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How Data (and Some Breathtaking Soccer) Brought Liverpool to the Cusp of Glory

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King Binny

Part of the Furniture
Honorary Member
Interesting bit on on Ian Graham's involvement in recommending Coutinho, Salah and Keita + 'revelation' that the Coutinho money financed the Alisson, van Dijk and Fabinho moves



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Ian Graham, the director of research for Liverpool Football Club.

Jürgen Klopp was in his third week as Liverpool’s manager, in November 2015, when the team’s director of research, Ian Graham, arrived at his office carrying computer printouts. Graham wanted to show Klopp, whom he hadn’t yet met, what his work could do. Then he hoped to persuade Klopp to actually use it.

Graham spread out his papers on the table in front of him. He began talking about a game that Borussia Dortmund, the German club that Klopp coached before joining Liverpool, had played the previous season. He noted that Dortmund had numerous chances against the lightly regarded Mainz, a smaller club that would end up finishing in 11th place. Yet Klopp’s team lost, 2-0. Graham was starting to explain what his printouts showed when Klopp’s face lit up. “Ah, you saw that game,” he said. “It was crazy. We killed them. You saw it!”

Graham had not seen the game. But earlier that fall, as Liverpool was deciding who should replace the manager it was about to fire, Graham fed a numerical rendering of every attempted pass, shot and tackle by Dortmund’s players during Klopp’s tenure into a mathematical model he had constructed. Then he evaluated each of Dortmund’s games based on how his calculations assessed the players’ performances that day. The difference was striking. Dortmund had finished seventh during Klopp’s last season at the club, but the model determined that it should have finished second. Graham’s conclusion was that the disappointing season had nothing to do with Klopp, though his reputation had suffered because of it. He just happened to be coaching one of the unluckiest teams in recent history.

In that game against Mainz, the charts showed, Dortmund took 19 shots compared with 10 by its opponent. It controlled play nearly two-thirds of the time. It advanced the ball into the offensive zone a total of 85 times, allowing Mainz to do the same just 55 times. It worked the ball into Mainz’s penalty area on an impressive 36 occasions; Mainz managed only 17. But Dortmund lost because of two fluky errors. In the 70th minute, Dortmund missed a penalty shot. Four minutes later, it mistakenly scored in its own goal. Dortmund had played a better game than Mainz by almost any measure — except the score.

In soccer, pure chance can influence outcomes to a much greater extent than in other sports. Goals are relatively rare, fewer than three per game in England’s Premier League. So whether a ball ricochets into the net or misses it by a few inches has, on average, far more of an effect upon the final result than whether, say, a potential home run in baseball lands fair or foul or an N.F.L. running back grinds out a first down. Graham brought up another game to Klopp, against Hannover a month later. The statistics were weighted even more heavily in Dortmund’s favor: 18 shots to seven, 55 balls into the box compared with 13, 11 successful crosses from the wing to three. “You lost, 1-0,” he said. “But you created double the chances —”

Klopp practically shouted. “Did you see that game?”

“No, no, it’s just ...”

“We killed them! I’ve never seen anything like it. We should have won. Ah, you saw that!”

Graham had not seen that game, either. In fact, he told Klopp, he hadn’t seen any of Dortmund’s games that season, neither live nor on video. He hadn’t needed to, unless he wanted to experience one of the breathtaking acts of athleticism that can occur in soccer, or the drama of two teams fighting to assert their will upon the other — the reasons, in other words, that most fans watch sports. To understand what happened, all he needed was his data.

Analytics has famously influenced the tactics in professional baseball and basketball in recent years. Ultimately, it may have just as great an impact on soccer, which traditionally hasn’t relied on statistics to figure out much of anything. Graham, who earned a doctorate in theoretical physics at Cambridge, built his own database to track the progress of more than 100,000 players from around the world. By recommending which of them Liverpool should try to acquire, and then how the new arrivals should be used, he has helped the club, once soccer’s most glamorous and successful, return to the cusp of glory.

Two Sundays ago, Liverpool concluded a regular season as compelling as any in the sport’s history. It lost only one of its 38 games in the Premier League, yet it finished second. Manchester City, the defending champion, edged Liverpool by a single point on the last day after winning every one of its league games since January. (In the Premier League, as elsewhere in soccer, a victory counts as three points in the standings and a draw counts as one; Liverpool set the record for the most points in a season, 97, by a runner-up.) In an added fillip for North American fans, Liverpool is owned by the same group of American businessmen who own baseball’s Boston Red Sox, last year’s World Series winners, while Manchester City has a business relationship with the New York Yankees.

At the same time as it was trying to stay ahead of Manchester City, in England, Liverpool was competing against the top teams from other countries in Europe’s Champions League. In the semifinals of that tournament this month, it overcame a three-goal deficit to defeat Barcelona, perhaps this era’s best soccer team. On June 1, it will face a Premier League opponent, Tottenham Hotspur, in the final.

More than other major clubs, Liverpool incorporates data analysis into the decisions it makes, from the corporate to the tactical. How much that has contributed to its recent performance is itself hard to measure. But whatever the outcome of the final, the club’s ascent has already started to make number-crunching acceptable, even fashionable, in England and beyond. As more clubs contemplate employing analysts without soccer-playing backgrounds to try to gain a competitive edge, Liverpool’s season has served as something of a referendum on the practice.

Klopp analyzed no data at Dortmund. In this, he was like most managers. He was consumed by coaching his young team on the field. But by the time Graham left his office that morning in 2015, Klopp’s epiphany was complete. He was convinced that Graham, despite having watched none of Dortmund’s games, appreciated the unusually bad fortune that had befallen the team almost as keenly as if he’d been coaching it himself. Later, Klopp learned that without Graham’s analysis of that season, which was only one aspect of as thorough an investigative process as any soccer club had undertaken to replace a manager, he never would have been hired. “The department there in the back of the building?” he said recently, referring to Graham and his staff. “They’re the reason I’m here.”

In the 79th minute of the second game of the Champions League semifinal, in early May, a ball was deflected out of bounds for a Liverpool corner kick. Trent Alexander-Arnold, a 20-year-old fullback, was about to move toward the middle of the field to let a Liverpool teammate take it. But as he started to walk away, Alexander-Arnold noticed that Barcelona’s players seemed distracted. Only a few were looking his way. “It was just one of those moments,” he said, “when you see the opportunity.” Alexander-Arnold took four steps, a feint as if heading back to his position. Suddenly he reversed direction, ran to the ball and thumped it toward Barcelona’s penalty area.

By then, Liverpool had already staged an improbable comeback to get the semifinal contest back on even terms. The team scored three unanswered goals, matching the three that Barcelona scored at home in the first game of the home-and-away series. Before the series started, Barcelona were the strong favorite to advance to the final, and the outcome of the first game validated that assessment. After that, someone who wanted to win $100 betting on Barcelona needed to risk $1,800 to do it.

For nearly a generation, between 1975 and 1990, Liverpool was dominant. It won 10 titles in England’s top division. It won the European Cup, which preceded the Champions League, four times in eight years. Liverpool F.C. was so successful that for a time it figured as one of England’s most visible exports. Fan clubs were organized throughout Europe, and in places that hadn’t previously followed the sport, such as Australia and across America.

English clubs in those days were owned by ruddy-faced businessmen who had kicked the ball around as boys and made fortunes with stone quarries or parking lots. That changed when the richest men in the world began buying them up. In 1997, the Egyptian businessman and department store owner Mohamed al-Fayed took control of Fulham, a London team in the second division, and led its promotion into the Premier League; in 2003, the Russian oligarch Roman Abramovich, who had made his fortune in oil, aluminum and steel, bought Chelsea; in 2007, Stan Kroenke, the husband of a Wal-Mart heir, began accumulating shares of Arsenal. That same year, the family that had controlled Liverpool for half a century sold out to two American businessmen, Tom Hicks and George Gillett. Hicks owned baseball’s Texas Rangers and hockey’s Dallas Stars; Gillett parlayed an interest in ski resorts into a Nascar team and the N.H.L.’s Montreal Canadiens. Liverpool itself remained a faded port of half a million inhabitants, only marginally less dilapidated than the gritty, gray-toned, postwar city that had produced the Beatles. Its dockside economy attracted far fewer major corporations than London or even Manchester. And it turned out that Gillett and Hicks had little money left for soccer. Within a few years, Liverpool was hundreds of millions of dollars in debt and struggling on the field.

In October 2010, through what was essentially a bankruptcy proceeding, Hicks and Gillett were forced to accept a $480 million bid from New England Sports Ventures. John Henry, the former commodities trader and investment manager who served as the majority shareholder, grew up in small-town Missouri and Arkansas. One of his boyhood passions was A.P.B.A. baseball, a dice game in which the actual performances of major leaguers are translated into cards representing each player; Stan Musial was as likely to hit a triple on Henry’s bedroom floor as he was for the St. Louis Cardinals in Sportsman’s Park. Henry became wealthy from an algorithm he devised that predicted fluctuations in the soybean market. The same sort of analysis is knit into his company’s DNA. Almost no decision there, from hiring executives to where the Red Sox shortstop should play for each batter, is made without it.

At the time that Henry’s group, now known as Fenway Sports Group, acquired Liverpool, the club hadn’t finished atop its league in two decades. Since Fenway couldn’t outspend sheikhs and oligarchs, it needed to be smart. In its first six seasons under Fenway’s ownership, Liverpool finished above sixth place only once. It qualified for the Champions League only one of those years, and was eliminated before the quarterfinals. Its reliance on numbers, many soccer people believed, was undermining the football men who should have been making its decisions. The main obstacle Klopp would need to overcome if he hoped to succeed at Liverpool, the English newspaper The Independent wrote, “will be the club’s deep attachment to the theory that players’ statistics — analytics — can provide most of the answers.”

But Graham’s analytics team can only nudge the team’s outcomes in a positive direction incrementally, one recommendation at a time. And because Klopp also gets advice from more conventional sources, the tactics he chooses end up being a mix of the data-driven and the intuitive. In preparation for the Champions League semifinal, he appeared to focus on how the club’s unusually quick defenders could pressure Barcelona’s forwards, intercepting passes and trying to convert them into instant counterattacks. The plan worked, mostly. In the opening minutes of the first game, Barcelona’s players seemed flustered. But as often happens in soccer, a tactical advantage didn’t translate into an immediate goal. Instead, Luis Suarez, a former Liverpool player, scored for Barcelona.

A 1-0 Liverpool loss would have set up a dramatic second game at Anfield, the atmospheric stadium that has been the club’s home since the 19th century. But late in the match, Barcelona’s Lionel Messi, one of soccer’s greats, scored twice more. The last goal was a free kick that curled around a wall of defenders and just past the outstretched hand of Liverpool’s goalkeeper. It seemed to impart the message that no amount of analytical preparation could overcome the transcendent skill of such a player. “In these moments,” Klopp said after the game, “he is unstoppable.”

In the Champions League, goals scored away from home carry additional weight if the score is tied after both games. That meant if Barcelona scored one goal at Anfield, Liverpool would need five to move on. If that wasn’t daunting enough, two of Liverpool’s best players, Mohammed Salah and Roberto Firmino, were hurt and wouldn’t play. Still, when Divock Origi, the substitute for Salah, scored in the game’s seventh minute, the crowd came alive. Then Liverpool scored two more times early in the second half. That set up Alexander-Arnold’s deceptive corner.

Before taking the kick, he caught Origi’s eye. Then, as Alexander-Arnold raced back to the corner, Origi switched his position. The ball reached him on two hops, and he redirected it into the left side of the net. It was a goal that could never have been scripted, or predicted by any calculations. “We had nothing to do with the fourth goal,” Graham emailed me after the game. “I’m always wary of being assigned credit when none is due.”

The great Brazilian player Pelé once called soccer “the beautiful game.” He didn’t coin the phrase, but after he said it, the description stuck. Fluid, at times balletic, soccer isn’t composed of discrete events, like baseball and American football, and there aren’t dozens of scoring plays to dissect, as in basketball. Rather, much of what happens seems impossible to quantify. Talent is often judged exclusively on aesthetics. If you look like a good player, the feeling is, you probably are.

Most sports use a range of statistics to assess teams and players. Until recently, nobody in soccer cared about much beyond who scored the goals. Now we get updates on how many shots different players have taken, what percentage of the time each team has controlled the ball, and plenty of other metrics. But almost none of that seems to provide a clearer explanation of what’s happening on the field, including which team ends up winning.

For example, a ball deflected by a defensive player over the end line gives the opposition a corner kick — a goal-scoring opportunity. In theory, corners are good, and getting more of them than your opponent would seemingly indicate a successful strategy. Except that corners are more helpful to some teams than others. Teams with attackers who are skilled at redirecting centering passes work to create them, but teams with finishers who have the talent to elude defenders often prefer to take their chances in open play. Those teams don’t try to create corners, and they aren’t especially pleased when they happen.

Or consider time of possession. Teams rarely score without the ball, so having it more than the opponent sounds desirable. Yet some teams don’t want possession of the ball. If you don’t have it, you can’t give it up deep in your own end, a member of Iceland’s defensive-minded national team once told me. Iceland’s ballhandlers aren’t especially adept, so its coaches prioritize keeping the ball far from its goal. In 2016, Iceland advanced to the quarterfinals of the European championships, beating countries many times its size, including England — and tying the tournament’s eventual champion, Portugal. In none of those games did it come close to controlling the ball even half the time.

For these sorts of reasons, soccer was assumed to be unsuited to the analytical approach described in Michael Lewis’s 2003 book “Moneyball,” about how the Oakland A’s baseball team found an advantage by evaluating players using different criteria than everyone else. Soccer seemed impossible to quantify. Much of the game involves probing and assessing, moving the ball from player to player while waiting for an opening. And then the only goal might come from a winger who has done little else — after, say, a faulty clearance by a team that otherwise has been entirely dominant. “Our game is unpredictable,” says Sam Allardyce, who has managed 12 clubs over nearly three decades before Everton fired him last year. “Too unpredictable to make decisions on stats. We’re not talking about baseball or American football here.”
 
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Chelsea created the Premier League’s first analytics department in 2008. Arsenal later bought a statistical analysis company, StatDNA. But the managers of those clubs didn’t see an advantage in applying data to the sport, or they were too busy trying to keep their jobs to figure out how to do it. A few years ago, the OptaPro analytics conference emerged in London as a way for the tiny band of soccer quants to present papers to one another. Still, all those charts with arrows and heat maps revealing where most of the action takes place seemed to have little effect on the game. As new metrics emerged, commentators and coaches took pride in repudiating them. When ESPN’s Craig Burley, a former Premier League midfielder, was asked on the air to comment about a team’s “expected goals,” a formula that calculates how often a team should have scored as opposed to how often it actually did, he replied with disbelief. “What an absolute load of nonsense that is,” he shouted. “I expect things at Christmas from Santa Claus, but they don’t come.”

But teams like Chelsea and Arsenal have resources at their disposal that allow them to accumulate the best talent. Compared with them, Liverpool was essentially in the position of those 1990s A’s teams. A different approach was necessary for it to keep up with them. And all those players running around the soccer field were clearly doing something. Every now and then, too, goals were scored. If collecting and analyzing data could help divine a connection, wasn’t it foolish not to try it?


About half an hour into a game at Anfield last January, the midfielder Naby Keita received the ball from his left and started to dribble with elongated strides. At the time, Liverpool led the Premier League, as it had for much of the season. A loss by Manchester City the previous night gave Liverpool an opening to extend that lead to seven points if it could beat Leicester City now. From his seat in the stands, Graham exhorted Keita.

“Go on, Naby,” he said, in his deep Welsh accent. “Go on!”

Keita passed two Leicester defenders. Then he hesitated for a moment and lost the ball. Graham sighed.

“Ahhhh, Naby,” he said.

Graham grew up an hour’s drive from Cardiff as a Liverpool fan. His childhood in the 1970s and ’80s coincided with Liverpool’s era of dominance. It didn’t hurt that one of the club’s best players, Ian Rush, happened to be Welsh. Before each game, he and the three analysts who work under him compile a packet of information. By the time Klopp decides which of their insights are worth passing along to the team, the equations are long gone; the players are only dimly aware that some of the suggestions are rooted in doctorate-level mathematics. “We know someone has spent hours behind closed doors figuring it out,” says the midfielder Alex Oxlade-Chamberlain. “But the manager doesn’t hit us with statistics and analytics. He just tells us what to do.” Often, the advice contradicts what someone merely watching videos of the games might come to believe. Graham and his team could report that a club’s strong-footed left winger sends booming crosses over the defense toward the goal. But the data indicates that the less impressive crosses coming from the right wing, often accurately placed, result in goals far more frequently. That sounds rudimentary. In soccer, it is practically a revolution.

Graham’s weightiest responsibility is helping Liverpool decide which players to acquire. He does that by feeding information on games into his formulas. What he doesn’t do is make evaluations by watching those games. “I don’t like video,” he says. “It biases you.” Graham wants the club that he works for to win, but he also wants his judgments to be validated. “All of these players, there has been discussion of their relative merits,” he said. “If they do badly, I take it as sort of a personal affront. If I think someone is a good player, I really, really want them to do well.”

Keita is one of Graham’s finds. Born in the West African nation Guinea, he was playing for the Austrian club Red Bull five years ago when Graham noticed the data he was generating; it was unlike any he had seen. At the time, Keita was a defensive midfielder, positioned in front of Salzburg’s defenders. Occasionally, defensive midfielders will evolve into central midfielders, who play farther forward. Keita did. Rarely, if ever, will they emerge as attacking midfielders, whose role is largely offensive. Keita did that too.

Keita’s shifting roles made a muddle of the conventional statistics used to quantify a player’s contribution to his club. For example, the position you play in soccer, unlike basketball, has a significant effect on your chances of putting the ball into the goal, or how frequently you leave your feet to nudge it from an opponent. But Graham disdains those statistics anyway. He has only slightly less contempt for some of the more evolved metrics, like the percentage of attempted passes that are completed. Instead, he spent months building a model that calculates the chance each team had of scoring a goal before any given action — a pass, a missed shot, a slide tackle — and then what chance it had immediately after that action. Using his model, he can quantify how much each player affected his team’s chance of winning during the game. Inevitably, some of the players who come out best in the familiar statistics end up at the top of Graham’s list. But others end up at the bottom.

Keita’s pass completion rate tends to be lower than that of some other elite midfielders. Graham’s figures, however, showed that Keita often tried passes that, if completed, would get the ball to a teammate in a position where he had a better than average chance of scoring. What scouts saw when they watched Keita was a versatile midfielder. What Graham saw on his laptop was a phenomenon. Here was someone continually working to move the ball into more advantageous positions, something even an attentive spectator probably wouldn’t notice unless told to look for it. Beginning in 2016, Graham recommended that Liverpool try to get him. Keita arrived at Liverpool last summer.

As of the January game against Leicester City, Keita’s play hadn’t seemed to justify Graham’s endorsement. The calculations insisted that Keita was doing as well as ever, but few fans realized that — and some of Liverpool’s executives probably didn’t, either. For Keita’s sake, and for the sake of Graham’s peace of mind, some goals or assists would help. In the second half, Keita dribbled the ball through several defenders. Somehow, he emerged with nobody between him and the goalkeeper. As Graham lifted himself halfway out of his seat in anticipation, Keita shot. At the same time, a Leicester player careened into him. The ball went wide, and to the displeasure of Liverpool’s fans, no penalty was called. Graham groaned. Soon after, Keita was removed for a substitute. Graham clapped enthusiastically as Keita left the field, but when I asked if he thought Keita had played well, he wouldn’t give me a definitive answer. He would tell me tomorrow, he said, after he looked at the data.

Graham was laboring through a two-year post-doctorate at Cambridge when he realized he didn’t want to be a scientist. Most of the breakthroughs in his area, polymer physics, had been made years before. “The classic papers had been written in the 1970s,” he says. “So you’re searching around for something you can maybe make a little progress on.” When someone forwarded him a notice for a job at an analytics start-up that was hoping to consult for soccer teams, he was intrigued. He landed the job and was told to read “Moneyball.”

For four years, from 2008 to 2012, Graham advised Tottenham. The club was run by a series of managers who had little interest in his suggestions, which would have been true of nearly all the soccer managers at that time. Then Fenway bought Liverpool and began implementing its culture. That included hiring Graham to build a version of its baseball team’s research department. The reaction, almost uniformly, was scorn. “ ‘Laptop guys,’ ‘Don’t know the game’ — you’d hear that until just a few months ago,” says Barry Hunter, who runs Liverpool’s scouting department. “The ‘Moneyball’ thing was thrown at us a lot.”

Graham hardly noticed. He was immersed in his search for inefficiencies — finding players, some hidden in plain sight, who were undervalued. One afternoon last winter, he pulled up some charts on his laptop and projected them on a screen. The charts contained statistics such as total goals, goals scored per minute and chances created, along with expected goals. I was surprised to see Graham working with such statistics, which he had described to me as simplistic. But he was making a point. “Sometimes you don’t have to look much further than that,” he said.

In 2014, Chelsea acquired the contract of the Egyptian attacking midfielder Mohamed Salah. Salah arrived with a reputation as a rising star, though in two years with a Swiss team he scored just nine goals. At Chelsea, he had what was by all accounts an undistinguished tenure, playing in 13 games over two seasons and scoring twice, while spending much of his time being loaned out to other clubs. Eventually, his contract was sold to A.S. Roma, in Italy. At that point, Salah was considered to have little chance of ever succeeding in England.

Playing in the Premier League is unique, according to the English soccer community. Competition is more balanced than elsewhere; nearly every match is a struggle. English players learn the game in frosted conditions that tend to thwart precision passing, fostering a rough, overtly physical style of play. The intensive media attention is distracting. The weather is often terrible. Some players, the assumption holds, just aren’t suited for it. But others don’t get the chance. “There’s this idea that Salah failed at Chelsea,” Graham said. “I respectfully disagree.” Based on Graham’s calculations, Salah’s productivity at Chelsea was similar to how he played before coming to England, and after he left. And those 500 minutes he played for Chelsea constituted a tiny fraction of his career. “They may be slight evidence against his quality,” Graham said, “but they are offset by 20 times the data from thousands and thousands of minutes.” In the conventional notion that playing in England is different, Graham saw an opportunity — an inefficiency in the system.

Graham recommended that Liverpool acquire Salah, who was thriving in Italy. In American sports, the team might have offered another player in exchange. In soccer, players’ rights are bought and sold in a worldwide marketplace. Once a sale price is reached, negotiations begin with the player. If he isn’t satisfied with the salary being proposed, or if he dislikes the city where the team plays or the manager he will play for, he can remain where he is. Grooming emerging talent and then selling the rights to it for a profit can help smaller teams stay solvent. Even some clubs playing in their countries’ top leagues, such as Germany’s Bayer Leverkusen, use the process to generate enough income to remain competitive. “Transfers are where the money is,” Graham said. “They are a huge component of financial performance.”

That July, Liverpool paid Roma about $41 million for Salah. Graham’s data suggested that Salah would pair especially well with Firmino, another of Liverpool’s strikers, who creates more expected goals from his passes than nearly anyone else in his position. That turned out to be the case. During the season that followed, 2017-18, Salah turned those expected goals into real ones. He broke the Premier League record by scoring 32 times. He also became the symbol of Liverpool’s revival. His crown of curly hair and infectious grin, and his stubby legs that somehow ate up ground as he raced across the turf, made him one of soccer’s most recognizable players. In what turned out to be a harbinger of this year’s progress, Liverpool made an unanticipated run to the final of last season’s Champions League. That provided the first tangible evidence that the strategies put in place by Henry and his Fenway group were working. This season, Salah was one of the three players who led the Premier League in goals. (His teammate Sadio Mané was another.) The website Transfermarkt, which tracks player valuations, estimates his current value at $173 million.

Another acquisition may have been even more important. Soon after arriving at Liverpool, Graham was asked to research a left winger at Inter Milan, Philippe Coutinho. His data strongly endorsed Coutinho. Liverpool bought Coutinho’s rights for about $16 million. Over the next five years, Coutinho’s play contributed to Liverpool’s revival. But his most important contribution was to accrue value. Last year, Barcelona paid Liverpool about $170 million for Coutinho. Soon after, Liverpool spent more than $200 million on three new players: Alisson Becker, the goalkeeper; the midfielder Fabinho; and the centre back Virgil van Dijk. All became crucial contributors this season. These were known commodities, and none came at a bargain price. But without the profit made by selling Coutinho, Henry assured me, those players would not have been acquired.

At Melwood, the club’s training complex in a residential Liverpool neighborhood, Graham works in a white-walled room, down a corridor from the coaches and the cafeteria. Tim Waskett, who studied astrophysics, sits to Graham’s left. Nearby is Dafydd Steele, a former junior chess champion with a graduate math degree who previously worked in the energy industry. The background of the most recent analyst to be hired, Will Spearman, is even less conventional. Spearman grew up in Texas, a professor’s son. He completed a doctorate in high-energy physics at Harvard. Then he worked at CERN, in Geneva, where scientists verified the existence of the subatomic Higgs boson. His dissertation provided the first direct measurement of the particle’s width, and one of the first of its mass. Another club might conceivably hire an analyst like Graham, or Steele, or Waskett, and maybe even Spearman. But it’s almost impossible to imagine any but Liverpool hiring all of them.

As often as possible, the analytics staff arrives at Melwood in time for breakfast. The food in the cafeteria includes locally sourced eggs and five or six kinds of salad greens and beef aged in a glass locker. Players sit at one of two tables with coaches and trainers. The analysts, who look like nobody else in the building, sit at an adjacent table. Greetings are cordial, even friendly. But there’s little evidence that the players know one analyst from another. The morning after the Leicester game, Graham sat with his back to Keita, their chairs touching. Hours before, he’d been shouting at Keita from the stands. Now he was within a foot of him, eating the same poached eggs, yet there was no interaction between the two of them. “If he wants to talk about the game to me, he can initiate that, and I’d be delighted,” Graham said. “Otherwise I’ll leave him in peace.”

At one point, Spearman went to get coffee. He returned with a question rooted in the intersection of breathless fandom and mathematical geekiness: Who would be the most accurately regarded player in soccer? Not the most underrated or overrated, but the one whom conventional wisdom comes closest to gauging correctly.

“It has to be Messi,” he said. “Because if he isn’t the best player in the world, he’s second. So the most that opinion could be off is one place.” As if to punctuate his point, Spearman suddenly spilled his coffee so that it streamed down the middle of the table. The analysts erupted in good-natured jibes. “You’re not doing a good job at convincing anyone that you’re not a nerd,” Waskett said.

Spearman hasn’t had much to do with Liverpool’s recent success. He does almost none of the work that Klopp sees, and he’s rarely involved with discovering players. His mandate is more ethereal. Spearman knows just enough about the sport, or just little enough, to try to change it. “We’re just starting to ask the question, ‘Why don’t we try to play football in a slightly different way?’ ” Graham explains. Soccer is the sum of thousands of individual actions, but the only ones Graham’s model can evaluate are the passes, shots and ball movements that are downloaded from the official play-by-play. “There are still fundamental limitations in the data we have,” Graham says. “It’s still like looking through a very foggy lens.” By working to get the mathematical rendering closer to reflecting what actually happens on the field, recording not just that a defender kicked a pass to a midfielder but how hard it went and what happened when it was received, Spearman is looking to find a path through the fog.

Most of his time is spent creating a model that employs video tracking. It assigns numerical scores to everything that happens to everyone, even when the ball isn’t involved. That includes a fullback racing down the sideline, forcing a lone defender to choose between two players to cover, or a striker getting into position to receive a cross directly in front of the goalkeeper, even if the pass sails over his head — “every action, how much value it adds, how well it was performed,” Spearman says. “Once you have that, you can start to create new approaches.” One might be to script plays, like in the N.F.L., radically altering the nature of a game that has resisted change for more than a century.

First, though, Liverpool needs to figure out how to beat Tottenham. Like baseball’s A’s, this current club still hasn’t won any titles. Another loss in a final, coupled with its Premier League finish behind Manchester City, could be interpreted as confirmation that analytics can get a team only so far. That would be unfair, of course. If soccer were soybeans, you could plug data into an algorithm and know just what to do. Instead, the sport is unpredictable enough to remain fascinating, filled with perfect plans foiled by the imperfections of those sent out to employ them, and undermined by the vicissitudes of chance. The jostle that threw off Keita in the Leicester City game easily could have led to a penalty shot. A successful conversion would have given Liverpool two additional points — and, ultimately, the Premier League title.

But that’s how probability works. Even when odds are diligently calculated, and the options judiciously weighed, the wrong number can still come in. The team that wins isn’t always the one employing the most elegant calculations, or even the one the models predict. It’s a lesson taught by the dice that John Henry rolled during the baseball simulations he played as a kid. That frustrates the analysts, perhaps — but it can make for a beautiful game.
 
It is interesting. There is so much data being gathered every minute, and businesses are catching up with how to use it. Data science and data analytics are going to continue to be big growth fields. Certainly it can be used to enable smarter business decisions - and why not apply it to football? As the article says it won't guarantee success, but it can lead to more informed decision-making, in the transfer market, in training and in diet.
 
I always wondered when a club would pay an American football coach to draw up corner kick plays. The blocking, the slipping between lines and opening up holes, etc. I see it happening a little but it's rudimentary at best.

Heck, we pay a throw in coach. Might as well hire one for corners.
 
I like the bit about Keita, but you have to ask, why dont they just study and tell us how City just win games with ease.
 
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statistically speaking, Citeh doesn't win much more easily than Liverpool.
 
Klopp was more successful with Dortmund than us, winning against an effective monopoly, with far less money than Bayern.

Our success is far more about him than the number cruncher he met at Anfield.
 
It is interesting. There is so much data being gathered every minute, and businesses are catching up with how to use it. Data science and data analytics are going to continue to be big growth fields. Certainly it can be used to enable smarter business decisions - and why not apply it to football? As the article says it won't guarantee success, but it can lead to more informed decision-making, in the transfer market, in training and in diet.

It is not a science.
 
How Liverpool and Tottenham became two of Europe's best-run clubs from the man whose values shaped both
https://www.independent.co.uk/sport...amien-comolli-interview-profile-a8932816.html

Exclusive interview: Damien Comolli explains how with astute owners, intelligent decision-makers and charismatic, modern managers the Champions League finalists have made themselves model clubs at the very top of the game

[article]It is more than seven years since Damien Comolli was sacked by Liverpool, and almost 11 since he left Tottenham. But when those two well-run clubs in the Champions League final in Madrid this Saturday, some of his residual influence will still be felt.

There in the players he signed: Danny Rose for Tottenham and Jordan Henderson for Liverpool.
There in the deals he lined up, like Hugo Lloris, who eventually joined Spurs after Comolli left.

But there most of all in the presence of Comolli acolytes and appointees in key decision making roles at each club. Steve Hitchen, Spurs’ chief scout, was taken from Spurs to Liverpool by Comolli as soon as he joined in 2010. Mike Edwards and Ian Graham, Liverpool’s sporting director and head of research, were both recruited by Comolli, who saw them as two of the best young data analysts in the game.

Comolli insists now that he cannot take responsibility or credit for what has happened since he left these clubs. Asked whether he feels “pride” in their recent achievements, he chooses a different word. “I enjoy seeing all the progress that they made throughout the years,” he tells The Independent. But Comolli has clearly won the argument. He guided Liverpool towards ‘Moneyball’ principles, and Edwards and Graham have taken them to levels no-one else expected.

No-one could dispute now that Liverpool are one of the cleverest clubs in the country. For years their transfer policy was laughed at as nerdy and unrealistic but the last two seasons have been a thumping vindication of it. Two consecutive Champions League finals and a 97-point Premier League season, the third best in history, built on Jurgen Klopp's brilliance, and on the back of astute data-driven buys: Sadio Mane, Mohamed Salah, Virgil van Dijk and Allison.

You can trace the roots of all this back to the start of the decade, when Comolli was appointed director of football in November 2010, and set about revamping how the club did business. He was John Henry’s first major appointment at the club - before Kenny Dalglish replaced Roy Hodgson - and he was tasked with bringing the club’s analysis and recruitment policies into the 21st century.

Comolli appointed Steve Hitchen - now Spurs’ chief scout - as Liverpool’s new head of recruitment. Hitchen was the first man to know that Ajax would put Luis Suarez up for sale in the January 2011 transfer window for just £22m, having followed the player ever since he was at Groningen. “That is why we were able to jump on him before anybody else,” Comolli says. “That is the type of work that [Steve] does. And Suarez was so incredibly successful that he put Liverpool back on the map, he was really like the spark that started the whole thing.”

There were some failures in that first few years of transfer activity under Comolli - Andy Carroll, Charlie Adam, Stewart Downing - but the buy that cost Comolli his job was the one that worked out the best. There was some surprise when Liverpool paid £20million for 20-year-old Jordan Henderson. But Comolli always knew he would be a top player.

“It was a mix of four different factors. The first one: when we looked at his fitness data it was absolutely out of this world. That was very important, to know that he could match the intensity that physically Liverpool should play at. Secondly, when we looked at his technical and tactical data, he was doing things at Sunderland that were as good as some of the top midfielders in the Premier League. The third aspect was live scouting, we all watched him, all came back very enthusiastic about what we saw. And the fourth aspect is the personality. We made a lot of enquiries about what type of individual he was, his behaviour, his obsession for improvement. They talk about marginal gains, with Jordan every day it is ‘how can I improve, how can I gain 5% of marginal gains?’ The other aspect of his personality, when you spend a bit of time with him, you can straightaway tell about his leadership skills, his determination, his commitment. Everything you see on the pitch.”

Henderson was not an instant success at Liverpool and when Comolli was fired in April 2012, he was told that signing was the reason why. “I remember the day I was sacked, the owners told me, Jordan Henderson what a massive mistake it was,” Comolli recalls. “That was about the only thing they told me.”

But seven years on Henderson is about to captain Liverpool into a second straight European Cup final. If there is still any lingering debate about his value as a player, there should not be. “I am obviously very pleased because Jordan played a key part to what is happening at Liverpoool,” Comolli says. “The second leg of the semi-final [against Barcelona] is just… typical Jordan Henderson. The energy he brought to the team, the determination, the commitment, refusing to give up, refusing to lose. So when you put everything together, we were convinced.”

Comolli’s true Liverpool legacy could be in two other signings, far away from the pitch. Comolli “wanted to take Liverpool to another level in terms of analytics,”
in line with how Fenway wanted to run the club. So he revamped the club's approach. “I made a few enquiries around the Premier League and people who worked around the Premier League, data providers, that kind of company. I just said ‘tell me who is the best in the Premier League and I want to go and get him.’ The name that was coming back was Michael Edwards, Michael Edwards. and I got in touch with him and got him.”

Edwards left his job as Spurs’ head of performance analysis - a job Harry Redknapp had got him after Comolli left - to do the same job at Liverpool. Five years later he was made sporting director. “He is just someone who...you are struck with how intelligent he is. That type of guy. I like the fact that he challenges the conventional wisdom, like Billy Beane. Because he’s got an analytical hat on. ‘Why should we do that? Because it’s been done the same for the last 60 years? But what if it’s wrong? Why should we look at it in that way, when the data tells us that we should look at it the other way?’ And that’s exactly why I appointed him at the time.”

Ian Graham earned a PhD in theoretical physics from Cambridge University before becoming head of football research at a firm called Decision Technology, analysing data to judge footballers. That is where Comolli met him when he was still at Spurs. “I met Ian when he was working for Decision Technology,” Comolli says. “I appointed them as our data providers, data analysts at Spurs. So I go back a long time with all those people.” Graham advised Comolli and Spurs on signings.

Graham’s analysis pointed Comolli towards a signing he could not quite make, but who did become a Tottenham legend and is still at the club. “They are the ones, Ian Graham and Decision Technology, who identified Hugo Lloris when he was 21 [and playing for Nice]. We knew Hugo from a scouting perspective, but the data showed us how good he was at 21, and how good he could become with being more mature.” They looked at far more than just Lloris’ save percentage as a youngster at Nice. “Just looking at save percentage can be misleading, and can be inconsistent from one season to another. It is the quality of the shot that has been taken, where the save was made.” Lloris ended up moving to Lyon, but four years later Daniel Levy got his man.

So Graham joined Liverpool too, and Comolli had started to put together a team that would change how football clubs use data, long after his departure. When Comolli was fired in 2012 one report crowed ‘RIP Moneyball’ but in fact those values emerged stronger than ever. “We took there two of the most advanced individuals in terms of analytics in the Premier League, if not the world of football, in Ian Graham and Michael Edwards,” Comolli says. “I knew they were incredibly smart, and they could take any clubs to the next level. Ian and Decision Technology helped Spurs get there and they are obviously doing it at Liverpool as well."

‘Moneyball’ is often misunderstood: it does not just mean analysing players statistically, but assessing which players are undervalued in the market, and how a team can make most efficient use of its resources. Part of the story of Liverpool in the last few years - as well as the unique brilliance of Klopp - has been the vindication of this approach. Mane, Salah, Robertson, Van Dijk and Allison have all been inspired buys, all of them driven by Graham and Edwards realising that the players were undervalued.

“It is not so much [about] helping to identify those players. The whole world knows those players. What data has helped them to do, and all the analysis, it shows that if you spend that much money for a player, actually you will get more than your money back. Because it will take you to a different level.”

“That is where they use the data. Let’s say Salah was worth £100m, but they paid £40m. They knew, looking at the data, that the player was both undervalued by the selling club, and by the market in general. They knew exactly what they were doing.”

Last year Liverpool spent £75m on Van Dijk and £67m on Alisson but no-one could question how much those two have improved the team, more than justifying the money spent on them. “When they go and spend on Van Dijk and Allison - I haven’t spoken to them, but from the outside looking in - they say what is our budget, can we afford those players, and that those players will help us gain two, three, four, five points in the Premier League, or help us to win the Champions League. That’s the way they look at it. When people say they’ve overspent, I’ve never agreed with that. I know how they work, they will look at return on investment, next to data.”

So is this the eventual success of ‘Moneyball’ principles? “Yes, absolutely. You establish which players are undervalued in the market. You establish what the player will bring back to you as a return on investment. So if they pay £142m for Van Dijk and Allison, people will say they’ve overpaid, but what about if they win the Champions League final? Nobody will say they’ve overpaid. And that is the Moneyball principle.”

Comolli’s time at Tottenham was further in the past but he still has happy memories of his time at White Hart Lane. Comolli was just 33 when Levy appointed him as sporting director in 2005, desperate to get Spurs into the top four. Comolli looked at the stats and saw that Tottenham were behind the top four on possession in the opposition half and passing rate into the opponent’s final third, more than anything else. So he set about finding players like Dimitar Berbatov, Gareth Bale and Luka Modric to make that gap up.

Again, Comolli insists that he “certainly would not want to take any credit for anything that has been done recently”. It is very clear how much admiration he has for Levy from that three years they worked together. When Comolli identified Modric, then at Dinamo Zagreb, as a player Spurs had to sign, he was impressed when Levy closed the deal by flying on a private jet to Zagreb to close the deal with Zdravko Mamic. From under the noses of Barcelona. Levy called Comolli at 3am to tell him the deal was done.

“Daniel is one of the most intelligent people I ever came across in my life,” Comolli says. “Hard-working, visionary. And I think it’s a perfect match with Mauricio. Because I think what Daniel and Mauricio have done there is incredible. Each of them in their own field are two geniuses. One on the pitch, the other one off the pitch. This combination of working together, creating an incredible, fantastic team, taking this football club into a new dimension. It was difficult to imagine a few years ago.”

No other club in the game has improved as much in recent years through its own hard work, rather than from an external benefactor. “What [Daniel and Mauricio] have achieved, I don’t think they get enough credit. I can’t think of any football club in Europe from the last 15 years that has made so much progress on and off the pitch: commercial, sponsorship revenues, quality of the squad, style of football played, the best stadium in the world, the best training ground in the world of football, getting to the Champions League final, every year competing in the Premier League, having the lowest wage bill of the top six. I don’t think they get enough credit for what they are doing, Daniel and Mauricio, and the people working with them. I think people should say what you are doing is incredible. There is no other example I can remember of doing what Daniel has done, for the last 15 years.”

Ultimately that is what this final represents: a meeting of two of the best-run clubs in Europe. Two teams who have made the most of the resources. With astute owners, intelligent decision-makers and charismatic, modern managers. Other teams, who just throw money at their problems, could take note.

“It tells you a lot about the quality of the management of both clubs. They are very clever, very intelligent people, bright people, running the two clubs. If you have intelligent people who want to work together, who have a common culture and common values within the club, your chances of success are quite high. If you are Bayern Munich, Real Madrid, Manchester United or Juventus, you’ve got all the money in the world and you think money buys success. Spurs and Liverpool have got a slightly different approach. They’ve got less money than the others, so they’ve got to think differently. That’s why culture, values, having the right people in the right places, that plays a massive role."
[/article]
 
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Oncy Cock would be shrivelling up at this thread and his finger would hovering over the lock and thread and ban buttons

:D
 
No not THAT Graham.

It's a long an interesting article and you'll have to forgive it's constant referencing to aspects of American sports and American terminology to help their readership comprehend.

Key points (there are many more than these) :
No Owners No Klopp
No Graham No Klopp
Salah, Keita : all bought because they scored highly on Graham's algorithm.
Keita : continues to score highly on the algorithm which many fans can't understand (e.g. low pass completion but more difficult passes that should result in a higher Xg).

Ugh. Can't be arsed listing any more (I've had this draft sat here for two days) ! Just read it ;)
 
Do you think Salah and Keita scored highly on his algorithm, or scored highest in their positions out of all the players in the world? Unless it's the latter (which only an idiot would believe), the algorithm is not without some serious limitations.

For example, in finance you can always find lots of undervalued stocks that are bargains compared to the rest of the market. 90% of them are cheap for very good reasons, namely they're utter shit and nobody wants to own them. You can use an algorithm to identify all these candidates much quicker than doing it manually, you can even do some rudimentary filtering of 50% of the shit, but then you always need to do some manual science to filter out the remaining crap from the quality. Graham is either delusional or dishonest by neglecting to mention the entire list of players his code spits out which the club/scouts dismissed out of hand.
 
It's still early days, but I think analytics can change football in surprising ways in the next ten years.
 
Do you think Salah and Keita scored highly on his algorithm, or scored highest in their positions out of all the players in the world? Unless it's the latter (which only an idiot would believe), the algorithm is not without some serious limitations.

For example, in finance you can always find lots of undervalued stocks that are bargains compared to the rest of the market. 90% of them are cheap for very good reasons, namely they're utter shit and nobody wants to own them. You can use an algorithm to identify all these candidates much quicker than doing it manually, you can even do some rudimentary filtering of 50% of the shit, but then you always need to do some manual science to filter out the remaining crap from the quality. Graham is either delusional or dishonest by neglecting to mention the entire list of players his code spits out which the club/scouts dismissed out of hand.
I think that's sort of missing the point. Graham said he tracks about 5,000 players (or was it 6,000?), however if the scouts pick up anyone not in the database then it stands to reason that they would be added. They don't have to have 'scored highest in their positions out of all the players in the world' either, they do however have to fit not only our budget but be available and likely have other non-playing considerations that make them suitable (attitude, adaptability, language, and so on).

As for your "delusional or dishonest by neglecting to mention the entire list of players his code spits out which the club/scouts dismissed out of hand." comment. Do you really think you are picking up on something that Henry, Werner at al. wouldn't have already considered, and addressed ?!
 
I think that's sort of missing the point. Graham said he tracks about 5,000 players (or was it 6,000?), however if the scouts pick up anyone not in the database then it stands to reason that they would be added. They don't have to have 'scored highest in their positions out of all the players in the world' either, they do however have to fit not only our budget but be available and likely have other non-playing considerations that make them suitable (attitude, adaptability, language, and so on).

As for your "delusional or dishonest by neglecting to mention the entire list of players his code spits out which the club/scouts dismissed out of hand." comment. Do you really think you are picking up on something that Henry, Werner at al. wouldn't have already considered, and addressed ?!

Out of those 5000 players, his interview says he recommended Salah, Keita and one other player who escapes me, oh coutinho, hahah lols poor the coutinho. If he recommended only those three players and no others, fair fucks he's a mathematical genius. But the point is that he actually will have recommended 30 others at least, some of whom almost certainly scored higher on the stats, and the real geniuses were the ones with human brains who watched the players and decided who was good and who was shit. Graham neglected to mention this in his interview, hence delusional (blinded himself with confirmation bias) or dishonest (misrepresenting the hit rate of his algorithm by a factor of ten)

The algorithm is a time-saving tool. It saves having to do the physically impossible task of going to watch every player in the world in every one of their games and write reports. That is why it adds value. It allows the club to scour 5000 players and focus on the 30 from whom the best one will probably emerge. That is more efficient than going to watch 100 random players on a whim and picking the best of the bunch. I'm pretty sure Henry knows this, considering his other job must involve working with plenty of trading algorithms. So the club is fine. It's only Graham that is away with the stats fairies and appears to be losing touch with his theoretical physics training.
 
Out of those 5000 players, his interview says he recommended Salah, Keita and one other player who escapes me, oh coutinho, hahah lols poor the coutinho. If he recommended only those three players and no others, fair fucks he's a mathematical genius. But the point is that he actually will have recommended 30 others at least, some of whom almost certainly scored higher on the stats, and the real geniuses were the ones with human brains who watched the players and decided who was good and who was shit. Graham neglected to mention this in his interview, hence delusional (blinded himself with confirmation bias) or dishonest (misrepresenting the hit rate of his algorithm by a factor of ten)

The algorithm is a time-saving tool. It saves having to do the physically impossible task of going to watch every player in the world in every one of their games and write reports. That is why it adds value. It allows the club to scour 5000 players and focus on the 30 from whom the best one will probably emerge. That is more efficient than going to watch 100 random players on a whim and picking the best of the bunch. I'm pretty sure Henry knows this, considering his other job must involve working with plenty of trading algorithms. So the club is fine. It's only Graham that is away with the stats fairies and appears to be losing touch with his theoretical physics training.
The subject of his interview was about stats and how he works. You’re being really weird about this.
It’s not like he’s saying he bypasses Klopp and all other managerial staffs’ input when the club makes a purchasing decision. Where does he take full credit for the recruitment?
 
The subject of his interview was about stats and how he works. You’re being really weird about this.
It’s not like he’s saying he bypasses Klopp and all other managerial staffs’ input when the club makes a purchasing decision. Where does he take full credit for the recruitment?

This bit for example...


"Keita’s pass completion rate tends to be lower than that of some other elite midfielders. Graham’s figures, however, showed that Keita often tried passes that, if completed, would get the ball to a teammate in a position where he had a better than average chance of scoring. What scouts saw when they watched Keita was a versatile midfielder. What Graham saw on his laptop was a phenomenon. Here was someone continually working to move the ball into more advantageous positions, something even an attentive spectator probably wouldn’t notice unless told to look for it. Beginning in 2016, Graham recommended that Liverpool try to get him. Keita arrived at Liverpool last summer."
 
Dantes is "really weird" about everything.

It's not weird, it matters a lot. Kids don't even know what theoretical physics is until they're at university, but they do know all about football from the age of 4. If you feed them fake news about statistical algorithms and graham, it pollutes their mind with data science garbage which might be impossible to undo later on.
 
This bit for example...


"Keita’s pass completion rate tends to be lower than that of some other elite midfielders. Graham’s figures, however, showed that Keita often tried passes that, if completed, would get the ball to a teammate in a position where he had a better than average chance of scoring. What scouts saw when they watched Keita was a versatile midfielder. What Graham saw on his laptop was a phenomenon. Here was someone continually working to move the ball into more advantageous positions, something even an attentive spectator probably wouldn’t notice unless told to look for it. Beginning in 2016, Graham recommended that Liverpool try to get him. Keita arrived at Liverpool last summer."
Don't you also find it really weird then that Klopp gives him credit ? In fact no Graham no Klopp at LFC (which Klopp also gives him credit for).
 
It's not weird, it matters a lot. Kids don't even know what theoretical physics is until they're at university, but they do know all about football from the age of 4. If you feed them fake news about statistical algorithms and graham, it pollutes their mind with data science garbage which might be impossible to undo later on.
Again. I'll take Henry and Werner's judgement over yours. They clearly don't think it's garbage.
 
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