Iowa 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 Iowa.

RankTeamScoreHighestLowestWeakness
1Johnston High School (IA)3.61145000m 1-4 Average (16:24.90)
2Prairie High School (IA)4.2295000m 1-5 Gap (46.52)
3Pleasant Valley High School (IA)5.281405000m 1-2 Gap (30.90)
4Valley High School (IA)8.644285000m 1-3 Gap (41.90)
5Cedar Rapids Kennedy High School (IA)9.083215000m 1-4 Average (16:44.31)
6Dowling Catholic High School (IA)9.243425000m 1-2 Gap (34.20)
7Iowa City High School (IA)11.31171600m 1-4 Average (4:50.55)
8Waukee High School (IA)11.31205000m 1-5 Average (16:57.34)
9Linn-Mar High School (IA)11.74275000m 1-3 Gap (24.87)
10Gilbert High School (IA)13.82295000m 1-4 Average (17:01.57)
11Dubuque Hempstead High School (IA)14.93285000m 1-5 Gap (1:14.40)
12Dubuque Senior High School (IA)16.34425000m 1-4 Gap (1:24.60)
13Iowa City West High School (IA)17.08445000m 1-2 Gap (43.67)
14Cedar Falls High School (IA)17.612315000m 1-3 Gap (49.38)
15Ames High School (IA)17.62295000m 1-4 Gap (1:01.90)
16Ankeny High School (IA)18.77455000m 1-3 Gap (1:17.90)
17Dubuque Wahlert High School (IA)19.612395000m 1-2 Gap (30.04)
18Dallas Center-Grimes High School (IA)20.46301600m 1-4 Average (4:58.25)
19Decorah High School (IA)20.818355000m 1-3 Gap (55.70)
20Ankeny Centennial HS (IA)21.25495000m 1-2 Gap (1:11.40)
21Mid-Prairie High School (IA)21.63493200m 1-4 Average (11:35.34)
22Marion High School (IA)22.66505000m 1-3 Gap (1:39.00)
23Cedar Rapids Washington High School (IA)25.92405000m 1-5 Gap (1:38.72), Not Enough Data
24Bettendorf High School (IA)26.312485000m 1-5 Average (17:41.62)
25Xavier High School (IA)26.92411600m 1-4 Average (5:01.51)
26Bellevue High School (IA)27.217325000m 1-4 Average (17:14.96)
27Indianola High School (IA)29.28475000m 1-5 Gap (1:52.80)
28Aplington Parkersburg High School (IA)29.36495000m 1-5 Gap (2:06.00)
29Davenport West High School (IA)29.412485000m 1-3 Gap (1:22.00)
30Carlisle High School (IA)29.65451600m 1-4 Average (5:03.06)
31Spirit Lake High School (IA)32.222415000m 1-5 Average (17:33.77)
32Sergeant Bluff-Luton Gigh School (IA)32.527435000m 1-5 Gap (1:43.13)
33George-Little Rock High School (IA)32.65325000m 1-3 Gap (51.67), Not Enough Data
34Muscatine High School (IA)33.425485000m 1-2 Gap (1:03.78)
35Des Moines Roosevelt High School (IA)33.924435000m 1-2 Gap (37.00)
36Waverly-Shell Rock High School (IA)34.221455000m 1-4 Average (17:27.40)
37Waterloo West High School (IA)34.37481600m 1-4 Average (5:04.45)
38Grinnell High School (IA)34.418375000m 1-4 Gap (1:16.00), Not Enough Data
39Nodaway Valley High School (IA)34.916401600m 1-4 Average (5:01.39)
40Mount Vernon High School (IA)36.023345000m 1-4 Gap (1:13.70), Not Enough Data
41Glenwood High School (IA)37.420441600m 1-4 Average (5:02.49), Not Enough Data
42Williamsburg High School (IA)42.630505000m 1-4 Average (17:32.00), Not Enough Data
43Humboldt High School (IA)42.619455000m Top 4, Not Enough Data
44Epworth, Western Dubuque High School (IA)44.340495000m 1-3 Gap (1:25.14)
45Sioux City North High School (IA)46.134505000m 1-5 Gap (2:21.01), 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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