SciSports sign scouting partnership with Pacific FC

We are proud to welcome Pacific FC as the first Canadian club to our growing list of global customers.

Data scouting is becoming an ever-present part of modern-day scouting, and the SciSports Recruitment application continues to lead the way as one of the most sophisticated scouting tools in the market.

Pacific FC’s commitment to excellence aligns perfectly with our mission to drive innovation in player recruitment through cutting-edge data analytics.

Our next-gen metrics to measure Playing Style and Performance will provide the backbone for a sustainable and well-informed decision making, while our unique filters will help the club staff quickly find, screen and compare players based on their overarching philosophy.

The Tridents can now leverage our data-driven tools to gain a competitive edge in identifying and acquiring top talent from around the world.

Vitor da Costa Ferreira, Head of Performance Analysis at Pacific FC: “Our primary objective is to always make the right decision when bringing new talent into our club. We have specific processes in place when scouting to assist us with doing our due diligence and making the best decision possible for our team and the success of our club. The SciSports platform has become an integral part of our scouting process.”

Nikola Blazic, Sales & Business Development Manager – North America at SciSports: “We at SciSports are honored to have Pacific FC as our very first Canadian client. Vitor and his staff are taking their scouting process to the next level with our solution, which attests to their high level of knowledge in the world of player and data scouting. We wish them a best of luck on and off the field this season and may this one be the one for the books!”

ABOUT SCISPORTS

SciSports is the industry standard for football companies and is used to support any decision or action, every day, minute or second. SciSports provides actionable insights to improve football performance by enabling parties to get the most out of football data.