Two runs. A 0.017 ET difference. One tells you it's a bad pass—the other tells you exactly why. See how splitting a run into four sections turns "it felt off" into "it lost time at the hit, and the air got worse.
Same car, zero changes, .05 second swing—that's the air talking. Here's the handful of weather variables that actually move ET and MPH (and the ones you can safely ignore), plus how to turn weather logs into real, repeatable tuning data.
A corrected ET can look better while your actual run got worse. DA correction estimates what your car would run—it doesn't explain what it did. Here's when to trust it, when it breaks down, and why real data beats a formula every time.
This guide breaks down how to read a drag racing data log like a pro—from launch and 60-foot performance to mid-track acceleration and top-end efficiency. Discover which channels matter, how to compare strong and weak runs, and how to identify the exact moment a pass starts to change. With a methodical approach to data analysis, you can stop guessing, find what’s costing ET, and make smarter tuning decisions every pass.
Learn the five common mistakes racers make when tuning by feel instead of measurable performance. From chasing a run that only felt faster to ignoring 60-foot data, track conditions, and run-to-run trends, this guide shows how data can separate perception from reality. See how tools like PDS Caliper help overlay runs, identify where performance changed, and connect results to conditions—so you can make smaller, smarter adjustments and stop tuning based on assumptions.
Learn how Density Altitude (DA) affects drag racing performance without getting buried in the science. This guide breaks down what DA means, how temperature, pressure, and humidity affect your car, and why the same tune can perform differently from one run to the next. Discover how tracking DA alongside ET, MPH, and race data can help you build your own performance model—and use tools like PDS Caliper to turn changing conditions into a tuning advantage.
