About Us

 

SailingPerformance was born shortly after the 32nd America’s Cup. Our vision is to provide the best data analysis services for racing yachts.

Over the years we have been continuously developing our proprietary tools and methods for data analysis applied to the field of high performance yacht racing. The race results of the teams we work with is a tribute to the quality of our services.

Cyrille Douillet - CEO

Cyrille Douillet - CEO

Ms degree in Mathematical Modelling (France) & CFD (Yacht Research Unit, Auckland).

Prior to starting SailingPerformance Cyrille worked in Auckland’s Twisted Flow Wind Tunnel, took part in the 31st and 32nd America’s Cup. He was the performance analyst for the two Telefonica boats in the 2009 Volvo Ocean Race, and for Team Groupama, winner of the 2012 edition.

Cyrille founded SailingPerformance in 2012 and has since then been in charge of performance analysis for all of the winning Volvo Ocean race teams (AbuDhabi in 2015, DongFeng in 2018 and 11th Hour Racing in 2023).

He was the head analyst for Groupama Team France during the 35th America’s Cup in 2017 in Bermuda

He worked for 6 years with SailGP both for teams and for the organisation (2019 to 2025)

He is also involved in a number of high-end projects such as Raven Baltic 111 and MagicCarpet-e Wally cento.

His expertise lies in data analysis, software development and databases, and is always on the lookout for new technologies.

Lockie Stewart Baker - Performance analyst

Lockie Stewart Baker - Performance analyst

Originally from Sydney, Australia, Lockie spent many years sailing on the harbor and competing in offshore races before moving to Europe in 2008 to join the TP52 circuit. He sailed on everything from dinghies to superyachts and has raced on numerous yachts as a navigator. For the past years, he has been working with SailingPerformance, focusing on optimizing speed, VMG, sail crossover, and other key performance metrics.

CONTACT

Send us your questions and quote requests.

info@sailingperformance.com

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