Georgia 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 Georgia.


RankTeamScoreHighestLowestWeakness
1Marist (GA)4.642155000m 1-3 Gap (48.88)
2Westminster HS (GA)6.281285000m 1-5 Gap (2:08.04)
3South Forsyth High School (GA)7.21345000m 1-2 Gap (1:03.56)
4Milton High School (GA)7.363175000m 1-2 Gap (33.08)
5Hillgrove (GA)9.43215000m 1-2 Gap (37.23)
6Marietta High School (GA)9.766165000m 1-4 Gap (1:11.84)
7Landmark Christian School (GA)11.51475000m 1-5 Gap (3:21.67)
8Walton High School (GA)12.12385000m 1-4 Gap (2:00.95)
9Mill Creek High School (GA)14.58365000m 1-2 Gap (1:07.63)
10Harrison High School (GA)14.56275000m 1-5 Gap (2:07.75)
11Starrs Mill High School (GA)14.81285000m 1-4 Gap (1:37.43)
12West Forsyth High School (GA)14.81243200m 1-4 Average (12:38.55)
13St. Pius X (GA)15.13225000m 1-5 Gap (1:48.65)
14Creekview (GA)15.67425000m 1-2 Gap (1:33.08)
15Woodstock High School (GA)16.63395000m 1-5 Gap (2:34.93)
16Lovett (GA)17.21291600m Top 4
17Brookwood (GA)18.96325000m 1-2 Gap (1:00.23)
18Flowery Branch (GA)19.010405000m 1-5 Gap (2:35.80)
19Johns Creek HS (GA)19.012275000m 1-4 Average (20:13.23)
20Blessed Trinity (GA)19.211285000m 1-4 Average (20:14.45)
21Lambert HS (GA)19.213355000m 1-2 Gap (1:03.89)
22Woodland (GA)19.55421600m Top 4
23McIntosh High School (GA)20.111375000m 1-3 Gap (1:32.41)
24North Gwinnett (GA)216435000m 1-2 Gap (1:34.27)
25Cambridge HS (GA)22.54405000m 1-4 Average (20:41.74)
26Alexander (GA)25.815415000m 1-5 Gap (2:40.16)
27Alpharetta (GA)26.23435000m 1-4 Average (20:44.85)
28North Paulding HS (GA)26.714395000m 1-4 Average (20:40.84)
29Oconee County High School (GA)30.216485000m 1-3 Gap (2:46.10)
30Kennesaw Mountain (GA)30.821445000m 1-3 Gap (2:09.47)
31White County High School (GA)30.814481600m Top 4
32Woodward Academy (GA)31.913335000m 1-4 Average (20:21.85), Not Enough Data
33Lakeside HS, DeKalb (GA)32.92475000m 1-5 Average (21:12.95)
34Richmond Hill (GA)33.926455000m 1-4 Average (20:50.27)
35Trinity Christian School (GA)344365000m 1-5 Gap (2:29.12), Not Enough Data
36Dunwoody (GA)34.829455000m 1-3 Gap (2:17.53)
37Centennial (GA)353493200m 1-4 Average (13:48.60), Not Enough Data
38Northview High School (GA)35.724475000m Top 5
39Augusta Prep (GA)36.27455000m 1-5 Gap (3:07.00)
40Etowah (GA)37.025465000m 1-5 Gap (3:17.55)
41Peachtree Ridge High School (GA)37.125505000m Top 4
42Pace Academy (GA)37.228395000m 1-2 Gap (1:16.36), Not Enough Data
43Pope High School (GA)40.223495000m Top 5
44Holy Innocents' Episcopal School (GA)40.728505000m 1-5 Average (21:15.52)
45Cherokee (GA)41.523425000m 1-5 Average (20:59.10), Not Enough Data
46Chamblee (GA)42.235455000m 1-2 Gap (1:39.74), Not Enough Data
47Decatur High School (GA)45.336505000m 1-5 Gap (3:59.02), Not Enough Data
48Union Grove (GA)46.037495000m 1-4 Gap (3:18.84), 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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