Indiana Boys 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 boys cross country squads in the state of Indiana.

RankTeamScoreHighestLowestWeakness
1Carmel High School (IN)1.6175000m 1-3 Gap (25.10)
2Valparaiso High School (IN)7.843135000m 1-4 Average (16:22.15)
3Avon High School (IN)8.682255000m 1-3 Gap (38.10)
4Zionsville Community High School (IN)8.84265000m 1-2 Gap (24.70)
5Bloomington South High School (IN)8.844215000m 1-4 Average (16:32.03)
6Indianapolis Cathedral High School (IN)9.042415000m 1-5 Gap (1:44.86)
7Fishers High School (IN)10.72315000m 1-5 Gap (1:22.10)
8North Central High School (Indianapolis) (IN)11.62445000m 1-3 Gap (1:04.75)
9West Lafayette High School (IN)12.35315000m 1-2 Gap (32.00)
10Brebeuf Jesuit Prep School (IN)14.74375000m 1-5 Gap (1:36.40)
11Christian Academy of Indiana (IN)16.45485000m 1-5 Gap (2:02.40)
12Huntington North High School (IN)16.99265000m 1-4 Average (16:36.23)
13Bloomington North High School (IN)17.07285000m 1-2 Gap (27.30)
14Hamilton Southeastern High School (IN)17.02505000m 1-4 Gap (2:01.40)
15Westfield High School (IN)17.910475000m 1-2 Gap (59.10)
16Noblesville High School (IN)20.56375000m 1-4 Average (16:49.31)
17Fort Wayne Carroll High School (IN)20.61215000m 1-4 Gap (51.20), Not Enough Data
18Jennings County High School (IN)21.213335000m 1-4 Gap (1:04.80)
19Lowell High School (IN)23.15495000m 1-5 Gap (2:16.40)
20Greenfield Central High School (IN)23.614385000m 1-4 Average (16:49.33)
21Ben Davis High School (IN)24.210435000m 1-4 Average (16:53.93)
22Lake Central High School (IN)25.73285000m 1-5 Gap (1:17.90), Not Enough Data
23Castle High School (IN)26.014365000m 1-2 Gap (38.36)
24Brownsburg High School (IN)26.51405000m 1-4 Average (16:50.33), Not Enough Data
25Warsaw Community High School (IN)27.711325000m 1-2 Gap (32.30), Not Enough Data
26Penn High School (IN)28.615245000m 1-3 Gap (37.77), Not Enough Data
27Westview High School (IN)29.34415000m 1-4 Gap (1:17.06), Not Enough Data
28Morgan Township High School (IN)29.417385000m 1-5 Average (17:00.58)
29Crown Point High School (IN)30.86295000m 1-4 Average (16:41.20), Not Enough Data
30Center Grove High School (IN)31.324485000m 1-2 Gap (1:01.20)
31Tell City High School (IN)31.617375000m 1-4 Gap (1:06.40), Not Enough Data
32McCutcheon High School (IN)32.019445000m 1-2 Gap (50.00), Not Enough Data
33Franklin Central High School (IN)32.415495000m 1-4 Average (17:03.40), Not Enough Data
34Barr-Reeve High School (IN)33.916465000m 1-4 Gap (1:30.61)
35Columbus North High School (IN)33.916375000m 1-2 Gap (42.56), Not Enough Data
36Southport High School (IN)35.323455000m 1-2 Gap (50.00), Not Enough Data
37Chesterton High School (IN)36.218455000m 1-3 Gap (1:09.10), Not Enough Data
38West Lafayette Harrison High School (IN)37.619475000m 1-5 Gap (1:59.80)
39Homestead High School (IN)38.48495000m 1-5 Average (17:11.76), Not Enough Data
40Pendleton Heights High School (IN)39.326375000m 1-5 Average (16:57.39), Not Enough Data
41Fort Wayne Concordia Lutheran High School (IN)40.229445000m 1-4 Gap (1:19.85), Not Enough Data
42LaPorte High School (IN)40.26415000m 1-4 Average (16:50.40), Not Enough Data
43Franklin Community High School (IN)42.230475000m 1-4 Gap (1:33.00), Not Enough Data
44Bellmont High School (IN)42.513475000m 1-4 Average (17:01.45), Not Enough Data
45Pike High School (IN)43.438475000m 1-3 Gap (1:11.20)
46Roncalli High School (IN)47.441495000m 1-4 Gap (1:39.30), 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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