How Liverpool FC used big data to gain an edge
BY Josh Williams
3rd Apr 2024 Sport
5 min read
In his new book Data Game: The Story of Liverpool FC's Analytics Revolution, Josh Williams explores how the football club used big data to rise to greatness
After taking over Liverpool FC, Fenway Sports Group used the example of American sports and big data insights to give the football club a strategic advantage, impacting tactics and recruitment.
In this extract from his new book, Data Game: The Story of Liverpool FC's Analytics Revolution, Josh Williams explores how this marriage of data and football began and how, over the course of around a decade, Liverpool FC became an industry leader in data science.
Scouting what matters
In 2019, RunRepeat conducted a study surrounding the
presence of bias in football. The Danish research firm analysed 2,073
statements from commentators in 80 football matches, discussing 643 unique
players of various races and skin tones. Their findings suggested that, when
talking about intelligence, 62.6 per cent of praise was directed at players
with lighter skin, whereas 63.3 per cent of criticism was aimed at those with
darker skin. When speaking about power, commentators were around 6.6 times more
likely to be talking about players with darker skin tones. When talking about
work ethic, 60.4 per cent of praise was aimed at players with lighter skin
tones.
Whether it’s conscious or unconscious, players are often
judged and evaluated because of irrelevancies. Too much attention tends to be
given to details that simply don’t matter. If a football player decides to wear
gloves on the pitch, they can be sure that some spectators, including scouts,
will derive conclusions about elements of their character. A male player’s
hairstyle can impact how he’s perceived, and the same goes for whether a player
is inclined to shout at their teammates or not. From a player’s nationality to
the colour of their football boots to the number of cars in the garage to
whether or not they watch football in their spare time, opinions are forever
being shaped. The infamous and perhaps exaggerated recruitment scene in Moneyball involves scouts coming to
conclusions about a baseball player because of the shape of his jawline and the
appearance of his girlfriend. Some elements matter, others certainly do not.
The curious case of Naby Keïta
Naby Keïta (back) was one of the Liverpool signings because of data, but was beset by injuries. Credit: Werner100359
"The players I really like are those who shine through in
the data, but don’t naturally shine through for your typical football fan or scout," he
said. "Awkward, ungainly players, or players who have been overlooked, for various other
purposes". Naby Keïta was one of [Liverpool FC Director of Research from 2012-23] Ian Graham’s leading lights. He was an analytics
darling who portrayed himself as a restless, all-action midfielder in the
numbers.
Keïta was always best loved by those who consulted data
before forming their opinions. All was going according to plan before Keïta picked up his
first setback at Liverpool just eight matches into his first Premier League campaign. His
next came in March, followed by another in May. Keïta was injured for the start of the
following season, and with Trent Alexander-Arnold and Andy Robertson quietly establishing
themselves as full-back creators who rarely missed a single minute of action, Klopp’s
blueprint for the development of his team was cautiously changing.
With Liverpool’s playmaking
full-back duo growing in prominence, the need for an expressive and audacious
midfielder like Keïta was lessening. Klopp suddenly required little more than a safety net in the
middle of the park, with Henderson thriving as a functional presence who simply did a
job for the team alongside Gini Wijnaldum and Fabinho. Keïta was almost tasked with playing
within himself whenever he was free from injuries and presented with game time.
Unearthing Andy Robertson
Andy Robertson (fourth from right) was part of the Liverpool FC team that won the 2019 Champions League
Robertson was once earmarked by Graham as another one of his
gems. The Scottish left-back moved to Anfield around five weeks before Liverpool
struck a deal with Keïta’s representatives, costing as little as £8m. He was a proper Moneyball signing. Just 23 years old at the time, Robertson was contracted to Hull City, who
struggled at the foot of the Premier League. He formed part of a dysfunctional outfit
and, because of their failure to compete, Robertson spent most of his time defending and was
rarely allowed to venture into the final third. Nevertheless, Liverpool recognised his
offensive qualities and believed he would prosper in a different and more favourable
environment.
"Liverpool recognised Andy Robertson's offensive qualities and believed he would prosper in a more favourable environment"
"One of my favourite players is Robertson, our left-back,
one of the best left-backs in Europe, and now a European champion of course," Graham later
said. "His problem was his background as much as anything. He only started playing
Premier League football around the age of 22. He was the best young full-back
in Britain at the time. He was a strange case of a really attacking full-back
playing in a really poor defensive team".
Coming together as an entity
Peter Moore, who was CEO from 2017 until 2020, was a
speaker at the World Football Summit in 2019. The Liverpool-born business
executive offered an insight into the inner workings of the club in his talk.
"It's an experienced eye looking at an athlete, combined with data and psychological outputs"
"We look at data. There’s a merging of that data with experienced eyes, so the
analogue and the digital come together, and a lot of that legacy is the belief
that John Henry, Tom Werner and Mike Gordon have in owning the Boston Red Sox.
They hadn’t won the World Series for 86 years, but applied science and
technology to analysing players and understanding what players need for the Red
Sox to create the best chance to win. It is that combination of an experienced
eye looking at an athlete combined with data, combined with psychological
outputs. We have a sporting director who is akin to a general manager in
American sports. He and our scouting staff and analytical staff are the ones
who build the squad. Jürgen Klopp as the manager gets the best out of that
squad. Together we come together as an entity".
Recognising the real Mohamed Salah
Mohamed Salah is perhaps the most obvious of Liverpool’s
data-fuelled transfers. Julian Brandt was reported as the man that Klopp
wanted. The Bayer Leverkusen prospect was showing signs of becoming a star in
his homeland, but Edwards and Graham had other ideas. Salah, according to their
analysis, was the man to get. "He will score goals, trust us," was the message
to Klopp. He was regarded as a Premier League flop because of his failed spell
at Stamford Bridge, but the label was unfair. "Salah didn’t fail at Chelsea," said Graham. "He failed to get on the pitch".
"You didn’t need a PhD to recognise that Salah was an output merchant"
You didn’t need a PhD to recognise that Salah was an output
merchant. His basic offensive numbers were enough to grab the attention of even the most
amateur analyst. The list of records broken by the Egyptian captain after he
returned to English shores is almost endless. Of all of the players signed by
Liverpool during the FSG era, nobody endorsed their scientific approach more
appropriately than the guy who seemed to accumulate numbers in his sleep.
Data Game: The Story of Liverpool FC's Analytics Revolution (Pitch Publishing) by Josh Williams is available now
Banner photo: Mo Salah holding the European Super Cup after Liverpool become champions in 2019. Credit: Mehdi Bolourian
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