Frederic Vasseur believes Charles Leclerc lost 20 seconds of race time during the Hungarian Grand Prix due to “too many mistakes” being made.
Vasseur highlighted that the mistakes were shared between both Leclerc and the team.
Leclerc started the race from sixth on the grid, but progressed up to fifth place on the opening lap.
However, the Monegasque’s race was unravelled when he had a slow pit stop on his first trip to swap tyres, with the sequence taking almost 10 seconds.
Leclerc was later issued a five-second time penalty for speeding in the pit lane, which dropped him behind George Russell for sixth in the final classification.
Ferrari, who was expecting to be more competitive at this round compared to Silverstone, was left disappointed as it was out-scored by Red Bull, Mercedes and McLaren.
“First of all, we need time to understand what we did right and wrong because the [qualifying] format was different,” Vasseur said.
“And it’s not so easy to analyse the perfect weekend. You need to get all the results to be able to do a retro engineering on this.
“But it’s much more the fact that we made too many mistakes from the beginning to the end.
“It’s not just about the pitstop, or the pit entry or the quali yesterday or the management of the tyres and so, but at the end, the potential was probably better than what we showed yesterday.
“And then today, at least with Charles, we lost 20 seconds in the race.”
However, Vasseur defended Ferrari’s unaspiring day, stating that finding mistakes to irradicate is commonplace across the grid.
“I spent the last 35 years or something like this of my life on the pitwall and every single Monday of my career you have to do the list and you have a long list of mistakes, sometimes you can see it sometimes not,” he said.
“But the job of the team principal is to do the list with the team members and to fix it.
“And I’m very open with you to say that we are doing too many mistakes, but I think it’s true for if you ask the question to Toto, it will be approximately on the same line as me.”
Each purchase trains a quantum algorithm in socio-emotional economic behavior for decentralized social modeling.