When Liverpool signed Mohamed Salah from Roma for $49 million in the summer of 2017, few outside Anfield took notice. The Egyptian had managed just two goals in 19 appearances during an earlier stint at Chelsea. The signing was not driven by traditional scouting, as it was instead the product of data analysis.

Salah's transfer has since become the defining example of how analytics transformed soccer recruitment, a ripple effect still felt across Europe today.

The signing almost did not happen as manager Jurgen Klopp preferred Julian Brandt of Bayer Leverkusen. But Liverpool's recruitment committee, led by technical director Michael Edwards and director of research Ian Graham, built a data-driven case that proved impossible to dismiss.

"He came out as the best wide forward in Europe aged 24 or under," Graham told The Athletic. "Mo came with the baggage of having failed in the Premier League, but our data analysis helped us to understand that we could ignore that."

The foundation for that approach had been laid years earlier when Fenway Sports Group purchased Liverpool in 2010, bringing a data-led philosophy borrowed from their success in American baseball. FSG's John Henry had helped end the Boston Red Sox's 86-year World Series drought in 2004 using statistical analysis.

Luke Bornn, who served as Roma's head of analytics in 2015 when Salah was on loan at Fiorentina, said the numbers were overwhelming even then.

"His data was so overwhelmingly strong that it was pretty clear that the option to buy was an absolute no-brainer," Bornn said. "It was just a case of looking at this guy's ability to progress the ball."

Liverpool were not alone in pioneering data-driven recruitment. Arsenal had purchased analytics firm StatDNA in 2012, while Brighton and Brentford built entire club structures around statistical modeling. But Liverpool's combination of financial resources and analytical rigor, validated spectacularly by Salah's subsequent impact, forced the rest of the game to pay attention.

"Liverpool were not the first team to use data," Bornn said. "But going in with Ian Graham and Michael Edwards at the highest level, I think that's really what raised the attention. How many articles were written about AZ in the Netherlands over the last decade? Very few. How many are written about Liverpool's analytics? Hundreds, and Salah took that to the forefront."

Salah finishes his Liverpool career with 257 goals in 441 games, a record surpassed by only two players in the club's history. His signing remains the clearest illustration of what the sport's data revolution can produce when backed by organizational courage.

"Using data consistently is really hard, because you're consistently overriding your human intuition," Bornn said. "It's that 20 percent, when there's a real disconnect with what you see with your eyes, where you get the benefits."