"I'm curious, Dr.
Sartoy, and have a question."
While strolling back to the training building with Marcus Dusatoi, Yang Huan asked the doubts in his heart.
“Why is football so uninterested in data?”
I believe this is also everyone’s doubts.
Since big data can solve so many problems, why doesn’t anyone do it?
Marcus Dusatoy shook his head and smiled, "You are wrong, Master Huan.
It's not that no one is doing it, but there are many, many people who have been doing it for a long time.
It's just that the level of data analysis is still too lagging behind compared to other industries."
"Tell me about it."
Yang Huan was very interested.
He knows his faults and shortcomings, and he has always been self-aware.
Since it’s something you don’t understand, then leave it to someone who knows and understands it.
Or, simply work hard to figure out what it is all about.
Marcus Dusatoy organized the answer to this question in his mind, because he found it very troublesome to answer.
"The introduction of data analysis and high-tech gadgets in football circles has actually been done for a long time.
After Wenger took over Arsenal, he attached great importance to data.
Let me give you an example that I know."
"Flamini, you should know this player, Master Huan" Yang Huan nodded.
The French midfielder had just played well at Arsenal and left for AC Milan in Italy.
“When Wenger decided to introduce this player, it was because he heard that Flamini could run 14,000 meters in a game.
This number was too amazing, so he went to investigate and confirmed that Flamini could run 14,000 meters in a game.
Arsenal brought in this player after Ni's wide-ranging movement."
Yang Huan had never heard of this matter and found it quite interesting.
"As we all know, AC Milan has a world-famous Milan laboratory.
They were able to win the Champions League.
This laboratory played a major role.
Even earlier, the Brazilian national team and the American Nike had a cooperative research institution in this area. ” At this point, Marcus Dusatoy's conclusion is already clear.
The introduction of data into football has actually been done a long time ago, and has even developed to a certain extent.
"Master Huan, do you know how many relevant data OTA collects in a game?"
Yang Huan shook his head this time because he had never had any contact with Ota.
"There are more than 1,500 items, and they are becoming more and more detailed.
In the past, everyone only cared about some relatively superficial things, such as ball possession rate, number of shots, running distance, number of passes, etc."
Speaking of this, Marcus Dusatoy couldn't help laughing.
"I still remember that in the earliest days, OTA data was calculated by observers sitting in the stands or sitting in front of the live TV broadcast.
It was calculated using the most primitive and least efficient manual means, and there were many errors. ” Yang Huan couldn't help but smile.
It turns out that the ota data company that sounds very high-end still has such a history.
"Later, after they were acquired by Sky TV, they received sufficient funds to develop, and then continued to improve their software and hardware, and developed specialized analysis software, which allowed them to obtain more and more detailed data."
“So, there are things like movement heat maps and passing route maps.”
Separate lines are like mountains, and Yang Huan doesn't understand everything.
He really doesn't have much experience in the field of data in the football industry, and it can even be said that he knows nothing about it.
In the past, the data that ordinary fans could see was only a few pieces at best, but ota collects more than 1,500 data in a game, which shows how deep the water is.
As long as you pay, you can get the advanced data of ota.
"Dr.
Sartoy, according to what you said, data has taken root in the field of professional football for so many years, and several data service companies like ota have been developed, but why do you still feel so backward?"
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Marcus Dusatoy nodded and said with a smile: "Because these are just data."
Now, Yang Huan began to understand a little bit.
"The data provided by companies like OTA is indeed very detailed.
It gives us a lot of data, but what problems these data can explain requires us to analyze."
“Data is dead, but analysis is alive.”
"To give the simplest example, there is a forward who is very good at scoring goals.
He is far ahead of the league's top scorers, but his team's results are very poor."
"If you just look at the data of this player, you will find that he is a top scorer, because he can get a lot of shooting opportunities in every game, and then how many shots can be converted into a goal etc."
"But if you analyze the entire team more deeply, you will find that this player shoots crazy shots in pursuit of his own goals, which leads to the team's overall offense lacking threat and unable to operate smoothly."
"Also, there is a defensive midfielder whose interception and steal statistics are very eye-catching, and his running distance in every game is also very large.
However, his team did very poorly defensively.
The media and fans have criticized the defense.
But in fact” "If you analyze it in depth, will there be another one?
This player's personal ability is indeed very strong, but his team and tactical awareness are very weak.
He flies all over the field, has no sense of position, and is unable to play when the team needs it.
Appearing in front of the defense line provides a strong protective barrier, exposing the back line to the opponent's artillery fire at will."
Yang Huan really understood it now.
Marcus Dusatoy's point is clear, data is not important because these things can be bought.
What is really important, or in other words, the key link in determining whether the data is useful is analysis.
"According to the two examples I just gave, if you only go to the first step, that is, only analyze the superficial data, you will definitely find that the players are too good and the team is too bad, so many teams spend a lot of money to After introducing this player, it turned out that something was wrong and the player didn't use it well, and it became a so-called parallel import. " "If you analyze it more deeply, you will find that the problem is not that simple, and you will get closer to the reality."
"So in my opinion, the reason why many people say that data lies is because the data they obtain is too one-sided."
"This is a sign of a lack of data" Yang Huan couldn't help but nod after hearing this.
This statement was indeed very convincing.
Especially in the United States, a large number of professional competitive sports such as NBA, football, golf, baseball, tennis, etc. are increasing their investment in data analysis, which is enough to illustrate the prospects of data application.
Professional competitive sports all have one common pursuit, which is results.
All aspects of football always revolve around scoring goals.
Goal oriented, everything is quantifiable.
And as long as it is quantifiable, there is room for big data to play.
"So why do so many football clubs ignore data?"
It was only at this time that Marcus Dusatoy had to answer the question Yang Huan had just raised.
"There are two situations.
One is that they think the data is not credible.
The other is that they lack the courage to invest and think that investing so much is not as cost-effective as bringing in stars.
So we see, almost every team in the Premier League Teams are buying data from OTA, but it’s just buying.”
"AC Milan tasted the sweetness and won the Champions League, but the next year they immediately took action on the Milan laboratory and suspended all scientific research projects.
The reason is very simple.
Their management believed that the current level was enough and continued to invest in scientific research.
It’s a waste.”
"They just want to have a rough understanding of the data on the aspects they are interested in, but they have never thought about establishing a systematic project to scientifically analyze the entire team and the entire football field, because the latter has too much investment. " "Football rejects data and high technology, not because of closedness and conservatism, but because of money."
"In the United States, the NBA, Major League Rugby and baseball clubs all have higher incomes than football, so they have enough financial resources to invest in research and development in this area."
At this moment, Yang Huan completely understood.
Again, no one in this world is stupider than anyone else.
It's like when the founders of OTA saw Americans starting to introduce data to the NBA and NF, they immediately started doing it in the Premier League, and it didn't take long in between.
But now, the gap between the data analysis capabilities of European football and the data analysis capabilities of several major professional sports leagues in the United States is really huge.
Ultimately, it's still a question of money.
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The two of them were chatting and walking all the way, and before they knew it, they came to the downstairs of the training building.
Because the new training building is still being renovated, the office of the data analysis center is currently on the first floor of the old training building.
Yang Huan plans to build an independent building for their offices.
From there it will be the data heart of Southampton.
"Master Huan."
Marcus Dusatoy stopped, "When Charlene told me that you were very interested in data, I didn't believe it at first because Southampton was only a League One team.
But knowing you, I believe it.”
"I believe that no one in the entire football circle can understand the future of data better than you."
Yang Huan couldn't help but nod.
Both WeChat and game companies attach great importance to data collection and analysis.
He knows the wonderful uses of big data better than anyone else.
Before, he had neglected football, but now he was determined to catch up.
"But I still want to remind you, Master Huan, the data of football is different from that of Internet companies, because it involves people, and people are the most complex, so we need human body science, physiology, nutrition, etc., very Experts in multiple fields collaborate and analyze.”
This means that the more manpower invested, the more R&D funds required.
"Okay, I understand."
Yang Huan clapped his hands vigorously.
"Don't worry, Dr.
Satoy, I've told you that in the future, your data center will have as much funding as you need.
As long as you think it's necessary, you can apply for funding to conduct research, and I will support you."
"Thank you, Master Huan."
Marcus Dusatoy immediately smiled and thanked him.
But Yang Huan waved his hand and shook his head, "Don't say thank you yet, I haven't finished saying it yet."
Marcus Dusatoy immediately listened attentively.
"Although I will give strong support in finance and all aspects, I want to see results.
We Southampton will not be like AC Milan, which got off to a good start and then stagnated.
As long as I am here, I will We will do our best to support your research and development.”
"But I have to see results."
"I understand, Master Huan" Marcus Dusatoy immediately nodded in agreement.
"Don't worry, we won't let you down."
All scientific research projects around the world are like this.
There is no hope, or those scientific research projects that will never produce results have no one interested.
Or to put it simply, scientific research is also an investment.
Marcus Dusatoi seemed to be afraid that Yang Huan would not believe it, so he immediately pointed to the office of the data center with a smile.
"I think, Master Huan, you should come in and take a look.
Dr.
Howard Hamilton has some good stuff."
He looked like a naughty kid offering treasure.
Yang Huan couldn't help but smile, "What's a good thing?"
“A wonderful product and very helpful to us” After saying this, Yang Huan was really interested
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