 1-2 Gap (1:54.26)
35Maryvale Prep School (MD)33.622365000m 1-2 Gap (1:10.61), Not Enough Data
36Arundel High School (MD)36.520485000m Top 4, Not Enough Data
37Catonsville High School (MD)36.631485000m 1-5 Average (22:10.62)
38Boonsboro High School (MD)37.421455000m 1-4 Average (21:37.28)
39South Carroll High School (MD)37.519471600m Top 4, Not Enough Data
40Bel Air High School (MD)37.628451600m 1-4 Average (5:57.03)
41Patterson Mill High School (MD)3825435000m 1-4 Gap (2:41.90)
42South Hagerstown High School (MD)38.223431600m 1-4 Average (5:56.56), Not Enough Data
43Clarksburg High School (MD)38.314495000m 1-4 Average (21:47.98)
44Notre Dame Prep (MD)38.626385000m 1-2 Gap (1:16.90), Not Enough Data
45Glenelg High School (MD)39.817505000m 1-4 Average (21:50.85), Not Enough Data
46Old Mill High School (MD)41.49503200m 1-4 Average (14:57.45)
47Great Mills High School (MD)43.330505000m 1-5 Gap (4:59.60), Not Enough Data
48Winters Mill High School (MD)43.718485000m 1-4 Average (21:45.75), Not Enough Data
49Annapolis Senior High School (MD)44.733485000m 1-5 Gap (4:27.00), Not Enough Data
50Roland Park Country School (MD)45.413505000m 1-5 Average (22:18.60), 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.