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.
Rankings
| Rank | Team | Score | Highest | Lowest | Weakness |
|---|---|---|---|---|---|
| 1 | Middleton (WI) | 3.84 | 2 | 20 | 5000m 1-3 Gap (20.50) |
| 2 | West Bend West (WI) | 4.24 | 1 | 19 | 5000m 1-4 Gap (46.82) |
| 3 | Marquette High School (WI) | 7.16 | 5 | 11 | 5000m 1-4 Gap (30.24) |
| 4 | Notre Dame Academy (WI) | 10.8 | 1 | 19 | 5000m 1-4 Average (16:59.70) |
| 5 | Green Bay Preble (WI) | 12.2 | 7 | 20 | 5000m 1-3 Gap (32.24) |
| 6 | Lakeland Union (WI) | 13.1 | 1 | 31 | 1600m Top 4 |
| 7 | Arrowhead (WI) | 13.6 | 2 | 39 | 3200m 1-4 Average (10:46.15) |
| 8 | Baraboo (WI) | 13.7 | 10 | 30 | 5000m 1-5 Gap (1:11.88) |
| 9 | Pewaukee (WI) | 14.1 | 2 | 45 | 5000m 1-5 Gap (2:06.90) |
| 10 | Madison La Follette (WI) | 14.7 | 1 | 42 | 5000m 1-2 Gap (51.72) |
| 11 | Whitefish Bay (WI) | 15.6 | 8 | 29 | 5000m 1-2 Gap (24.27) |
| 12 | Wisconsin Lutheran High School (WI) | 16.0 | 12 | 28 | 1600m 1-4 Average (4:47.55) |
| 13 | Verona Area (WI) | 18.4 | 5 | 40 | 5000m 1-2 Gap (49.40) |
| 14 | La Crosse Logan (WI) | 20.0 | 13 | 34 | 5000m 1-5 Gap (1:22.58) |
| 15 | Kenosha Bradford (WI) | 20.1 | 3 | 40 | 5000m 1-5 Average (17:28.95) |
| 16 | Stevens Point (WI) | 20.5 | 5 | 35 | 5000m 1-3 Gap (50.43) |
| 17 | McFarland (WI) | 21.2 | 7 | 42 | 5000m 1-4 Average (17:20.16) |
| 18 | Sun Prairie (WI) | 21.5 | 4 | 30 | 5000m 1-2 Gap (24.82), Not Enough Data |
| 19 | Germantown (WI) | 21.6 | 11 | 36 | 5000m 1-4 Gap (1:07.57) |
| 20 | Neenah (WI) | 22.6 | 4 | 41 | 1600m 1-4 Average (4:51.47) |
| 21 | Kimberly (WI) | 22.6 | 4 | 50 | 5000m 1-5 Gap (2:27.18) |
| 22 | New Berlin Eisenhower (WI) | 23.8 | 9 | 15 | 1600m 1-4 Average (4:44.77), Not Enough Data |
| 23 | Shorewood (WI) | 23.8 | 12 | 40 | 5000m 1-4 Average (17:18.55), Not Enough Data |
| 24 | Madison Memorial (WI) | 24.2 | 8 | 46 | 1600m 1-4 Average (4:53.16) |
| 25 | Janesville Craig (WI) | 25.3 | 7 | 40 | 3200m 1-4 Average (10:47.27) |
| 26 | Madison West (WI) | 27.0 | 1 | 32 | 5000m 1-4 Average (17:13.24), Not Enough Data |
| 27 | Waukesha North (WI) | 27.2 | 4 | 25 | 5000m 1-4 Average (17:05.39), Not Enough Data |
| 28 | South Milwaukee (WI) | 27.8 | 3 | 45 | 5000m 1-4 Gap (1:47.29) |
| 29 | Oak Creek (WI) | 28.2 | 15 | 49 | 5000m Top 4 |
| 30 | Brookfield East (WI) | 28.9 | 5 | 39 | 5000m 1-4 Average (17:18.15) |
| 31 | Wauwatosa East (WI) | 30.7 | 22 | 47 | 5000m 1-3 Gap (1:27.70) |
| 32 | Ashwaubenon (WI) | 30.8 | 9 | 46 | 5000m 1-2 Gap (1:09.69), Not Enough Data |
| 33 | Homestead (WI) | 31.5 | 12 | 48 | 5000m 1-3 Gap (1:52.14) |
| 34 | Darlington (WI) | 31.7 | 23 | 41 | 5000m 1-2 Gap (50.20) |
| 35 | Franklin (WI) | 31.7 | 24 | 38 | 5000m 1-5 Gap (1:38.07) |
| 36 | Oconomowoc (WI) | 32.1 | 13 | 41 | 5000m 1-3 Gap (1:02.62) |
| 37 | D. C. Everest (WI) | 32.6 | 12 | 46 | 1600m Top 4 |
| 38 | Racine Horlick (WI) | 33.0 | 23 | 45 | 3200m 1-4 Average (10:51.43) |
| 39 | Cedarburg (WI) | 34.0 | 23 | 49 | 5000m 1-3 Gap (1:53.51) |
| 40 | Hudson (WI) | 34.2 | 24 | 45 | 5000m 1-4 Average (17:23.55), Not Enough Data |
| 41 | DeForest (WI) | 35.6 | 18 | 46 | 5000m 1-3 Gap (1:17.61) |
| 42 | Menomonie (WI) | 36.3 | 16 | 49 | 5000m 1-5 Average (17:39.90) |
| 43 | Stoughton (WI) | 39.2 | 21 | 50 | 1600m 1-4 Average (4:55.43) |
| 44 | Little Chute (WI) | 39.8 | 14 | 50 | 5000m 1-3 Gap (1:54.09), Not Enough Data |
| 45 | Cedar Grove - Belgium (WI) | 43.0 | 2 | 50 | 5000m Top 5, Not Enough Data |