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American Focus > Blog > Sports > Kylian Mbappe may have been thwarted vs. PSG, but here’s why Real Madrid star could hit 50 goals this season
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Kylian Mbappe may have been thwarted vs. PSG, but here’s why Real Madrid star could hit 50 goals this season

Last updated: July 9, 2025 9:45 pm
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Kylian Mbappe may have been thwarted vs. PSG, but here’s why Real Madrid star could hit 50 goals this season
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Kylian Mbappe faced off against his former team, Paris Saint-Germain, for the first time since joining Real Madrid in 2024. The match ended in a disappointing 4-0 loss for Real Madrid, with Mbappe struggling to make an impact on the game. It was Mbappe’s first start in the tournament after recovering from gastroenteritis, but the absence of key players like Dean Huijsen and Trent Alexander-Arnold forced Real Madrid to shift their tactics to a traditional 4-4-2 formation.

The change in formation made it easy for PSG to control the game and limit Mbappe’s influence. The French striker only had 27 touches throughout the match, managing to take four shots with just one on target. The lack of creativity in the midfield meant that Real Madrid failed to break down the PSG defense and create scoring opportunities. This tactical approach mirrored Carlo Ancelotti’s setup from the previous season, which struggled against top-tier teams.

In contrast, Real Madrid had found success in the tournament when using a 4-4-2 diamond or a 3-5-2 formation. These formations allowed players like Francisco Garcia and Alexander-Arnold to showcase their attacking abilities while providing defensive stability. The return of Dani Carvajal and Eder Militao from injury in the match against PSG could give Real Madrid the option to revert to their successful tactical setups.

Despite the loss, there are positives for Real Madrid to take from the match. Players like Garcia and Alexander-Arnold have proven their worth in the tournament, earning their place in the starting lineup. The versatility of players like Antonio Rudiger, Huijsen, Raul Asencio, and Tchouameni gives manager Xabi Alonso options to adapt the team based on the opposition.

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Looking ahead, the combination of Mbappe and Alexander-Arnold could be a potent attacking force for Real Madrid. With Alexander-Arnold’s ability to deliver precise passes and Mbappe’s goal-scoring prowess, the duo could wreak havoc on opposing defenses. Despite some initial struggles to fit into Real Madrid’s system, Mbappe’s talent and goal-scoring ability make him a crucial asset for the team in the upcoming season.

In conclusion, the loss to PSG highlighted the importance of tactical flexibility and the need for Real Madrid to adapt to different opponents. With key players returning from injury and a deep squad at his disposal, Xabi Alonso has the tools to lead Real Madrid to success in the La Liga and beyond. The partnership between Mbappe and Alexander-Arnold holds great promise, and fans can look forward to an exciting season ahead. The world of science and technology is constantly evolving, with new discoveries and innovations being made every day. One area that has seen significant growth in recent years is the field of artificial intelligence (AI). AI is the simulation of human intelligence processes by machines, especially computer systems. It involves the development of algorithms that allow machines to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

One of the most exciting developments in the field of AI is the creation of neural networks. Neural networks are a type of machine learning algorithm that is inspired by the way the human brain works. They consist of interconnected nodes, or artificial neurons, that process information and learn from it to make predictions or decisions. Neural networks have been used in a wide range of applications, from image and speech recognition to autonomous vehicles and medical diagnosis.

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Another major breakthrough in AI is the development of deep learning algorithms. Deep learning is a subfield of machine learning that uses neural networks with multiple layers to learn complex patterns in data. These algorithms have been instrumental in advancing AI technologies, particularly in areas such as natural language processing, computer vision, and robotics. Deep learning has enabled machines to achieve human-level performance in tasks such as image classification, speech recognition, and game playing.

AI has also made significant strides in the field of healthcare. Machine learning algorithms are being used to analyze medical images, predict patient outcomes, and optimize treatment plans. AI-powered systems can help doctors diagnose diseases more accurately and efficiently, leading to better patient outcomes. In addition, AI is being used to develop new drugs and treatments, speeding up the drug discovery process and improving personalized medicine.

In the world of business, AI is being used to automate repetitive tasks, improve decision-making, and enhance customer experiences. AI-powered chatbots are being used to provide customer support, virtual assistants are helping employees with their daily tasks, and predictive analytics are helping companies make better strategic decisions. AI is also being used in marketing and advertising to personalize content and target audiences more effectively.

Despite the rapid advancements in AI, there are still challenges that need to be addressed. One of the biggest concerns is the ethical implications of AI, particularly in terms of privacy, bias, and job displacement. As AI technologies become more sophisticated, there is a growing need to ensure that they are used responsibly and ethically.

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Overall, AI has the potential to revolutionize a wide range of industries and improve our daily lives in countless ways. As researchers continue to push the boundaries of what AI can achieve, we can expect to see even more exciting developments in the field in the years to come.

TAGGED:goalsHereshitKylianMadridMbappePSGrealSeasonstarthwarted
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