Maryland Boys Preseason Composite XC Team Rankings

This content requires a MileSplit Pro plan.
Join Now and select any plan for instant access!

MileSplit Pro
Join Now

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.

1Severna Park (MD)1.641115000m 1-5 Gap (23.00)
2Dulaney High School (MD)3.642235000m 1-2 Gap (19.82)
3Broadneck Senior High School (MD)8.262181600m 1-4 Average (4:43.55)
4Century High School (MD)11.34305000m 1-5 Gap (1:23.31)
5South River High School (MD)11.84345000m 1-3 Gap (1:01.90)
6Thomas S. Wootton High School (MD)15.23435000m 1-2 Gap (56.00)
7Calvert High School (MD)163425000m 1-3 Gap (1:19.46)
8Loyola-Blakefield High School (MD)16.33375000m 1-2 Gap (40.31)
9Howard High School (MD)16.46405000m 1-2 Gap (51.34)
10Bethesda-Chevy Chase High School (MD)16.64395000m 1-4 Gap (1:32.20)
11Calvert Hall College High School (MD)16.89285000m 1-4 Average (17:18.83)
12Walt Whitman High School (MD)17.64455000m 1-5 Gap (2:05.00)
13Poolesville High School (MD)18.36485000m 1-2 Gap (1:15.00)
14Northwest High School (MD)18.39355000m 1-2 Gap (37.00)
15Paint Branch High School (MD)18.55305000m 1-4 Average (17:18.93)
16Mt. Hebron High School (MD)19.410425000m 1-2 Gap (55.40)
17Centennial High School (MD)19.96345000m 1-4 Average (17:21.67)
18Gilman School (MD)22.617325000m 1-2 Gap (32.40)
19Lions Upper School (MD)23.21245000m 1-4 Average (17:13.88), Not Enough Data
20Winston Churchill High School (MD)23.614385000m 1-3 Gap (1:09.50)
21Our Lady Of Good Counsel (MD)23.64205000m 1-4 Average (17:07.36), Not Enough Data
22Fallston High School (MD)23.83365000m 1-4 Average (17:25.38)
23River Hill High School (MD)24.220335000m 1-4 Average (17:21.48)
24Landon School (MD)25.25255000m 1-4 Gap (58.34), Not Enough Data
25Quince Orchard High School (MD)25.211441600m Top 4
26Bel Air High School (MD)25.65485000m 1-4 Gap (2:12.22)
27Bohemia Manor High School (MD)28.813495000m 1-4 Gap (2:17.14)
28Southern Garrett High School (MD)29.413475000m 1-5 Average (17:51.10)
29Richard Montgomery High School (MD)30.216445000m 1-4 Gap (1:47.29)
30Oakdale High School (MD)31.310495000m 1-4 Average (17:46.09), Not Enough Data
31Linganore High School (MD)31.98475000m 1-4 Gap (1:50.00)
32Mount St. Joseph (MD)32.09465000m 1-4 Gap (1:49.70)
33Westminster High School (MD)32.54441600m 1-4 Average (4:52.90)
34Oakland Mills High School (MD)33.37471600m 1-4 Average (4:53.98)
35Kent Island High School (MD)33.49505000m 1-5 Gap (3:13.29)
36Atholton High School (MD)33.710501600m 1-4 Average (4:54.99)
37Albert Einstein High School (MD)34.69465000m 1-5 Gap (2:31.44), Not Enough Data
38Charles E. Smith Jewish Day School (MD)34.618435000m 1-5 Average (17:48.41), Not Enough Data
39Liberty High School (MD)34.88493200m Top 4
40Sherwood High School (MD)359493200m 1-4 Average (10:57.92), Not Enough Data
41Leonardtown High School (MD)36.320371600m Top 4, Not Enough Data
42Clarksburg High School (MD)36.416491600m 1-4 Average (4:54.85)
43North Hagerstown High School (MD)37.518495000m 1-3 Gap (1:41.29), Not Enough Data
44John Carroll School (MD)37.613435000m 1-4 Average (17:39.35), Not Enough Data
45Hereford High School (MD)38.728495000m Top 4, Not Enough Data
46Montgomery Blair High School (MD)41.620505000m 1-4 Average (17:46.65), Not Enough Data
47McDonogh School (MD)41.813505000m 1-2 Gap (1:46.20), Not Enough Data
48Reservoir High School (MD)42.129485000m 1-3 Gap (1:39.50), 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.