Arizona 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 Arizona.

RankTeamScoreHighestLowestWeakness
1Xavier College Preparatory (AZ)3.081125000m 1-4 Gap (1:07.29)
2Flagstaff High School (AZ)5.521105000m 1-4 Average (19:54.73)
3Chandler High School (AZ)7.081365000m 1-2 Gap (1:05.10)
4Desert Vista High School (AZ)7.441375000m 1-4 Gap (2:29.11)
5Highland High (AZ)9.564405000m 1-2 Gap (1:17.98)
6Chaparral High School (AZ)10.42415000m 1-3 Gap (2:06.00)
7Ganado High School (AZ)10.73195000m 1-5 Gap (2:02.00)
8North Canyon High School (AZ)12.54315000m 1-2 Gap (51.30)
9Mountain Ridge High School (AZ)12.62235000m 1-5 Gap (2:08.29)
10Hamilton High School (AZ)12.71223200m 1-4 Average (13:06.65)
11Salpointe Catholic High School (AZ)14.57365000m 1-3 Gap (1:53.00)
12Coconino High School (AZ)15.91225000m 1-2 Gap (22.50)
13Perry High School (AZ)17.15221600m 1-4 Average (5:48.95)
14Prescott High School (AZ)18.610445000m 1-5 Gap (4:31.00)
15Mesa Mountain View High School (AZ)18.812455000m 1-3 Gap (2:39.39)
16Page High School (AZ)19.07253200m 1-4 Average (13:09.61)
17Mountain Pointe High School (AZ)19.88285000m 1-5 Gap (2:26.00)
18Catalina Foothills High School (AZ)20.115315000m 1-4 Gap (2:01.26)
19Scottsdale Prep Academy (AZ)20.66415000m 1-4 Average (21:15.08)
20Skyline High School (AZ)21.613405000m 1-3 Gap (2:05.81)
21Red Mountain High School (AZ)22.28445000m 1-2 Gap (1:39.73)
22Sandra Day O Connor High School (AZ)22.38485000m 1-2 Gap (1:56.30)
23Shadow Mountain High School (AZ)22.88495000m 1-5 Gap (6:50.76)
24Tuba City High School (AZ)23.310345000m 1-4 Average (21:04.13)
25Corona del Sol High School (AZ)23.59325000m 1-4 Average (20:59.65)
26Queen Creek High School (AZ)24.110425000m 1-4 Average (21:18.25)
27Window Rock High School (AZ)25.39341600m 1-4 Average (5:58.16)
28Horizon High School (AZ)26.79475000m 1-5 Gap (5:17.00)
29Boulder Creek High School (AZ)26.813371600m Top 4
30Empire High (AZ)30.76365000m 1-4 Average (21:07.28), Not Enough Data
31Deer Valley High School (AZ)31.78455000m 1-4 Average (21:27.59)
32Chinle High School (AZ)31.824425000m 1-4 Gap (3:04.30)
33Hopi High School (AZ)33.26501600m Top 4
34Sunrise Mountain High School (AZ)33.617395000m 1-5 Average (21:32.33)
35Maryvale High School (AZ)34.36405000m 1-4 Average (21:11.00), Not Enough Data
36Rincon University High School (AZ)3515483200m 1-4 Average (14:38.46)
37Ironwood High School (AZ)35.220435000m 1-2 Gap (1:24.78), Not Enough Data
38Buena High School (AZ)35.723385000m 1-2 Gap (1:16.10), Not Enough Data
39Saguaro High School (AZ)36.119395000m 1-4 Average (21:08.50), Not Enough Data
40Greenway High School (AZ)36.915435000m 1-4 Average (21:23.89)
41Cibola High School (AZ)37.33481600m 1-4 Average (6:10.13)
42American Leadership Academy (AZ)37.64505000m 1-4 Average (21:33.63)
43Chandler Preparatory Academy (AZ)37.918495000m 1-4 Average (21:32.50)
44Arcadia High School (AZ)38.326505000m Top 4
45Rio Rico High School (AZ)40.525505000m 1-3 Gap (5:06.86)
46Campo Verde High School (AZ)41.130475000m 1-2 Gap (1:43.34)
47Gila Ridge High School (AZ)41.433505000m 1-2 Gap (3:55.00)
48Veritas Preparatory Academy (AZ)41.620505000m Top 5
49Pinnacle High School (AZ)42.82505000m 1-5 Average (21:58.55), Not Enough Data
50Northland Preparatory Academy (AZ)47.226505000m 1-5 Gap (7:12.61), 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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