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How do teams utilize data analytics in NASCAR

Sure! Here are six different ways teams use data analytics in NASCAR:

**Performance Tracking**: Teams analyze lap times, tire wear, and fuel consumption to figure out how their car is performing throughout the race. This helps them make quick adjustments during pit stops.

**Race Strategy**: By looking at data from previous races, teams can predict when to pit or how to respond to weather changes. It’s all about making the right calls at the right time to gain an edge.

**Driver Analysis**: Teams use data to evaluate driver performance, like how they handle different tracks or their reaction times. This helps in coaching drivers to improve their skills.

**Car Setup Optimization**: Data analytics helps teams tweak car setups for different tracks. They analyze how changes in suspension or aerodynamics affect speed and handling.

**Competitor Analysis**: Teams keep an eye on their rivals by analyzing their data to see what works for them. This way, they can identify strengths and weaknesses in the competition.