Gabriel Bortoleto Pranks Nico Hulkenberg at US Grand Prix

In a moment that quickly went viral, Audi's Gabriel Bortoleto pulled a prank on teammate Nico Hulkenberg during the driver walk-out at the Circuit of the Americas. As thousands of fans cheered, the Brazilian driver pulled down Hulkenberg's trousers, adding a touch of levity to a high-pressure race weekend in Austin.

Why it matters:

The light-hearted interaction highlights a strong bond between the two drivers despite the immense pressure facing Audi in its early years of full factory operation. In a season defined by technical struggles and a fight for mid-field relevance, maintaining a positive internal atmosphere is critical for the team's cohesion as they navigate the 2026 regulations.

The Details:

• Viral Moment: The prank occurred during the Friday stage walk-out, with Hulkenberg reacting with good humor as the crowd cheered.
• Team Standings: Audi currently sits eighth in the 2026 Constructors' Championship with a total of 23 points.
• Driver Performance: Nico Hulkenberg has contributed 13 points to the tally, while Bortoleto has secured 10.
• Grid Penalty: Bortoleto will start Sunday's United States Grand Prix from the back of the grid after the team exceeded his power unit component allocation.

The Big Picture:

The 2026 campaign has been a steep learning curve for the Ingolstadt-based outfit. Since transitioning from the Sauber era, the team has struggled to find consistent pace and reliability. Following a notable issue in Singapore, the team is still fighting to stabilize its power unit performance. While the partnership between the veteran Hulkenberg and the young Bortoleto remains one of the more relaxed on the grid, the lack of points reflects the difficulty of the current technical transition.

What's next:

The primary focus for Audi now is reliability and consistency. Bortoleto has expressed optimism regarding recent improvements, emphasizing the need to complete the remaining races and qualifying sessions without major mechanical failures to maximize data extraction for future development.