Iowa 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 Iowa.

RankTeamScoreHighestLowestWeakness
1Pleasant Valley High School (IA)13.34285000m 1-4 Gap (1:22.80)
2Le Mars High School (IA)17.71355000m 1-4 Average (20:22.74)
3Cedar Falls High School (IA)18.32105000m 1-5 Gap (46.50), Not Enough Data
4Dowling Catholic High School (IA)19.5285000m 1-3 Gap (29.04), Not Enough Data
5Johnston High School (IA)20.51185000m 1-5 Gap (1:14.90), Not Enough Data
6Waukee High School (IA)20.52125000m 1-4 Average (19:26.18), Not Enough Data
7Dubuque Hempstead High School (IA)20.63175000m 1-5 Gap (1:12.49), Not Enough Data
8Dubuque Senior High School (IA)21.01145000m 1-3 Gap (44.13), Not Enough Data
9Iowa City High School (IA)223335000m 1-2 Gap (41.98), Not Enough Data
10Ankeny Centennial HS (IA)23.17225000m 1-2 Gap (24.80), Not Enough Data
11Bishop Heelan Catholic High School (IA)24.86215000m 1-2 Gap (24.45), Not Enough Data
12Dubuque Wahlert High School (IA)24.96205000m 1-5 Gap (1:16.17), Not Enough Data
13Cedar Rapids Kennedy High School (IA)26.55325000m 1-5 Gap (1:54.34), Not Enough Data
14North Scott High School (IA)28.413315000m 1-5 Gap (1:53.90), Not Enough Data
15Monticello High School (IA)28.48355000m 1-2 Gap (47.40), Not Enough Data
16Urbandale High School (IA)29.69265000m 1-3 Gap (57.00), Not Enough Data
17Sioux City East High School (IA)30.217375000m 1-2 Gap (49.92), Not Enough Data
18Decorah High School (IA)31.714425000m 1-2 Gap (1:14.32), Not Enough Data
19Spencer Community High School (IA)32.321295000m 1-3 Gap (59.39), Not Enough Data
20North Polk High School (IA)32.416315000m 1-3 Gap (1:05.19), Not Enough Data
21Humboldt High School (IA)33.216435000m 1-4 Gap (2:22.75), Not Enough Data
22Iowa City West High School (IA)33.511485000m 1-5 Gap (3:24.10), Not Enough Data
23Valley High School (IA)33.619415000m 1-4 Gap (1:55.60), Not Enough Data
24Ballard High School (IA)34.422345000m 1-4 Average (20:21.60), Not Enough Data
25Des Moines Roosevelt High School (IA)35.212425000m 1-4 Average (20:33.05), Not Enough Data
26Denison-Schleswig High School (IA)35.522415000m 1-3 Gap (1:45.69), Not Enough Data
27Central City (IA)35.925405000m 1-2 Gap (1:04.00), Not Enough Data
28Ottumwa High School (IA)3615475000m 1-5 Gap (3:17.27), Not Enough Data
29Hudson High School (IA)36.313355000m 1-5 Average (20:38.20), Not Enough Data
30Indianola High School (IA)36.94435000m 1-5 Gap (2:44.00), Not Enough Data
31Mid-Prairie High School (IA)37.712505000m 1-3 Gap (3:27.35), Not Enough Data
32Bettendorf High School (IA)38.57455000m 1-4 Gap (2:32.70), Not Enough Data
33Okoboji High School (IA)39.215425000m 1-5 Gap (2:41.82), Not Enough Data
34Fort Madison High School (IA)41.227445000m 1-5 Gap (2:46.60), Not Enough Data
35Ankeny High School (IA)42.919465000m Top 5, Not Enough Data
36Underwood High School (IA)44.330505000m 1-2 Gap (2:12.60), Not Enough Data
37Cedar Rapids Washington High School (IA)47.237495000m 1-5 Gap (3:25.65), 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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