Utah 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 Utah.

1Timpanogos (UT)3.561131600m 1-4 Average (4:31.52)
2Springville (UT)6.681343Mile 1-3 Gap (56.70)
3American Fork (UT)7.62223Mile 1-4 Gap (49.20)
4Westlake (UT)7.684223Mile 1-2 Gap (19.62)
5Riverton (UT)8.881181600m 1-4 Average (4:38.54)
6Davis High School (UT)9.043373Mile 1-2 Gap (38.37)
7Stansbury High School (UT)9.083213Mile 1-2 Gap (19.30)
8Pine View (UT)11.05363Mile 1-2 Gap (35.20)
9Olympus (UT)11.83413Mile 1-4 Gap (1:40.20)
10Skyridge (UT)12.21203Mile 1-4 Average (16:28.35)
11Desert Hills High School (UT)13.32333Mile 1-2 Gap (31.40)
12Herriman High (UT)15.09211600m 1-4 Average (4:41.78)
13Lone Peak (UT)16.64453Mile 1-5 Gap (2:25.90)
14Orem (UT)16.75243Mile 1-2 Gap (21.20)
15Woods Cross (UT)16.76333Mile 1-3 Gap (52.60)
16Ogden (UT)18.410403Mile 1-2 Gap (45.20)
17Corner Canyon (UT)18.810283Mile 1-2 Gap (25.40)
18Fremont (UT)19.62473Mile 1-3 Gap (1:27.30)
19Timpview (UT)19.94493Mile 1-5 Gap (3:03.00)
20Bonneville (UT)20.113363Mile 1-5 Gap (1:45.40)
21Bingham (UT)20.53283Mile 1-4 Average (16:46.38)
22Richfield (UT)20.72303Mile 1-4 Gap (1:06.80)
23Ridgeline High School (UT)23.010301600m 1-4 Average (4:47.64)
24Park City (UT)24.713373200m Top 4
25Alta (UT)25.36423Mile 1-5 Gap (1:55.70)
26Hurricane (UT)26.816493Mile 1-4 Gap (2:46.60)
27Pleasant Grove (UT)30.917363Mile 1-4 Average (17:01.27)
28Viewmont (UT)31.119493Mile 1-2 Gap (1:33.13)
29Bear River (UT)31.12431600m Top 4
30Spanish Fork (UT)31.525443Mile 1-2 Gap (1:05.70)
31Copper Hills (UT)31.616463Mile 1-4 Average (17:21.88)
32Canyon View (UT)31.625411600m 1-4 Average (4:51.94)
33Morgan (UT)31.712403Mile 1-4 Average (17:06.50)
34Skyline High School (UT)3218453Mile 1-4 Average (17:19.47)
35Northridge (UT)32.016443Mile 1-5 Average (17:28.02)
36Cedar High School (UT)33.022483Mile 1-3 Gap (1:40.40)
37Salem Hills (UT)33.02433200m Top 4
38Logan (UT)33.72461600m Top 4
39Wasatch High School (UT)34.323451600m Top 4
40Emery (UT)351473Mile 1-4 Average (17:26.60), Not Enough Data
41Mountain View (UT)35.031413Mile 1-5 Gap (1:52.60)
42Hillcrest (UT)35.514343Mile 1-4 Average (16:55.68), Not Enough Data
43Weber (UT)37.129473Mile 1-2 Gap (1:18.50)
44Layton (UT)37.331461600m 1-4 Average (4:55.89)
45Bountiful (UT)38.69473Mile 1-5 Gap (2:50.10)
46Maple Mountain High School (UT)40.230503Mile 1-5 Average (17:39.87)
47Union (UT)44.334453Mile 1-2 Gap (1:08.30), Not Enough Data
48Grantsville High School (UT)44.429503Mile 1-3 Gap (2:14.20), Not Enough Data
49West High School (UT)46.831491600m Top 4, 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.