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From Data to Medal: Clément Bourgeois’s Case Study
Watch Clément Bourgeois’s Case Study Video
Data and sports performance go hand in hand, even on the water. Clément Bourgeois, a high-level IQ Foil athlete, is aiming for a medal at the 2028 Los Angeles Games. To achieve this, MeltOne developed a custom data application with him. It analyzes his starts, training sessions, and competitors. This case study was presented at the “From Data to Medal” conference.
Key Figures on Clément’s Support
40 to 60 km/h
Constant speed during race
80%
The importance of the start in race success
1 to 2 seconds
Delay detected at the start results in 10 to 20 meters
4 months
Of preparation before the World Championships
The Challenges: How Can Data Improve Sports Performance?
In 2022, Clément had one of his best seasons, reaching the world top 5 and securing podium finishes. He wanted to analyze these results to replicate or even surpass them. However, he had no accessible data or simple tools at the time.
Three key challenges emerged from his project:
-
Monitor his training
in a highly personalized way, going beyond Strava or Garmin. -
Understand his competitors
Thanks to tracking data from major events. -
Explore data
To identify what leads to victory.
Solution Choice: A Custom Data Application
Clément was looking for a sponsor whose core business was data. MeltOne is a French consulting and integration firm. The project therefore aligned with its sporting DNA. Furthermore, Clément’s engineering background facilitated the development.
The project unfolded in five stages:
- The specifications. Clément brought his experience from the 2024 Olympic selection, which he narrowly missed.
- The dedicated team. Next, a MeltOne team took charge of the development.
- Knowledge transfer. Explaining windsurfing, starts, and data was a real challenge.
- Dashboards and debriefings. The data part progressed very quickly.
- Continuous evolution. Finally, the application adapts to the competitions and indicators Clément needs.
“I came with my specifications, with my experience. […] Then, with a team within MeltOne, we managed to develop this tool. It was quite complex because sailing and windsurfing, in general, are not well known. However, the data expertise and the implementation of dashboards, all these debriefings, were extremely fast.”
Results: What Data Changes for Clément
First, the application is used for training in World and European Cups. Clément then worked on his starts for four months. During the last World Championship, he achieved one of the fleet’s best days. This applied to both the first and last days. These days included six-minute slaloms.
Next Step: AI Upon Leaving the Water
After three to four hours on the water, the athlete needs to recover, eat, and sleep. Therefore, he doesn’t have time to explore the data. He envisions a chatbot connected to his database to get leads for work in less than an hour.
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Frequently asked questions
It reveals weaknesses, such as a delayed start. This allows the athlete to work on them during training.
It uses GPS, competitor tracking, and heart rate curves. Additionally, it automatically segments the races.
Clément wanted a personalized application that was quick to evolve and controlled. Generic tools did not allow for this.
Yes. The framework is universal: data comes in, questions arise, and data provides answers. MeltOne can therefore reuse this foundation.
MeltOne developed the application with a dedicated team. It then evolves it throughout competitions.