Minnesota 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 Minnesota.

1Edina High School (MN)4.761245000m 1-5 Gap (1:21.30)
2Wayzata High School (MN)5.21225000m 1-3 Gap (43.50)
3Minnetonka High School (MN)92465000m 1-2 Gap (1:05.02)
4Willmar High School (MN)10.66265000m 1-4 Gap (1:07.20)
5Minneapolis Washburn High School (MN)11.93321600m Top 4
6Saint Michael-Albertville High School (MN)12.84425000m 1-2 Gap (54.20)
7Shakopee High School (MN)13.29285000m 1-4 Gap (1:09.30)
8Marshall High School (MN)13.55325000m 1-3 Gap (1:03.60)
9Lakeville South High School (MN)14.26455000m 1-2 Gap (1:00.50)
10Forest Lake Area High School (MN)14.97435000m 1-5 Gap (2:19.80)
11Visitation High School (MN)15.08235000m 1-4 Gap (1:02.20)
12White Bear Lake High School (MN)16.511245000m 1-4 Average (19:49.28)
13Bloomington Jefferson High School (MN)17.03385000m 1-4 Average (20:05.72)
14Eden Prairie High School (MN)17.83485000m 1-5 Gap (2:36.64)
15Rosemount High School (MN)18.21305000m 1-4 Average (19:53.47)
16Monticello High School (MN)192301600m 1-4 Average (5:34.63)
17Farmington High School (MN)19.03505000m 1-3 Gap (3:01.30)
18Becker High School (MN)21.29435000m 1-4 Gap (1:58.14)
19Red Wing High School (MN)21.59375000m 1-5 Gap (1:49.10)
20Lakeville North High School (MN)21.96333200m 1-4 Average (12:21.57)
21Rochester Century High School (MN)22.212405000m 1-2 Gap (43.80)
22Henry Sibley High School (MN)23.44411600m 1-4 Average (5:39.52)
23Fairmont High School (MN)24.33343200m 1-4 Average (12:21.65)
24Stillwater High School (MN)25.63375000m 1-4 Average (20:05.64), Not Enough Data
25Mounds View High School (MN)27.213495000m 1-2 Gap (1:18.50), Not Enough Data
26Minnehaha Academy (MN)27.49465000m 1-4 Average (20:13.23), Not Enough Data
27Waconia High School (MN)27.77495000m 1-4 Average (20:15.97)
28Annandale High School (MN)27.84335000m 1-4 Average (19:58.28), Not Enough Data
29Rocori High School (MN)27.913505000m Top 5
30Moorhead High School (MN)295485000m 1-4 Average (20:15.12)
31Roseville Area High School (MN)29.27443200m 1-4 Average (12:35.86)
32Stewartville High School (MN)30.16451600m Top 4
33Howard Lake-Waverly-Winsted High School (MN)31.323415000m 1-5 Gap (2:12.19)
34Centennial High School (MN)32.519355000m 1-4 Gap (1:19.10), Not Enough Data
35Prior Lake High School (MN)32.512495000m Top 4, Not Enough Data
36Alexandria High School (MN)33.29465000m 1-3 Gap (1:57.10), Not Enough Data
37Brainerd High School (MN)33.35463200m 1-4 Average (12:40.09)
38Sartell-Saint Stephen High School (MN)33.724485000m 1-3 Gap (2:02.37)
39Perham High School (MN)33.714355000m 1-2 Gap (30.30), Not Enough Data
40Maple Grove High School (MN)3414455000m 1-5 Average (20:26.62)
41Faribault High School (MN)36.311475000m 1-4 Gap (2:17.00)
42Luverne High School (MN)36.821471600m 1-4 Average (5:41.50)
43Duluth East High School (MN)37.929461600m 1-4 Average (5:41.09)
44South Saint Paul High School (MN)39.822465000m 1-4 Gap (2:04.10), Not Enough Data
45Andover High School (MN)39.88505000m 1-4 Average (20:18.90), Not Enough Data
46Pequot Lakes High School (MN)41.119475000m 1-4 Average (20:14.44), Not Enough Data
47Chanhassen High School (MN)41.327495000m 1-3 Gap (2:16.20)
48East Ridge HS (MN)42.330495000m Top 5
49Rochester Mayo High School (MN)44.231485000m 1-4 Gap (2:31.30), Not Enough Data
50Lake City High School (MN)44.510493200m 1-4 Average (12:41.74), 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.