I set out to review the data from the last 12 months. I expected to find that some countries or sites that had abnormally high scores a year ago did not this year. This turned out to be somewhat true but when I sliced the data a number of ways the bigger dataset turned out to be the most interesting and perhaps the most defendable.
The graph below was created with the following criteria:
- Data was mined from http://www.iwsftournament.com/homologation/idopenslalom0419.php
- Skiers #2 through #11 from the current world standings list - Smith was excluded because he skis in Europe less that the other skiers and because his scores tend to be an outlier
- Scores were achieved between April 2014 and August 2019
- Countries shown on the chart had at least one score of 70 balls (4 @ 41) or greater
How to read the Gray bars
- These 10 skiers posted scores from 1717 rounds between April 2014 and August 2019
- The grey bar is the number of rounds per country divided by the 1717
- The grey bar is the percent of total rounds per country
- Example – There are 220 scores in Italy. 220/1717 = 12.81% of all scores in the data set
How to read the colored bars
- The bars include the number of times any / all of the skiers scored at or above 68, 70 or 72 balls in each country.
- That total is then divided by the total number of scores from in each country.
- Example – in the USA, 68 balls (2 @ 41) or more was run 414 times and there were 775 total scores in the USA data set. 414 / 775 = 53. In other words these skiers ran 2 or more at 41 balls 53% of the time.
- The bars show the percentage of scores at or above 68, 70 or 72 balls per country.