Rhode Island 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 Rhode Island.

RankTeamScoreHighestLowestWeakness
1Cumberland (RI)17.523--
2La Salle Academy (RI)18.81155000m 1-3 Gap (1:53.61), Not Enough Data
3North Kingstown High School (RI)19.74105000m 1-2 Gap (33.09), Not Enough Data
4East Greenwich High School (RI)20.23195000m 1-2 Gap (59.77), Not Enough Data
5St Mary Academy-Bay View High School (RI)21.45115000m 1-5 Gap (2:40.24), Not Enough Data
6Coventry High School (RI)21.61125000m 1-4 Average (21:37.02), Not Enough Data
7South Kingstown High School (RI)22.43335000m 1-2 Gap (1:46.30), Not Enough Data
8Barrington High School (RI)23.16265000m 1-3 Gap (2:40.93), Not Enough Data
9The Prout School (RI)247255000m 1-2 Gap (1:19.72), Not Enough Data
10Ponaganset High School (RI)24.11175000m Top 5, Not Enough Data
11Burrillville High School (RI)24.65145000m 1-4 Average (22:03.88), Not Enough Data
12Portsmouth High School (RI)25.25285000m 1-5 Gap (6:28.05), Not Enough Data
13Mount Saint Charles Academy (RI)25.76195000m 1-4 Average (22:34.43), Not Enough Data
14Smithfield Senior High School (RI)26.18315000m 1-2 Gap (1:45.44), Not Enough Data
15Toll Gate High School (RI)26.210305000m 1-2 Gap (1:36.86), Not Enough Data
16Lincoln High School (RI)28.14215000m 1-4 Gap (3:27.03), Not Enough Data
17Classical High School (RI)28.98385000m 1-2 Gap (2:14.85), Not Enough Data
18Mount Hope High School (RI)28.915305000m 1-3 Gap (2:59.85), Not Enough Data
19North Smithfield High School (RI)29.016345000m 1-2 Gap (1:56.00), Not Enough Data
20North Providence (RI)29.512245000m 1-2 Gap (1:17.00), Not Enough Data
21Westerly High School (RI)30.113375000m 1-3 Gap (6:00.69), Not Enough Data
22Cranston East High School (RI)31.713295000m 1-4 Gap (6:04.75), Not Enough Data
23East Providence High School (RI)31.919405000m 1-2 Gap (2:58.00), Not Enough Data
24Cranston West HS-RI (RI)31.912275000m 1-4 Gap (4:21.00), Not Enough Data
25Davies High School (RI)31.94355000m Top 4, Not Enough Data
26St. Raphael Academy (RI)33.613295000m 1-5 Gap (6:48.81), Not Enough Data
27Rogers (RI)34.316335000m Top 4, Not Enough Data
28Woonsocket High School (RI)34.622375000m 1-2 Gap (2:12.00), Not Enough Data
29Pilgrim High School (RI)34.823315000m Top 4, Not Enough Data
30Moses Brown School (RI)3524355000m 1-3 Gap (4:41.80), Not Enough Data
31Juanita Sanchez High School (RI)36.014365000m Top 4, Not Enough Data
32Narragansett High School (RI)37.728395000m 1-2 Gap (2:55.24), 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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