Indiana 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 Indiana.

RankTeamScoreHighestLowestWeakness
1Fishers High School (IN)4.042255000m 1-2 Gap (29.00)
2Carmel High School (IN)4.731305000m 1-3 Gap (1:05.69)
3Bloomington North High School (IN)6.44265000m 1-2 Gap (29.40)
4West Lafayette High School (IN)7.122135000m 1-4 Average (19:15.35)
5Zionsville Community High School (IN)7.24275000m 1-2 Gap (30.50)
6Fort Wayne Carroll High School (IN)7.942305000m 1-2 Gap (32.46)
7Noblesville High School (IN)10.63385000m 1-2 Gap (47.42)
8Floyd Central High School (IN)10.75335000m 1-2 Gap (37.50)
9Hamilton Southeastern High School (IN)10.81315000m 1-4 Gap (1:28.26)
10Indianapolis Cathedral High School (IN)12.53185000m 1-5 Average (19:31.40)
11Westfield High School (IN)14.310425000m 1-2 Gap (54.06)
12Brebeuf Jesuit Prep School (IN)161345000m 1-4 Average (19:43.31)
13Lowell High School (IN)16.69365000m 1-2 Gap (46.50)
14Penn High School (IN)17.17405000m 1-2 Gap (52.48)
15LaPorte High School (IN)19.413465000m 1-2 Gap (1:04.36)
16Homestead High School (IN)22.53285000m 1-2 Gap (30.65), Not Enough Data
17Plainfield High School (IN)24.14445000m 1-4 Average (20:04.55), Not Enough Data
18Valparaiso High School (IN)24.36235000m 1-5 Gap (1:37.78), Not Enough Data
19Brownsburg High School (IN)24.74215000m 1-4 Average (19:22.28), Not Enough Data
20Columbia City High School (IN)25.617415000m 1-2 Gap (53.40)
21Bloomington South High School (IN)27.63395000m 1-3 Gap (1:15.90), Not Enough Data
22Columbus North High School (IN)29.44365000m 1-3 Gap (1:11.76), Not Enough Data
23Dekalb High School (IN)30.511505000m 1-2 Gap (1:29.20)
24Evansville Memorial High School (IN)30.58295000m 1-2 Gap (32.02), Not Enough Data
25Terre Haute South Vigo High School (IN)30.815475000m 1-2 Gap (1:11.50), Not Enough Data
26Huntington North High School (IN)30.913495000m 1-3 Gap (1:57.00)
27Center Grove High School (IN)31.11385000m 1-4 Average (19:52.00), Not Enough Data
28Munster High School (IN)32.415375000m 1-5 Gap (2:10.30), Not Enough Data
29South Bend John Adams High School (IN)33.513485000m 1-4 Average (20:22.34), Not Enough Data
30Southport High School (IN)34.222415000m 1-4 Gap (1:54.60), Not Enough Data
31South Adams High School (IN)34.820475000m 1-4 Average (20:18.15), Not Enough Data
32Warsaw Community High School (IN)35.220485000m 1-2 Gap (1:16.80), Not Enough Data
33Seymour High School (IN)36.023455000m 1-5 Gap (2:34.65), Not Enough Data
34Fort Wayne Bishop Dwenger High School (IN)36.325435000m 1-2 Gap (1:00.77), Not Enough Data
35East Noble High School (IN)36.315475000m 1-4 Gap (2:16.92), Not Enough Data
36Franklin Central High School (IN)36.418435000m 1-4 Gap (2:00.00), Not Enough Data
37Western High School (IN)38.413505000m 1-5 Average (20:40.13), Not Enough Data
38Rensselaer Central High School (IN)38.521425000m 1-5 Gap (2:19.10), Not Enough Data
39Crown Point High School (IN)38.517425000m 1-4 Gap (1:58.80), Not Enough Data
40Guerin Catholic School (IN)39.09475000m 1-5 Gap (3:36.10), Not Enough Data
41Cass High School (IN)39.35495000m 1-5 Gap (3:55.39), Not Enough Data
42Oak Hill High School (IN)39.410465000m 1-3 Gap (1:28.61), Not Enough Data
43Northridge High School (IN)40.519415000m 1-4 Average (19:59.27), Not Enough Data
44Lawrence North High School (IN)40.834425000m 1-3 Gap (1:18.50), Not Enough Data
45Portage High School (IN)41.423435000m 1-4 Average (20:00.45), Not Enough Data
46Concord Community High School (IN)41.618435000m 1-5 Average (20:18.18), Not Enough Data
47Chesterton High School (IN)42.411455000m 1-4 Average (20:09.50), Not Enough Data
48Benton Central High School (IN)44.413485000m 1-5 Gap (3:40.40), Not Enough Data
49Twin Lakes High School (IN)46.540495000m 1-2 Gap (1:21.44), 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.


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