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From Juve’s abandonment to Milan’s darling, relying on Ibrahimovic’s Italian expert to explain what a system player is.

# 100 Watching Teams # As long as the system players in the green world are mentioned, it is difficult to avoid the name of Italian expert nocerino. It is no exaggeration to say that the days when he fought side by side with Ibrahimovic were so beautiful that the situation after he left Ibrahimovic was so embarrassing, as if he were a different person, which fully explained what a system player is:

Antonio nocerino was born in Naples on April 9, 1985. When he was a toddler, it happened to be the peak of Diego Maradona, the legendary Argentine superstar, who led the local Naples team to break the strong enemy repeatedly and even won the Serie A championship, which made the football atmosphere in Naples, which was already very fanatical, more and more fanatical. I don’t know how many children in Naples dreamed of becoming professional players.

It stands to reason that nocerino, who lived in such an environment as a child, should fall in love with football. But the reality is that nocerino was not interested in football as a child. However, nocerino’s father, who is a fanatical die-hard fan, not only asked his son to play football, but also became the coach of a youth football team. Nocerino entered the team coached by his father when he was about 5 years old. When nocerino was 13 years old, he left his hometown of Naples and went to Turin to join Youwen Youth Training Camp.

Under the training of Youwen Youth Training Camp, nocerino became a qualified professional player. He has an excellent professional attitude and will do his best as long as he sets foot on the court. Many players don’t want to do the dirty work. nocerino always tries to do it, and his attitude is positive. At the same time, as a midfielder, he still has a sense of goal as a striker, and he can always appear in the weak position of his opponent’s defense and send the ball to the door.

However, nocerino’s shortcomings are equally obvious. As a midfielder, although he is extremely active on the defensive end, his defensive ability has never reached the top level. Compared with Davies, Vieira and Lei Dongduo, which are recognized as top midfielders, there is a gap visible to the naked eye.

After defense, talk about attack. Although nocerino has an excellent sense of smell in front of the door, it can even make many forwards feel ashamed. However, his footwork skills are far from delicate. No matter passing or passing, it is not top-notch. It is difficult for the team to expect him to organize the attack, let alone expect him to send exquisite assists.

On the whole, nocerino is certainly good among young players of the same age. However, it is just good, far from the level of the other mountains all appear dwarfs under the sky.. It is almost impossible for a fledgling nocerino to get a foothold in the star-studded Juventus first team. Therefore, nocerino was loaned out early, and successively trained in small and medium-sized clubs such as Avilino, Genoa, Catanzaro, Crotone, Messina and Piacenza, and did not return to Juve until the summer of 2007.

As we all know, at that time, Juventus had not completely got rid of the negative impact caused by the Calciopoli incident, and it could not be compared with the Bianconeri before the Calciopoli incident, regardless of the lineup configuration or team strength. This is definitely not a good thing for Juventus. But for nocerino, who returned to Juventus, the advantages definitely outweigh the disadvantages. Because this means that the competition he faces in Juventus is far less intense than when he was a rookie.

In the following 2007-08 season, nocerino got a lot of playing time and once became the main player of Juventus. However, his performance is hard to satisfy Juve. As a midfielder, he lacked creative passing, which made Juve’s midfield, which lacked creativity at that time, worse. It’s no exaggeration to say that nocerino’s performance on the offensive end is not as good as that of teammate Zaneti, who plays in the back. And his performance on the defensive end, it is also difficult to compare with Zaneti who was born in the lower back.

Nocerino’s performance not only disappointed Juve fans, but even the famous Moggi couldn’t stand it. The controversial Juventus exploits made it clear in an interview that nocerino’s performance on the pitch was unconvincing and Juventus should give Tiago some chances. Think about it, nocerino took out what kind of performance, will let Moggi make this statement?

In the summer of 2008, one year after nocerino returned to Juve, the Bianconeri made a decision to give him up and used him as a bargaining chip. Together with a large sum of cash, Amauri was traded from Palermo.

Although nocerino has been abandoned by Juventus so quickly, the competition in the team is far less intense than Palermo of the Bianconeri, and nocerino can still guarantee the main seat. As for his performance on the court, it can only be regarded as quite satisfactory, and it is definitely not outstanding. Otherwise, Milan wouldn’t have let Palermo agree to let people go with a transfer fee of 1 million euros and half of Ricardo Ferreira’s ownership.

I’m afraid even Milan didn’t expect that the performance of new signing nocerino on the court would be so fierce. When he first arrived here, he scored an endless stream of wonderful goals, dazzling people, and soon became the darling of Milan, as can be seen from his great title of "King of Promise".

However, when nocerino was imposing, few people realized that nocerino’s good performance during his time in Milan was actually closely related to the existence of Ibrahimovic. Ibrahimovic, who was at the peak at that time, had a strong personal ability. Even under the heavy defense of his opponent, he could still create a lot of scoring opportunities for nocerino. The existence of Ibrahimovic also covers up nocerino’s lack of creativity to some extent.

In the summer of 2012, Ibrahimovic bid farewell to Milan and moved to Paris Saint-Germain. However, the Rossoneri didn’t sell nocerino, who was extremely dependent on Ibrahimovic, the first time he lost Ibrahimovic. On the contrary, they had high hopes for him, and the result can be imagined. The performance of this Italian expert is extremely disappointing and he has become a systematic player in the mouth of the media and fans.

In the days that followed, although nocerino worked so hard, he could never find the feeling of playing beside Ibrahimovic, let alone becoming the main force of Milan. Even playing for Turin could not guarantee his main seat, which was an embarrassment. This situation continued until 2020, when nocerino announced his retirement.

The upsurge of artificial intelligence trainer talent incubation project has arrived. Have you come to inspect the project?

"Mass entrepreneurship and innovation" is the strongest voice in the 21st century. Entrepreneurship is the eternal driving force for national development and social progress, while artificial intelligence is an important development strategy in China. As a basic key link in the development of artificial intelligence, data labeling industry is a new opportunity for entrepreneurs/teams to transform and expand their projects.

With the inexorable warming of the weather, the talent training program of artificial intelligence trainer is also in full swing. Every day, bosses from all over the world come to see the project and understand the actual operational situation.

During the project inspection, our project manager also listed the innovative mode of data labeling talent incubation project and the possible problems in the field landing process, and gave relevant suggestions and opinions.

It is worth mentioning that during the conversation, some partners shared their merits, and our project leaders also shared them, so as to make every customer who came to see the project and understand it gain a lot.

I’d like to take this opportunity to give you a service news after the cooperation, that is our partner, Mr. Huang. After studying in the operation department, the project department and the system as a whole, his team has already taken the initiative to register students and the data marking project is too busy. It can be said that it is as busy as a bee.

Win-win cooperation has achieved remarkable results, and quality service promotes value-added. Mr. Huang’s success is inseparable from his own efforts, and also from the efforts of our service partners. Here, I would also like to give a big compliment to our friends in the operation department.

If you also want to have endless data annotation resources.

If you are also in the data labeling industry,

If you are still worried about unprofitable projects, broken files and other issues.

Then, consider joining forces.

Come and visit us.

How can Messi stay in Greater Paris?

In 2023, the Greater Paris Champions League once again became 16 Lang, which is quite sad!

Special size World Cup golden balls and golden boots, is that the level?

No!

Messi’s vision, passing and dribbling are still the top in the world!

Mbappé’s shot, in that year, was still heavy, and he also improved his dribbling skills …

Neymar was in its prime, and Ramos was still domineering. Such a powerful Paris has repeatedly suffered setbacks, which puzzled many readers!

In fact, although Greater Paris is rich, its layman leads the expert, which is the root of the team’s failure!

If they don’t change, Messi and Mbappé will leave!

The registration of the Society Competition 2008 2023 Global Artificial Intelligence Technology Innovation Competition was officially launched.

The registration channel for the 2023 Global Artificial Intelligence Technology Innovation Competition was officially opened! The contest was co-sponsored by China Artificial Intelligence Society and Yuhang District People’s Government of Hangzhou, undertaken by Zhejiang Hangzhou Future Science and Technology City (Haichuang Park) Management Committee, and co-organized by Beijing Iron Man Technology Co., Ltd. Based on an international perspective, the competition will focus on cutting-edge technology and application innovation, promote academic exchanges, personnel training, technological development and cross-border application and integration in the field of artificial intelligence, and build a talent exchange platform and industrial ecosystem for artificial intelligence.

Algorithm challenge

Track 1: imaging NLP-medical imaging diagnosis report generation

Track 2: Giga Rendering-A New Perspective Rendering Based on a Billion Pixel Sparse Image

Hardware challenge

Track 1: Service Robot Competition for the Elderly

Track 2: Deep Learning Smart Car Competition

Track 3: unmanned competition

Algorithm challenge

Track 1: It is divided into four stages: registration-team formation, preliminary, semi-final and final.

Sign up & Team up (March 10th–April 20th)

The opening time of the registration system is 10:00 Beijing time on March 10th, 2023, and the deadline is 12:00 noon on April 20th, 2023.

Preliminaries (March 21st–April 21st)

Rematch (April 28th–May 19th)

Final (June 9)

Track 2: It is divided into three stages: registration-team formation, online competition and final competition.

Sign up & Team up (March 10th–May 4th)

The opening time of the registration system is 10:00 Beijing time on March 10th, 2023, and the deadline is 17:00 Beijing time on May 4th, 2023.

Online Competition (March 10th–May 10th)

Final (June 9)

Hardware challenge

Registration & Team Building (March 10th-May 20th, 2023)

Final (June 6-June 9, 2023)

Competition official website: https://gaiic.caai.cn/

Algorithm challenge

Event e-mail:

Track 1 data@tsinghua.edu.cn

Track 2 challenge@gigavision.cn

QQ group for event exchange (choose one):

Track 1 566353409/75834321

Hardware challenge

Event Email: bd@artrobot.com

Event exchange QQ group:

Track 1 558080765

Track 2 558719690

Track 3 480558608

04 tournament award

Algorithm challenge

The total prize money of the competition is 850,000-920,000 RMB, and all prizes are pre-tax.

Hardware challenge

The total prize money of the competition is 400,000 RMB, and all prizes are pre-tax.

Champion: 20,000 yuan/team, and the instructor 10,000 yuan/team.

Runner-up: 15,000 yuan/team and 8,000 yuan/team for the instructor.

Third runner-up: 10,000 yuan/team, and the instructor is 5,000 yuan/team.

First prize: 3,000 yuan for each team and 2,000 yuan for each instructor, a total of 5 teams.

Second prize: 2000 yuan per team, a total of 10 teams.

Third prize: 1000 yuan for each team, a total of 15 teams.

* The above is the award setting of a single event, and there are three events in the hardware event.

Other awards:

Creative Award: 4,000 yuan/team, totally 4 teams.

05 media cooperation

Data-Driven Operation | Future Development Direction of Smart Building System

Smart building refers to upgrading traditional buildings to intelligent buildings through Internet of Things technology, so as to realize more efficient and intelligent management and operation. Through the connection and cooperation of various sensors, equipment and systems, smart buildings can realize real-time monitoring, analysis and control of all aspects of buildings, thus improving energy utilization efficiency, optimizing space utilization and safety management, and bringing people a more comfortable and intelligent living and working environment.

(Firehawk Technology Intelligent Building System Development smart.figo.cn)

First, the characteristics of smart buildings

Smart buildings use the Internet of Things technology to connect all devices with the system to realize intelligent management and control. Through big data analysis and artificial intelligence algorithm, the automatic monitoring and management of facilities and energy in buildings are realized. In addition, the smart building also has a visual monitoring system and intelligent maintenance management, which can know the usage and maintenance status of the building in real time and improve the overall management efficiency and safety of the building.

(Firehawk Technology Intelligent Building System Development smart.figo.cn)

Second, the advantages of smart buildings

Smart buildings can improve the operation efficiency and energy utilization rate of buildings and reduce the operation cost and energy consumption through automatic and intelligent management. At the same time, smart buildings can also improve the comfort and health of living and working environment, and provide better use experience and services for residents and enterprises. In addition, smart buildings can also realize the integration and sharing of building information, which is convenient for different departments and users in the building to work together and communicate.

(Firehawk Technology Intelligent Building System Development smart.figo.cn)

Third, the application scenarios of smart buildings

Smart buildings can be widely used in office buildings, residential buildings, commercial complexes and other buildings. In the office building, the smart building can realize the automatic adjustment and management of the office environment, and improve the work efficiency and comfort of employees. In residential buildings, smart buildings can realize intelligent control and management of family living environment and improve the quality of life and safety of residents. In the commercial complex, smart buildings can realize the intelligent management and operation of commercial facilities and services, and improve the efficiency of commercial operations and user experience.

(Firehawk Technology Intelligent Building System Development smart.figo.cn)

Firehawk Technology Smart Building System takes the life cycle data of buildings as the core, and integrates new ICT technologies such as Internet of Things, artificial intelligence and big data based on the three-dimensional technology of digital twins to build a new generation of smart buildings with high technology, efficiency, safety, green and health, so as to enhance the image of the park’s external services and reduce costs and increase efficiency in its internal operations.

Italian media: Rome has raised the offer of salary reduction and renewal for smolin, and the new annual salary is the same as at present.

Live on March 12, according to the report of Il Tempo, Rome has raised its offer to renew smolin’s contract, and the current annual salary for renewal is the same as that of the existing contract.

Roma don’t want to lose smolin, and his contract will expire at the end of the season. According to "Il Tempo", Rome has sent an important signal that they have raised their previous offer for renewal.

Rome has offered a two-year contract before, but the annual salary is lower than the current 3.5 million euros.

Considering that the player wants to stay, Roma decided to offer a two-year contract at the current annual salary, and the bonus is very easy to get.

(Stewed Sydney with rock sugar)

The core technology of "making the brain" serves the important needs of the country

In today’s world, the level of human science and technology has reached an unprecedented height. With the entry into the intelligent era, a new round of scientific and technological and industrial revolution characterized by the deep integration of information technology and manufacturing industry has flourished, and technical groups in many fields have broken through and merged, which has promoted profound changes in manufacturing production methods. Countries all over the world have taken a series of major measures, hoping to rely on the manufacturing revolution with intelligent manufacturing as the core, consolidate the foundation of innovation and development of manufacturing industry, and build new kinetic energy and new advantages. As a manufacturing power in the world, China has listed intelligent manufacturing as the main direction determined by Made in China 2025, which is not only the key to promote the transformation and upgrading of China’s manufacturing industry, but also an important strategy to become a manufacturing power in the world.

Professor Song Xuan from the Department of Computer Science and Engineering in south university of science and technology of china, whose main research direction is artificial intelligence and its related fields, including big data analysis, data mining and urban computing, has applied the research results to disaster emergency and epidemic prevention of major infectious diseases, and achieved good results. At present, in the series of research in the field of intelligent manufacturing, it contributes scientific research strength to promote the development of intelligent manufacturing in China and accelerate the pace of building a manufacturing power in China.

Intelligent analysis of data model is committed to tackling the key core technology of "intelligent brain"

Since 2013, China’s development strategy has specifically pointed out that "the country’s strength depends on the real economy and cannot be bubbled" and "the innovation-driven development strategy is deeply implemented to enhance the core competitiveness of industry". "Made in China 2025" clearly emphasizes the need to accelerate the integration and development of a new generation of information technology and manufacturing technology, and take intelligent manufacturing as the main direction of deep integration of the two; Efforts will be made to develop intelligent equipment and products, promote the intellectualization of production processes, cultivate new production methods, and comprehensively improve the intelligent level of R&D, production, management and service of enterprises. Intelligent manufacturing can effectively improve the production efficiency of manufacturing industry, shorten the product development cycle and reduce the defective rate of products, which is the key to building a digital China, realizing "Made in China 2025" and breaking the chip blockade.

The national science and technology strategy points out that "it is necessary to cultivate a large-scale team of young scientific and technological talents, focus on the policy of cultivating the strength of national strategic talents, and support young talents to take the lead and play the leading role." As a young scientist born in 1980s, Professor Song Xuan is currently presiding over the national key R&D project "Multi-dimensional data space and service theory of manufacturing product life cycle value chain". The project focuses on the key technology of "manufacturing brain", which is the key theoretical model and technical method of tackling the problem, and provides technical support for the intelligent upgrading of high-end manufacturing industries (such as automobile manufacturing) in China.

Professor Song Xuan said that there are some problems in the process of data storage and analysis in manufacturing industry, such as chaotic data interface, inefficient storage, low level of intelligence and opaque information, which affect the quality of product collaboration and data value-added in manufacturing industry and are not conducive to the sustainable development of manufacturing intelligence. In view of this situation, the project puts forward a set of multidimensional data space and service theory of manufacturing product life cycle value chain, which integrates data sharing and integration and data analysis service. The multi-dimensional collaborative data space prototype model theory of product life cycle value chain based on blockchain proposed by this project can guide safe and efficient data sharing and assist product R&D collaboration; The data analysis method based on deep learning and knowledge generation technology proposed by the project can realize causal inference, speed up the traceability of problems and shorten the product development cycle. Taking intelligent manufacturing as an opportunity and the actual upgrading demand of manufacturing industry as a guide, the project focuses on the two cores of "manufacturing brain": data flow and intelligent analysis, which is of great significance for China’s manufacturing industry to build a competitive advantage in the industrial chain and further improve the intelligent level of manufacturing industry. The project also puts forward a set of multi-dimensional data space and service theory of manufacturing product life cycle value chain, which integrates data sharing and integration and data analysis service.

Professor Song Xuan believes that intelligent manufacturing needs a "manufacturing brain", and manufacturing data is the "blood" of "manufacturing brain"; Algorithm models such as deep neural network are the main part of "manufacturing brain" and play the role of thinking and decision-making; Data flow is collected in the "manufacturing brain", which can automatically complete data analysis, intelligent decision-making and product life cycle prediction and deduction, and realize efficient intelligent manufacturing. The theory of multi-dimensional collaborative data space prototype model of product life cycle value chain based on blockchain proposed by Song Xuan can guide safe and efficient data sharing and assist product R&D collaboration. The data analysis method based on deep learning and knowledge generation technology proposed by the project can realize causal inference, speed up the traceability of problems, shorten the product development cycle, and predict and simulate the product life cycle.

Building an urban brain platform and focusing on building a smart city

From December 2019 to December 2022, with the liberalization of the epidemic, the pneumonia epidemic in Covid-19, which lasted for three years, finally came to an end, and the epidemic situation was gradually controlled. In this epidemic prevention and control, Professor Song Xuan led the project team to develop the "novel coronavirus (Covid-19) communication modeling, prediction and simulation deduction platform driven by human flow big data and AI", which played an important role. Based on artificial intelligence (AI) technology, the model of potential infection sources and risk areas was mined on the city scale, and the communication modeling, prediction and simulation deduction platform for COVID-19 was built. For the big data analysis and AI modeling platform for novel coronavirus communication, the prediction and simulation deduction model was complete. Made outstanding contributions to the prevention and control of the epidemic.

In addition, Professor Song Xuan, as the project leader, has developed an "epidemic prevention chain" APP on the mobile device side. The APP on the mobile phone side can assess the risk of epidemic or major infectious diseases (such as new crown pneumonia, seasonal influenza, etc.) in real time by sensing the contact between users and others and analyzing various urban environmental big data (such as crowd density, air quality, environmental humidity and temperature, etc.).

In fact, as early as 2011, the big data analysis and modeling of people flow carried out by Song Xuan’s team contributed to the fight against viruses and natural disasters. In March 2011, after the earthquake in Japan and the Fukushima nuclear accident broke out, Song Xuan led the team to develop a number of emergency flow prediction models and a system to help the Japanese government analyze the evacuation and migration of victims after the disaster and formulate more efficient post-disaster reconstruction policies. In 2016, in response to the Ebola outbreak in West Africa, the research of Song Xuan’s team helped the International Telecommunication Union to analyze the flow of people in West Africa and the spread and infection of Ebola virus, which played an important role in the prevention and control of Ebola virus.

Professor Song Xuan has been deeply involved in the field of artificial intelligence for 15 years. He deeply realized that the main place for modern people to live and work is the city, and the core of urban management is to make people’s life in the city safer, more comfortable and more convenient. With the proposal of building a smart city, Song Xuan now pays attention to urban data and tries to alleviate or solve various "urban diseases" such as traffic congestion, environmental pollution and natural disasters. His team realized the simulation and prediction of the large-scale movement of urban people by building a modeling model of urban mass people movement, thus realizing efficient urban intelligent management. Song Xuan is currently tackling key problems and building an urban brain platform, bringing together all aspects of urban informatization and the whole process of urban management through high and new technologies to carry out control and support, so as to ensure travel safety, give full play to the efficiency of urban infrastructure, improve the operational efficiency of transportation system and the level of urban governance, alleviate all kinds of "urban diseases" to the greatest extent, and help urban governance to be more scientific, refined and intelligent.

"Scientific research should always serve the public" is precisely with such a sense of mission and responsibility. In the future scientific research, Song Xuan will always focus on his mission, aim high and live up to his youth, take data as the core and science and technology as the weapon, and strive to build an intelligent brain, help build a smart city and build an intelligent manufacturing power.

Tevez revealed that he hated Sir Alex Ferguson and informed him to move to Manchester City before the Champions League final! Revenge on Manchester United and renege

Argentine star Carlos Tevez, nicknamed "The Beast", is an enhanced version of Wehorst, who can score goals and catch up with his own bottom line from the front line. However, because of the transfer, he finally fell out with Sir Alex Ferguson, and even raised the slogan "Sir Alex Ferguson rests in peace" after moving to Manchester City. Even now that he has retired, the 39-year-old Tevez still resents the way Sir Alex treated him at Manchester United.

Tevez was loaned to Manchester United in 2007, during which he performed well, scoring 34 goals in various competitions and winning two Premier League titles and the Champions League trophy. However, Tevez did not complete the permanent transfer to the Red Devils. In 2009, he joined rival Manchester City, where he spent the next four seasons. Tevez insists that Sir Alex Ferguson was the reason for his decision to move to Manchester City.

The Argentine Beast stressed that he wanted to stay at Old Trafford, but Sir Alex made a false promise to him. Manchester United didn’t buy him out, so he didn’t hesitate when he received the invitation from Manchester City. "I don’t need to think too much, because I am angry with Ferguson. Tevez told ESPN, "As a coach, he is a phenomenon. He has been teaching at a club like Manchester United for so long, but something happened between me and him. 」

Tevez explained in detail: "I was loaned to Manchester United, and finally he told me:" Manchester United will buy you out, but I will bring Berbatov. Don’t worry, I brought him in to compete fairly with you. We will talk to your agent and reach an agreement on the contract and transfer. But in the end, they didn’t call the broker, and nothing happened. Time is running out. They began to want to lower my price. Every time I play, I perform, and the fans shout names. This is a year-long digestion process. 」

According to Tevez, before the 2009 Champions League final, he told Sir Alex Ferguson that he would join Manchester City as a revenge for United’s reneging on their words in the past year. "I have more or less accepted Sheikh Mansour’s proposal. After the final, I will take a private jet to meet him in Abu Dhabi with my family and solve the contract problem with Manchester City. All this happened before Manchester United’s Champions League final," Tevez added. "The day before the Champions League final against Barcelona, I told him that I would join Manchester City. 」

Tevez started 18 games in the Premier League that season and scored 5 goals, which he was not satisfied with. In that Champions League final, Sir Alex Ferguson finally arranged for him to play as a substitute in the second half, playing 20 minutes earlier than Berbatov, but neither of them played a role. Barcelona beat Manchester United 2-0. "Ferguson kept saying that he was going to buy me that season, and then he brought in Berbatov and didn’t let me play in the league. "The beast vomited.

Tevez then added: "It was like a dagger for him to tell him before the final that I was going to join Manchester City. But it is also true for me, because I love Manchester United. But for me, he didn’t keep his promise for a whole year, and he made me miserable. It hurts me a lot because I love Manchester United. I like playing football at Old Trafford. Playing football there is like a bomb explosion. It gives me that feeling. Then the chief came, and they told me that they wanted me to be the standard bearer of Manchester City. He showed me the blueprint for the future, just like the club is today. 」

After the official transfer of Tevez, Manchester City released a controversial advertisement in the local area, in which Tevez opened his arms and the poster read "Welcome to Manchester". Tevez later made 148 appearances for Manchester City, scored 73 goals and assisted 35 times, which helped the team win the Premier League and the FA Cup. However, his time with the Blue Moon also ended in a broken relationship because of falling out with coach Mancini.

The national football team plays today! Hit the Asian Cup semi-finals, the two favourites to win the championship are out, which is a lesson for Japan and South Korea.

The quarter-finals of the U20 Asian Cup are in full swing! China men’s soccer team is about to face the powerful Korean team in the quarter-finals! In the two Asian Cup knockout matches completed before this, the two favourites to win the championship were all out!

Host Uzbekistan vs Australia! Uzbekistan successfully drew Australia and dragged the game into a cruel penalty shootout. In the final penalty shootout, Uzbekistan advanced to the top four of the U20 Asian Cup with a total score of 6-5. Another game, the same is to defeat the strong with the weak! Iraq beat Iran 1-0 to advance to the top four! Two other places will be promoted soon. China and South Korea, Japan and Jordan will compete for the last two semi-finals of the Asian Cup!

China U20 men’s soccer team returned to the quarterfinals of the Asian Cup after 9 years! In the death group, China suffered a severe reversal when it led Japan 1-0 in the opening match, and got a good start 1-2. After that, the national football team broke out in desperation, defeated Saudi Arabia 2-0 in the qualifying battle, and drew Kyrgyzstan 1-1 in the final qualifying key battle to successfully qualify for the second place in the group! In the face of South Korea, the China team has no retreat, and it is expected that the national youth players will show their fighting spirit and fighting spirit and do every detail as they did against Saudi Arabia.

Against the powerful Korean team, the China men’s soccer team is not without opportunities! This year’s China U20 national football team clearly identified its position, adhered to the defensive counterattack and achieved great success, which was also able to miraculously qualify in the death group! Now, if we continue to stick to the defensive counterattack strategy, the miracle is likely to be continued! After three group matches, China U20 national football team’s ability to fight is constantly improving, and the goalkeeper’s brave play and the defense of China men’s football team are reassuring!

The future of China Men’s Football Team is in Xinjiang! Up to 7 players in the current U20 National Youth Team are from Xinjiang! Those who can’t kill us will only make us stronger! Every time the South Korean team fails to attack, it is an accumulation of opportunities for the national youth soldiers! With a good defense, China only needs a defensive counterattack to kill South Korea and advance to the Asian Cup semi-finals!

If miracles have color, it must be red! Looking forward to our national youth fighters, in the life-and-death war with South Korea, there will be no regrets! China’s men’s soccer team won the U20 Asian Cup, dating back to 1985, and the men’s soccer team in South Korea and China looked forward to a miracle.