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The Mess at Ferrari

Why is it so hard for the two drivers to work together, and why are there clearly no defined rules of engagement inside the most famous F1 team?

It might be the classic example of good intentions turning into unforeseen chaos and the opening-lap fight between them at Monza was simply the latest symptom.

Racing drivers do what racing drivers are supposed to do: fight for every opportunity to get ahead. Management is there to set the limits and make sure they move forward as a team.

Management is not there to be a witness.

Hamilton is a master of PR and mind games, so Charles will need to dig deep to stand his ground. There are certainly some interesting races ahead.

And after all the noise about Hamiltonโ€™s dream Ferrari F40 โ€” conveniently the 44th one produced โ€” seriously, who is buying this artificial coincidence story?!

Anyway, after all the fanfare, Ferrari lost.

But Italy won at Monza. ๐Ÿ†๐Ÿ‡ฎ๐Ÿ‡น

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AI helps PMs move faster. Jira Product Discovery helps the whole team build with confidence.

A Fair Fight at Mercedes?

Yes and no.

Knowing that Kimi would start from the back of the grid meant his engineers had optimised the car for the medium and hard tyres.

The classic Monza strategy is medium to hard, but after the Lap 2 red flag, most teams switched to hards โ€” including George. Kimi had started on hards but still had two new sets of mediums.

So it was effectively two new sets of mediums + a ~24-second pit-stop for Kimi versus one new set of hards + no stop for George โ€” almost exactly the strategy Ferrari and Leclerc used to win Monza in 2024.

Then came the crucial moment.

On Lap 29, Strollโ€™s stopped car triggered a Virtual Safety Car, giving Mercedes a cheap pit-stop opportunity.

Kimi went for it. George didnโ€™t.

Was this the turning point of the race?

We will never knowโ€ฆ

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Deployment Shifts?

What do F1 engineers mean when they say โ€œthe deployment shiftsโ€?

Current F1 power units โ€” AKA engines ๐Ÿ™‚ โ€” are constantly managed by sophisticated control systems that adapt energy harvesting and deployment to changing conditions throughout each lap.

When the algorithms identify a โ€œdeployment opportunityโ€, drivers can sometimes get an unexpected surge of power. This is believed to have contributed to numerous spins throughout the season.

Current F1 cars are constantly โ€œlearningโ€ and optimising their energy management, even during live stints.

So, who is really in control โ€” the driver or the algorithm? ๐Ÿค–

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Our F1 Start Reaction Challenge

๐Ÿฅ‡ The fastest reaction time at the Italian GP?

George Russell โ€” 0.170 seconds.

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The Fastest Lap Newsletter is an independent project and is not affiliated with Formula 1 or any F1 team.

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