Why Fluid Temperature Monitoring Matters in Data Logging In high-performance racing, engines and driveline systems operate under extreme heat and pressure. Every fluid in the vehicle — oil, transmission fluid, coolant, fuel, converter fluid, or hydraulic fluid — has an...
Accurate temperature data is essential for protecting engines and maximizing performance. Learn how thermistor style temperature sensors work, where to install them, and why they're a critical part of any motorsports data logging system. Discover how monitoring coolant, oil, fuel, intake air, and transmission temperatures helps improve tuning accuracy, component reliability, and race-day consistency.
Choosing the right driveshaft sensor is key for accurate drag racing data logging. Compare 2-pin (Reed Switch) vs 3-pin (Hall Effect) sensors, their pros and cons, and find the best option for your setup. Improve traction, tuning, launch consistency, and overall performance with reliable speed data.
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.
PDS Caliper Software gives racers, tuners, and crew chiefs a powerful way to visualize, compare, and understand vehicle performance without the complexity of traditional data analysis tools. Explore how Caliper makes it easier to overlay runs, identify performance changes, analyze everything from engine and driveshaft data to suspension and chassis movement, and make faster tuning decisions. Built to work across the PDS data acquisition ecosystem, Caliper turns raw data into clear answers—so you can spend less time interpreting graphs and more time finding performance.
Discover why modern drag racers rely on professional data acquisition to understand performance, improve consistency, and make smarter tuning decisions. This guide breaks down how PDS X1 and X2 Data Loggers capture critical engine, chassis, suspension, ignition, and environmental data—from Sportsman racing to extreme nitro applications. Learn how expandable XBus technology, high-speed recording, CAN integration, and advanced analysis give racers a clearer picture of every pass. Because when every millisecond matters, guessing isn’t a strategy.
Learn how to create math channels in DataLink II that calculate shock velocity in inches per second for each shock travel sensor. This step-by-step guide walks you through creating derivative channels, configuring the correct expressions and units, and setting appropriate scaling—giving you a clearer view of how quickly your suspension is moving so you can make more informed tuning decisions.
