When Depay was struggling at Manchester United, his agent Keith Progsma took a radical move in order to save the Dutchman's career.
Depay's move to Manchester United was done by Van Gaal, but he fell out of favor completely under Mourinho. In the first half of the 2016-17 season, Depay only got a few opportunities to come off the bench in the league. The Dutch's self-confidence and state have fallen to the bottom. Under this circumstance, Case gave up the traditional way of speculation and drilling as a broker and turned to big data for help.
Case had many meetings with SciSports, a sports data analysis company from the Netherlands. The company’s founder and chief innovation officer Giles Blowell is facing The Athletic said in an interview: "Keys wants us to go to Manchester to talk to Depay. We went to his house and watched Real Madrid's Champions League game against Dortmund on the sofa. We need to figure out why he couldn't integrate into Manchester United. Tactical system. Depay explained from his own standpoint. He said that he needs to rebuild his confidence and become an important part of the team again. Finally, he said,'I need to have the freedom to play.'"
Case与来自荷兰的体育数据分析公司SciSports举行了多次会议。该公司的创始人兼首席创新官Giles Blowell面对The 竞技在接受采访时说：“基斯希望我们去曼彻斯特与德佩交谈。我们去他的房子，看着皇马在沙发上对阵多特蒙德的冠军联赛比赛。我们需要弄清楚为什么他不能融入曼彻斯特联合战术系统。德佩（Depay）从他自己的立场进行了解释。他说，他需要重建信心，并再次成为球队的重要组成部分。最后，他说，“我需要有自由发挥的能力。”
SciSports, founded in 2003, is a data analysis company that provides diverse services. The first service is to provide data for the club as an online scout. The company's database covers more than 90,000 players from more than 3,600 clubs. Clubs can subscribe to this service on a monthly basis, and this service also applies to brokerage companies. In addition to a huge database, SciSports can also provide customized reports for clubs and brokerage companies.
Brouville continued: "We analyzed his previous data in Eindhoven and the Dutch national team. We found that Depay needs a lot of energy on the defensive end after moving to Manchester United, and he has freedom on the offensive end. It is also severely restricted. Depay also put forward other demands: "I like to dribble from the left to break through, I like a fast-paced team, I hope I have time to use in front of me." We will include all variables. Calculating the program, and then came up with a model. In the end, five teams came to the fore, and the head coaches of these five teams won’t have any problems getting along with Depay. Lyon ranked first in the match."
Case took the report and made contact with the Lyon team. The subsequent business operations are much simpler. On the one hand, Depay's value has shrunk significantly. On the other hand, Manchester United also wants to stop the loss in time, so the two sides hit it off. Depay has had contact with Everton, Fenerbahçe and some strong teams from Germany, Italy and Spain before, but the data shows that of all these teams, only Lyon is the most preferred. After joining Lyon, Depay surrendered 43 goals and 32 assists in 102 Ligue 1 games for the team, and once again became one of the core players of the Dutch national team.
Nowadays, cooperation between brokerage companies and data companies is no longer new. For example, suppose that the agent of a young player in Manchester United finds a data analysis company and asks the company to issue a customized report on the player under its umbrella, and based on the report on the player’s current ability and potential. Describe, compare various indicators and salaries with similar players in Europe, and benefit from contract renewal negotiations based on the conclusion.
SciSports alone maintains a cooperative relationship with 10 brokerage companies, including Belgium's A-Group, whose players include Belgian internationals Wiltongen and Moussa-Dembele; the Netherlands' SEG brokerage company serves Germany Pei, Van Persie and other national stars; as well as Belgium's Stirr company, Aldweirelder and Mertens and other stars are their customers.
Brouville explained: "We can provide agency companies with the following services: to inspect the players they are interested in for agencies-agencies can show reports to the players, on the one hand, show sincerity, on the other hand Reflecting professionalism is more conducive to persuading the target players to belong to the banner; we can also find suitable next homes for the players; when the brokerage company expands their business, they will also need our assistance-if they establish an office in Slovakia, hope To locate the 10 most promising rising stars in Slovakia, we can design a set of algorithms according to their needs and finally achieve the goal."
There is more than one company like SciSports. In England, Analytics FC can provide similar services. Company founder Jeremy Steele said that he and the brokerage company First Access Sports has a close relationship and has been entrusted by it to produce a customized report for Chelsea player Odoi, which played an important role in Odoi's contract extension negotiations with Chelsea. Before Odoi, Steele also provided the same service for Boga and Bolasier.
像SciSports这样的公司不止一家。在英格兰，分析 FC可以提供类似的服务。公司创始人杰里米·斯蒂尔（Jeremy Steele）说，他和经纪公司First Access 体育与它有着密切的关系，并受其委托为切尔西球员奥多伊制作一份定制报告，这在奥多伊与切尔西的续约谈判中发挥了重要作用。在Odoi之前，斯蒂尔还为Boga和Bolasier提供了相同的服务。
In the dialogue with the brokerage company, some issues will be more sensitive. For example, what if the data analysis report makes the agent or the player overestimate their true value?
Steele said: "We also need to be prudent, because we don't want to go back and tell people that he is not so good. But we can't tell lies, the data will not lie. If you want us to define Europe The player with the most potential, but in the end he did not meet expectations. I can only say sorry. At the same time, I do not recommend that customers continue to use this report."
SciSports' Blueville agreed: "A player recently found us, and in the end we could only tell him:'We failed to find you a team that suits you.' If you force him to list five teams , But in the end no team was willing to sign him, and there will be no agency companies to cooperate with us in the future. Sometimes I just say to my agent: "You still don’t let us report it, it will disappoint you "Some agents will be very upset after hearing this, but there are also two types of agents: one is to make profits in the short term and then run away; the other is to serve players for a long time and plan their career paths for the players. To make it develop steadily, of course, they are good for themselves and their players by doing this. Directly dealing with players will also encounter problems of this kind, because some players are always blindly confident and think that they are better than anyone else.
For example, suppose that the end of a player's career is Real Madrid, the agent can use our report to let him stop a few more stops in the middle of joining Real Madrid, step by step to the peak. If a player can reach the height of playing for Juventus, he can be honed for a few years in a team like Atlanta, the truth is the same. This shows that with our services, the agency can better plan a player's career.
In fact, the influence of the agent has penetrated into all aspects of the sport. At the same time, in the past 20 years, the application of data analysis in the football field has developed rapidly-player performance, training, tactics, set kicks and signings are all inseparable from the support of data analysis. Liverpool's success can explain the problem. Red Army Sports Director Michael Edwards is behind Dr. Graham, who has a doctorate in applied physics from the University of Cambridge, and Will Spearman, a top student of Harvard University who once worked for the European Organization for Nuclear Research.
实际上，代理商的影响已渗透到这项运动的各个方面。同时，在过去的20年中，数据分析在足球领域的应用发展迅速，球员的表现，训练，战术，踢球和签名都离不开数据分析的支持。利物浦的成功可以解释这个问题。红军体育部主任迈克尔·爱德华兹（Michael Edwards）落后于格雷厄姆（Graham）博士，后者拥有剑桥大学的应用物理学博士学位，而哈佛大学的顶尖学生威尔·斯皮尔曼（Will Spearman）曾在欧洲核研究组织工作。
After all, the relationship between modern football and data can no longer be separated. However, the freezing of three feet is not a day's cold. Big data has also come a long way on the road to affect football. Let us briefly review the history of football big data.
A scout currently working for BIG4 in the Premier League said: "There are two ways of working, and these are also two ways of investigating players. We can attribute them to two movies. You like Clint Eastwood in " Do you like the character in "The Curve Conundrum", or do you like Brad Pitt in "Penalty Kick"?"
Eastwood's role Gus-Robel is a typical old-school scout. Then there is the role of Brad Pitt. Billy Bean in the movie is good at discovering low-cost, high-powered players based on data analysis. The conflict and confrontation between these two genres are becoming more and more fierce, and some people even think that the appearance of data analysts in the football field is to destroy the sport.
伊士活的角色古斯·罗贝尔（Gus-Robel）是典型的守旧派侦察员。然后是布拉德·皮特（Brad Pitt）的角色。电影中的比利·宾（Billy Bean）善于根据数据分析发现低成本，高能力的播放器。这两种类型之间的冲突和对抗越来越激烈，甚至有人认为足球场上的数据分析人员的出现正在破坏这项运动。
At the turn of the century, the first football players to introduce data analysis began to emerge. Prozone, the most famous sports data analysis company in the UK, was established. The then Derbyshire assistant coach Steve McLaren was the first football coach to develop and use player tracking software. Prozone installed eight cameras in every corner of the Derbyshire Stadium to collect data in all directions.
在世纪之交，引入数据分析的第一批足球运动员开始出现。成立了英国最著名的体育数据分析公司Prozone。当时的德比郡助理教练史蒂夫·迈凯轮（Steve McLaren）是第一位开发和使用球员追踪软件的足球教练。 Prozone在德比郡体育场的每个角落安装了八台摄像机，以收集各个方向的数据。
When McLaren joined Manchester United as Ferguson's assistant coach, Manchester United became the first team to pay a fee to use this system. The contract stipulates that if Manchester United can harvest a championship trophy in the 1998-99 season, they will pay Prozone £50,000 (Manchester United won the triple crown this season). By the end of 2000, six other Premier League teams had become Prozone customers. Almost at the same time, another form of data development gradually emerged, and the data analysis company Opta appeared.
The founder of Opta, Aidan Cooney, recently said when he talked about the situation in the early days of the company: "It was really difficult at the beginning. Most media are not ready to accept the concept of "efficiency data." I think If you can make people realize what is really happening on the court, and then pass on the concept of digital analysis to them, you will successfully close the distance between them and the game, and you will help them grow."
When Cooney showed his ideas to the Daily Mirror, people angrily condemned him for trying to "Americanize" sports. Cooney said: "The so-called'Americanization' refers to people like us brazenly presenting such a passionate sport as football in such a boring way as data, like making a bus timetable. In the eyes of many people, American sports is like this. We think twice, and then tell everyone that we are not simply providing data, we started to put some gimmicks, through storytelling to make the data as concrete as possible. After the screening, I bought 20 DVDs and mailed a copy to every head coach of the Premier League, and said that if I wanted to talk, we would be waiting anytime, but the result was all in the sea. We survived this situation in the early days. I think Video analysis is suspected of exaggeration, and the correct use of data analysis is the correct answer."
The company's business has not improved much for a long time. Cooney said: "Football is not a big-scoring sport. The element of luck takes up a considerable proportion. Anything can happen on the court. In other sports, things are more interconnected, such as baseball. And cricket. In the early stages of football development, there are many talented players who always play a high outlier (outlier, outlier, statistical terminology, refers to one or several values in the data Compared with other values, there is a big difference. From the perspective of football, the higher the contribution value to the team's victory, the greater the outlier of this player.) The Times editor Daniel Finkelstein has a column "Finkelstein" "Fink Tank" (Fink Tank), he has discovered this. Other columnists have also discovered that it contains a lot of excavable content, but it has not attracted sufficient attention."
长期以来，该公司的业务并没有太大改善。库尼说：“足球不是一项得分很高的运动。运气要素占相当大的比例。任何事情都可以在球场上发生。在其他运动中，诸如棒球，板球之类的事物之间的联系更加紧密。在足球发展中，有很多才华横溢的球员总是表现出较高的离群值（离群值，离群值，统计术语，指的是数据中的一个或多个值）与其他值相比，有很大的不同。 ，《纽约时报》编辑丹尼尔·芬克尔斯坦（Daniel Finkelstein）有一栏“芬克尔斯坦”（Finkelstein）“芬克坦克”（Fink Tank），他发现了这一点，其他专栏作家也发现了这一点。它包含很多可挖掘的内容，但是没有引起足够的重视。”
On the eve of the 2002 World Cup, Finkelstein mainly commented on current affairs. He then moved to the radio station and heard that Dr. Henry Scott had developed a calculation model for predicting football scores.
Finkelstein told The Athletic reporter: "I thought and thought at the time, and suddenly I understood,'This way, the score can be predicted, the data can be collected, and the model can be generated.' The next day I wrote this idea in The Times I went to the newspaper, and I also told my colleagues that we can borrow some of Dr. Scott’s data to improve our World Cup column. Although everyone is not convinced that this can really predict the score, we use the data to calculate, Senegal has a 25% chance of defeating the defending champion France. Senegal really defeated France 1-0. If Senegal is not upset, it is estimated that no one will be interested in our data research in the future. After that, I will be in " A column was opened in The Times.
In the beginning, many broadcasters, reporters and clubs were not too interested in data analysis, so the weekly data analysis of the "Fink Think Tank" became the only hall for many fans to conduct data brainstorming. Finkelstein said: "This may be a bit exaggerated, but we do feel that we have become a wave of sports journalism. The first football player we met who understood the concept of the average index was Wenger. He once said:'I No interest in winning the next game.' He meant to win a series of games in a row. Combining our predictions, I wrote a column about some weird things and mysteries on the football field. I One of my favorites is, “Is the worst time to concede goals near the end of the first half?” According to the data, the answer is no. Ian Wright’s answer is very interesting. He said: “I think it’s going Near the end of halftime, because if that were the case, George Graham would turn on the hair dryer at the intermission. "Allardys is also very interested in our content, and some people patronize and talk and say nothing. Mention our column, then Allardys will say: "Oh, this is the content of the "Fink Think Tank" column!"
最初，许多广播公司，记者和俱乐部对数据分析不太感兴趣，因此“ Fink智囊团”的每周数据分析成为许多粉丝进行数据头脑风暴的唯一场所。芬克尔斯坦说：“这可能有点夸张，但我们确实感到我们已经成为体育新闻的热潮。我们遇到的第一个了解平均指数概念的足球运动员是温格。他曾经说过：'我不感兴趣在赢得下一场比赛中。”他打算连续赢得一系列比赛。结合我们的预测，我写了一篇专栏文章，介绍了足球场上的一些怪异事物和奥秘。我最喜欢的一个是：“这是在接近快要结束时丢球的最糟糕时间。上半年？”根据数据，答案是否定的。伊恩·赖特（Ian Wright）的回答非常有趣。他说：“我认为这将接近中场休息时间，因为如果是这样的话，乔治·格雷厄姆（George Graham）会在中场休息时打开吹风机。 “阿拉迪对我们的内容也非常感兴趣，有些人光顾，交谈，不说话。提及我们的专栏，然后Allardys会说：“哦，这是“ Fink智囊团”专栏的内容！”
"A lot of people treat data analysis as entertainment. But bookmakers will include data analysis as one of the elements of calculating odds. Someone even wrote a paper for the Lancaster University Department of Economics. The content is that we are How to beat a betting company in a period of time. This paper uses our calculation model to calculate the results of each Premier League, Champions League game and major national team competitions over a period of time. In fact, our model is better than described in the paper. Even more powerful, we can even simulate the results of all competitions in Europe. As a data enthusiast, I fully believe in the power of data. I am a Chelsea fan, and I still remember that we went to Bolton in 2005 to witness the Blues win. At that time I told my friend that Chelsea have a 63% chance of winning the game and we should go to Bolton. Since then, I have more confidence in the data. Analysis of anything requires data support, and football is definitely not an exception. ."
Finkelstein also put forward many hypotheses and provided many research topics for mathematicians. Scott was once the director of Oliver Wyman Consulting. He hired Dr. Ian Graham to join the company he founded, Decision Technology, which was mainly responsible for researching these topics. Ian Graham is currently head of Liverpool's research and analysis department. According to the New York Times, Graham completely conquered Red Army coach Klopp in just three weeks.
Finkelstein还提出了许多假设，并为数学家提供了许多研究主题。斯科特曾经是奥纬咨询公司的董事。他聘请了Ian Graham博士加入他创立的公司Decision Technology，该公司主要负责研究这些主题。伊恩·格雷厄姆（Ian Graham）目前是利物浦研究与分析部门的负责人。据《纽约时报》报道，格雷厄姆在短短三周内就完全征服了红军教练克洛普。
Graham used Dortmund's 0-2 loss to Mainz as an example to explain in the office, when Klopp was the Dortmund coach. Graham had never watched that game, but his mathematical model showed that Dortmund should be the winner in terms of the number of times the opponent's penalty area was scored and the chances created. At first, Liverpool executives asked Graham to use mathematical models to recommend a head coach. Graham analyzed Dortmund's data that year and concluded that Klopp's team should rank second in the standings after the end of the season, not seventh, which strengthened the Red Army's determination to hire Klopp.
Graham once said: "I have analyzed the Bundesliga for ten seasons. That Dortmund was one of the most unlucky teams in ten years. Klopp's luck that year was really bad."
It seems unreliable to pin the hope of winning on someone who has never watched the game. The teams have always believed in this, but now this situation has become the norm. A Liverpool insider explained how Graham works: "He and his team use mathematical algorithms to predict the evolution of tactics and search for players suitable for the team's tactics. The calculated results will be presented to the chief scout. In the end, Klopp made the decision. These guys are so good, if I play chess with them I can't win a game.
Finkelstein recalled the time he worked with Dr. Graham: "Ian became the driving force of the "Fink Think Tank." Ian, Henry and I, the three of us, put a lot of effort into this column. We use A language that is particularly important for football has reinterpreted the sport and unearthed a lot of hidden content from the game itself. We discovered a long time ago that the value of goalkeepers is seriously underestimated, so now it appears that the value of the goalkeeper has reached 60 million pounds of goalkeeper is not surprising. For another example, the role of corner kicks has also been greatly exaggerated. In fact, corner kicks have a very low scoring rate. At the same time, if you want to win, it is important to pass the ball well. The most important thing, but passing still has not received enough attention.
"After realizing these problems, the teams have armed themselves with data analysis. Ian and Henry signed a contract with Tottenham, and they provided assistance for the team's signing work. Tottenham later signed Van der Vaart, Among them are the two of them. Ian later joined Liverpool, which is remarkable, because he himself is a Red Army fan. When Fenway Group's John Henry acquired Liverpool, Ian also happened to enter the decision-making technology work. The "Fink Think Tank" came from this studio. John Henry wanted to hire decision-making technology for his own use, partly because he had read an article from the "Fink Think Tank" published in The Times. The collaboration could not be reached at that time. Because they are working with Tottenham.
As a hardcore fan of the Red Army, Ian decided to leave the decision-making technology and join Liverpool alone. His decision was understood and supported by his studio colleagues. Before joining the Liverpool family, Ian had more than 10 years of experience in mathematical model modeling, and the Red Army was a treasure. "
Ben Stevens is the director of performance and signing analysis for Crystal Palace, and he admires Liverpool's achievements in this regard. Stevens said: "When the news that Liverpool had hired a data scientist spread, many teams expressed disdain and resistance. But some teams thought it could be done by ourselves behind closed doors. We had ourselves at the time. His data researcher, Bobby Shekayi, is a top student at the London School of Economics. Shekayi is brilliant. He never watches games or studies football tactics. He spends all his energy on data research, Bobby Before, I studied finance and had nothing to do with football, but he refreshed my understanding of him every day."
本·史蒂文斯（Ben Stevens）是水晶宫（Crystal Palace）表演和签名分析的主管，他钦佩利物浦在这方面的成就。史蒂文斯说：“当利物浦雇用数据科学家的消息传开后，许多团队表示不屑和抵制。但是一些团队认为这可以由我们自己秘密完成。当时我们拥有自己。他的数据研究员鲍比·谢卡伊，是伦敦政治经济学院的一名顶级学生。谢卡伊很聪明，他从不看比赛或研究足球战术，他全力以赴地进行数据研究，鲍比以前，我学习金融与足球无关，但他每天刷新我对他的了解。”
One thing we must clarify is that there is a clear difference between data science and data analysis. Data science combines artificial intelligence, computer science, and model prediction results to extract a series of conclusions, and then data analysts and video analysts will work together to study and interpret the conclusions of data scientists.
Stevens of Crystal Palace explained: “Michael Edwards is a veteran data analysis expert who worked for Portsmouth 10 years ago. He did a great job and is now Liverpool’s sports director. Former rich Rum data analyst Andy Scolding is currently the signings supervisor of the Glasgow Rangers. Lawrence Stewart has studied effectiveness analysis and has now been promoted to the signings supervisor of RB Leipzig. Rogers was coaching in Leicester City There is an assistant named Chris Davis. When I first met him, he was a data analyst in Swansea. Finally, there was me, currently in charge of signings at Crystal Palace."
水晶宫的史蒂文斯（Stevens）解释说：“迈克尔·爱德华兹（Michael Edwards）是一位资深的数据分析专家，十年前曾在朴次茅斯工作过。他做得很好，现在是利物浦的体育总监。前富朗姆酒数据分析师Andy Scolding目前是格拉斯哥流浪者队的签约主管。劳伦斯·斯图尔特（Lawrence Stewart）研究了有效性分析，现已晋升为莱比锡RB的签约主管。罗杰斯在莱切斯特城执教。有个叫克里斯·戴维斯的助手。当我第一次遇到他时，他是斯旺西的数据分析师。最后是我，目前在水晶宫负责签字。”
What happened to data analysts in the early years? Stevens smiled and said: "The older generation of data analysts have had a difficult time. Now in retrospect, I really said that I don't want to suffer the second crime again, but I have to say that it was indeed a trial. We are often asked:'Why are you telling me this? Do you know football?' This is indeed a good learning experience for analysts who have just graduated from college and think that they know some football. The steadfast data analysts have all retreated. Now the data analysts are in the middle of the team, relaxed and comfortable. When some people complain about a little difficulty, I always think of the unbearable time in the past. .
"For me, this is a particularly difficult task. I used to work for the Southampton youth team as an intern, and was transferred to the first team in the 2008-09 season. The gap between this is too big. At the beginning At work, the only tools we have on hand are the home VHS tapes. Whenever I play away games, I will go with the team, and then they will give me a video of the game. Then I have to copy the video to a DVD, and we also Use SCSI hard drives. After the game, you need to copy these materials to the hard drive, and then give them to the courier riding the electric bike, let them send to the Prozone headquarters in Leeds, and then they will process the data within 24 hours. Everything at that time was far less convenient than it is now. Sometimes after the away game, you wait for the courier to be unavailable, and everyone needs to wait for you on the bus.
"In Southampton, we have two people. Everything is done by both of us. It’s good now, and suddenly we are also a team member. There is nothing we can’t handle. We can even get information in the game. Send it to the coaching bench.” Now we can often see data analysts wearing headphones communicating with the coaching staff on the sidelines. "
Nowadays, it is very common for data analysts to wear headphones to communicate with coaches on the sidelines in real time. Stevens recalled: "I used to talk to Allardys directly through headphones. Now it's funny to think of it. I wore headphones and watched the game leisurely. Suddenly he got angry and gave me a meal. Hair. I was dumbfounded at the time, "He seemed to be saying something to me, but I didn't even listen to a word. Then I pretended to be calm and asked politely: "Boss, what did you just say?" Then he snarled his instructions at me again, this time I understood, I quickly wrote them down. He must have been offended by something just now. "
如今，数据分析师经常戴着耳机在场外与教练实时沟通。史蒂文斯回忆说：“我以前常常直接通过耳机与阿拉迪斯交谈。现在想起来很有趣。我戴着耳机，悠闲地看比赛。他突然生气了，给我吃饭了。头发。当时我傻眼了， “他似乎在对我说些什么，但我什至没有听一句话。然后我假装保持镇定，礼貌地问：“老板，你刚才怎么说？”然后他再次向我咆哮着，这一次我明白了，我很快就写下来了。刚才他一定得罪了他。 ”
Data and intuition, the conflict between the two seems to be natural, but many interviewees believe that the two are not incompatible. For example, although Liverpool has a PhD in applied physics presiding over the work, the team also has many old-school scouts who have footprints in every corner of the world. However, although they are called scouts, the scope of these people's work is much more than just investigating players. They also need to be rooted locally and maintain good relationships with local brokerage companies to ensure that they are always one step ahead of their competitors.
Although Liverpool has a group of data scientists and analysts playing for the team, traditional scouting methods are still the mainstream. A scout from Liverpool who was investigating opponents, after 23 consecutive visits, issued a sufficiently detailed report, and then his report was sent to the data analysis department. These data come from the naked eye, not mathematical calculation models. In this way, Liverpool found that Brighton always jumped high when facing a direct free kick. The news was quickly communicated to Coutinho, who scored a free kick in Liverpool's game against Brighton in December 2017 and helped the team win the game. For now, the best teams are often those with the most understanding of the various departments. All the people interviewed by The Athletic think that to do a good job of signings, relying on data science is not enough.
尽管利物浦有一组数据科学家和分析师在为该团队效力，但传统的侦查方法仍然是主流。利物浦的一名侦察员在连续23次访问之后正在调查对手，他发布了足够详细的报告，然后将其报告发送给数据分析部门。这些数据来自肉眼而非数学计算模型。这样，利物浦发现布莱顿在面对直接任意球时总是跳高。该消息迅速传达给库蒂尼奥，库蒂尼奥在2017年12月对阵布莱顿的利物浦比赛中获得任意球，并帮助球队赢得了比赛。目前，最好的团队通常是对各个部门最了解的团队。 The Athletic采访的所有人们都认为，仅仅依靠数据科学来做好引签工作是不够的。
Simon Barno, who was once Opta’s marketing director, said: “Now it’s different from the past. There is no longer a wall between the nerd in front of the computer and the ‘real football guy’.”
He joked: “Everything we do is to make customers no longer be wary of data science. The previous confrontation between data practitioners and traditional scouts was done deliberately. In fact, the top data analysts are very A great translator. When communicating with coaches, they will not be full of formula models. Their suggestions on tactics or signings are all authentic football language. The cultural difference between data and football has disappeared. Sometimes for one For a signing target worth several million pounds, the agent does not cooperate and the scouts are not optimistic, but a highly credible due diligence report by the data worker can bring both parties back to the negotiating table. Analysis and traditional scouting work have formed a complementary relationship."
Manchester United used to be an extreme example. The Red Devils scouts are located in 30 countries. By the time Ferguson retired, Manchester United had 45 scouts. The salary and business expenses paid to the scouts each year were a lot of money. Few teams can have such strong financial resources as Manchester United.
Analytics FC mainly provides services for some Champions League teams, in addition to Liz United, West Ham United and West Brom. Before the winter window opened in January 2019, Steele, the founder of Analytics FC, called Leeds United Sports Director Victor Horta. Steele told Victor who is the star player of the British crown.
除了利兹联，西汉姆联和西布朗之外，Analytics FC还主要为某些冠军联赛球队提供服务。在2019年1月冬季窗户打开之前，Analytics FC的创始人斯蒂尔（Steele）称为利兹联体育总监Victor Horta。斯蒂尔告诉维克多谁是英国王冠的明星球员。
Steele said: "We were talking about Daniel James at the time. It's a shame that Leeds United's deal with Daniel James was aborted at the last minute, but his performance at Manchester United proved our vision. Watching Daniel James played eight games. After nine championships, we told Victor that they must sign the Welsh guy right away. Victor's reaction was,'Please, are you kidding me?' We said:'Absolutely not.' Analysis is full of trust."
What did our data analysis foresee? We just suggested that Leeds United sign Daniel James, who immediately disrupted Blue Moon's defense in the FA Cup against Manchester City. Steele said: "Our platform is actually predictive analysis. The CEOs of each team and I say this: Statistics is, in one aspect, the study of history. Data tells you what happened in the past. It is possible to predict which players will play better. Our calculation program will show that if a player continues to do X, then the possible consequence is Y. Our calculation program is very similar to Liverpool’s. Our calculation process Every action of the player will be taken into consideration. For example, if a player takes the ball in the center line, the probability of scoring at this time is 0.0001%. This player makes a long pass and his forward comfortably holds the ball in the penalty area. At this time, the team’s scoring probability has risen from 0.0001% to 2%. Every player action will have a positive or negative impact on the team’s score."
Steele's personal background is also extraordinary. Steele started as a Chelsea coach and coached Mount and Abraham in their teenage years. He later became a scout for Brentford and established his own data analysis company. Under the recommendation of Leeds United Director Horta, Steele also served as the sports director of three clubs under the same consortium last summer. The three clubs are Paphos, Cyprus, Riga, Latvia and Rodina Moscow. Because of previous coaching and scouting experience, Steele has completely unified statistics and intuition.
Steele said: "Big data is not nuclear weapons. It does not mean that once you have the support of data, you can immediately sign top stars one by one, but data can reduce risks and gain a competitive advantage. Most of the time. The team treats data analysis as the first filter. In Analytics In the TransferLab function on FC, you can filter the key data to filter the players you need in 90 leagues around the world.