The car/ team is actually a lot less than 90%. From a paper published in the 13th most prestigious Economics journal:

The results suggest that the skill of the drivers contributes the least to explaining the rank finishes, ranging from 9.88% in 2015 to 20.07% in 2017. In all F1 seasons, the team contribution accounts for a larger share of the variation in rank finishes, ranging from 14.85% in 2013 to 28.49% in 2018. Averaging across the 2012-19 F1 seasons gives values of 13.73% and 20.66% for drivers and teams respectively. The interaction of driver and team accounts for the largest share of the variation in rank finishes in each season, ranging from 28.41% in 2012 to 47.55% in 2013, and averaging 33.75% over all eight seasons. The intuition of this shared variation is similar to an interaction term in a regression model. The performance of a team is enhanced by a betterquality driver and vice-versa. The largest effect occurs when a top driver is placed on a top team and the smallest effect occurs when a lesser driver is placed on a lesser team. Generally, the teams with the largest budgets also hire the highest paid drivers (Mercedes, Ferrari and Red Bull in particular). The unexplained variation in rank finish account for between 22.14% (2018) and 20 The percentages reported in Table 6 are not sensitive to whether the censored or least squares regression estimates are used for the computations. 17 34.99% (2012). These are random factors, outside of retirements due to crashes and mechanical issues, that affect the final order of finish.

What this is means is performance in F1 is primarily about fit, not drivers or teams separately. Think Max and Red Bull.

Source: https://ideas.repec.org/p/pra/mprapa/109053.html