Serve speed from the top ranking ATP players in Grand-Slam tournaments.
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Self-initiated project developed over my last month at Interactive Things. Thanks to the team for the support and constant feedback.
Data analysis, concept, visualization and development.
As my last project at Interactive Things, a Swiss digital product design studio, I was curious about exploring a subject at the intersection between sport, technology and data. Tennis is the perfect ground that presents a fair amount of data with hidden complexity and intrinsic correlations.
I've spent a significant amount of time during my process understanding and searching for data. Once I had a solid data set, I moved to Tableau for my initial exploration. Since there was no documentation in the data file, I gained familiarity with it while investigating the correlations and exploiting the possibilities. I've avoided to focus on any correlation that would have linked the serve speed to other variables, e.g. the correlation between serve speed and aces rates or the serve variation by player. My assumption, that top-rankings players never perform their fastest serve in Grand Slam finals, were verified with the analysis of the first five players, but I am curious to map the results of many more.
Asking a few good questions, helped me to focus my research, to test my assumptions, to refine my concept, and prevented me from getting lost in never-ending data exploration.