As the Brazil Serie A 2025 season unfolds, a new wave of young talents is making a name for themselves across the league. From commanding defenders to dynamic forwards, these players are proving their worth with standout performances and impressive data-driven contributions. Using advanced performance metrics, we break down their impact, strengths, and potential, giving a data-driven perspective on why these rising stars are ones to watch. Let’s dive into the numbers and uncover what makes them stand out in Brazil Serie A.
Powered by CompaGPT, the next-generation AI solution from Comparisonator, this analysis simplifies complex football data into clear, actionable insights. With its cutting-edge features, CompaGPT revolutionizes squad analysis, delivering an instant, in-depth assessment of team performance. In just seconds, it pinpoints standout players, uncovers rising young talents, and identifies key areas for enhancement.
Beyond traditional analysis, CompaGPT offers strategic intelligence to refine transfer strategies. By detecting high-potential signings, it empowers clubs to strengthen key positions and scout future stars with accuracy. With CompaGPT, raw data transforms into valuable, data-driven insights, providing teams with a decisive advantage in the transfer market.
“Rising Star” 4 Best U23 Players Brazil Serie A 2025 Season
Kaiki (‘03) (LB) – Cruzeiro
Kaiki‘s CompaGPT Parameters League Defensive report:
Kaiki leads in ball recoveries with an average of 8.29 per match, placing him at the top among his peers. This impressive stat indicates his excellent ability to regain possession and disrupt the opposition’s play. His prowess in ball recoveries may allow him to effectively break down attacks and initiate counterplays. Leading with 4.15 interceptions per match, Kaiki demonstrates strong reading of the game and ability to intercept passes, disrupting opposition build-up play. This skill is crucial for halting dangerous advances and maintaining defensive solidity. Kaiki ranks first with 2.74 pass interceptions per match. His ability to anticipate and intercept passes is vital in cutting off supply lines and maintaining control over the defensive areas. This can be tactically beneficial in high-pressure situations.
Kaiki’s best ranking parameters showcase his defensive strengths, particularly in ball recoveries, interceptions, and clearances. He leads his peers in several crucial defensive metrics, underscoring his ability to disrupt opposition play and safeguard his team’s defensive zones effectively. However, attention to ball retention and minimizing losses, especially in defensive areas, could further enhance his overall performance and tactical contribution.
Kaiki (‘03) (LB) – Cruzeiro
Jhon Jhon (‘02) (AMF) – RB Bragantino
Jhon Jhon‘s CompaGPT Parameters League Offensive report:
Jhon Jhon leads his positional peers with an average of 0.29 goals and 0.16 expected goals per match, topping the rankings against players in similar roles. This indicates his proficiency in converting opportunities into goals and his positioning and anticipation in attacking plays. Tactically, he can be leveraged in advanced roles where he can exploit space and finish chances created by the team. His ability to create goal-scoring opportunities is further highlighted by his 2.43 shot assists per match. This makes him an essential component in orchestrating offensive plays and providing decisive passes, especially in high-pressure scenarios. Jhon Jhon’s 4.71 dribbles and 2.76 successful dribbles per match, along with 2.81 progressive runs, establish him as a dynamic player capable of advancing play and breaking defensive lines. His dribbling in the final third, with 1.62 successful attempts, signifies his capability to create space and opportunities in crucial areas. His dribbling prowess can be strategically used to maintain possession under pressure and transition from defense to attack.
Jhon Jhon’s standout attributes include his goal-scoring ability, playmaking prowess, and dribbling skills, making him a critical offensive asset for Red Bull Bragantino. He leads in goals, expected goals, assists, shot assists, and offensive actions, showcasing his capability to both create and convert opportunities. However, refining his shooting efficiency and dribbling success rate could further elevate his performance, positioning him as an even more formidable attacking force.
Jhon Jhon (‘02) (AMF) – RB Bragantino
Rayan (‘06) (RW) – Vasco da Gama
Rayan‘s CompaGPT Parameters League Offensive report:
Rayan ranks first among players in the same position with an impressive 0.33 goals average per match. This places him ahead of Jhon Jhon, who averages 0.29 goals. This statistic underscores Rayan’s ability to consistently find the back of the net, making him a key offensive asset. Tactically, Rayan can be utilized as a primary scoring threat, particularly in formations that rely on wingers to finish attacking moves. Leading the pack with 2.63 shots average per match, Rayan outperforms José Herrera, who averages 1.84 shots. This indicates Rayan’s aggressiveness in front of goal and his willingness to take on shooting opportunities. Teams might capitalize on this by ensuring Rayan receives ample support and space to maximize his shooting potential. Rayan also excels with 0.93 shots on target average per match, ahead of Andrés Gómez at 0.71. This demonstrates his precision in shooting, enhancing his effectiveness as a scoring threat. Coaches might focus on positioning Rayan to exploit defensive gaps, optimizing his ability to test goalkeepers consistently. With 1.63 opportunity average per match, Rayan stands as the leader in creating scoring chances, surpassing José Herrera at 1.05. This highlights his vision and ability to engineer goal-scoring situations. Strategically, utilizing Rayan in roles that allow him to orchestrate attacks can amplify team dynamics.
Rayan’s standout parameters include his goals, shots, and opportunities average per match, showcasing his prowess as a dynamic offensive player. His ability to consistently score and create chances positions him as a valuable asset in attacking strategies. However, there are opportunities to enhance his dribbling efficiency and shot accuracy, which could further elevate his impact on the pitch. By focusing on these areas, Rayan might become an even more formidable force for Vasco da Gama and potentially attract attention from larger clubs seeking promising young talents.
Rayan (‘06) (RW) – Vasco da Gama
Kaio Jorge (‘02) (CF) – Cruzeiro
Kaio Jorge‘s CompaGPT Parameters League Offensive report:
Kaio Jorge leads in expected goals with an average of 0.48 xG per match, surpassing his closest competitor, Vitor Roque, who averages 0.41. This indicates his proficiency in positioning and anticipation in goal-scoring opportunities. Additionally, his 1.03 average in playing in scoring attacks highlights his active participation and influence in offensive plays, showcasing his ability to contribute consistently to the team’s attacking phases. Tactically, this suggests he can be utilized as a central figure in offensive strategies, especially in creating and capitalizing on goal-scoring chances. Jorge averages 2.73 shots per match, leading among his peers, with Rayan following at 2.43. His ability to consistently generate shooting opportunities is complemented by his 4.3 touches in the box, indicating his active presence and positioning within critical scoring zones. This makes him a strategic asset in situations demanding frequent and effective penetration in the opponent’s penalty area.
Kaio Jorge demonstrates significant strengths in expected goals, assists, and overall shooting metrics, highlighting his capability as both a scorer and creator. His ability to influence scoring attacks and maintain a strong presence in the box makes him a valuable asset in offensive strategies. However, areas such as dribbling efficiency and shot assists suggest opportunities for improvement, which can enhance his impact in creating and executing plays under pressure.
Kaio Jorge (‘02) (CF) – Cruzeiro
