Data tools for bracket and sportsman racers
Drag Racing Logbook and ET Predictor
Drag Race Logbook Pro turns paper time slips and run history into practical race-day decisions. Photograph a slip or a notebook page, review the extracted numbers, and keep every pass organized by car, track, weather and distance.
What does the app do between rounds?
It brings slip capture, digital run records, weather context, density-altitude calculations and ET prediction into one workflow. It is designed for bracket, sportsman, class and junior dragster competitors who want a consistent record without retyping every number after a pass.
- Track reaction time, 60-foot, 330-foot, 660-foot, ET, MPH, dial-in and notes.
- Organize multiple cars, tracks, race distances and maintenance records.
- Export your run history for analysis or backup whenever you need it.
The timing fields follow the format used across NHRA-sanctioned racing. NHRA's introduction to NHRA drag racing explains the classes and the 1,320-foot quarter-mile that most slips record.
How does the time-slip scanner work?
Use a phone camera to photograph a printed slip or a handwritten page. The scanner identifies the common timing fields, presents the extracted values for review, and keeps each one editable before it becomes part of your saved history. That review step matters because you remain the final authority on your data.
How does the ET predictor use weather and density altitude?
The predictor compares a specific car's historical runs with the conditions recorded for each pass. Temperature, humidity, pressure, elevation and density altitude help explain why the same car can produce different elapsed times on different rounds. Use the result as a data-backed baseline, then compare it with the pass you actually made.
Density altitude is defined in the FAA's Pilot's Handbook of Aeronautical Knowledge as pressure altitude corrected for non-standard temperature. You can cross-check a reading with the National Weather Service density altitude calculator. These are aviation and weather references, not drag-racing ET formulas; the app's predicted ET comes from your own car's logged runs.
Try the density-altitude calculator or read about ET prediction.
What can racers track between rounds?
How can I organize runs by car and track?
Keep separate history for every car and browse the public strip directory for location, elevation, length and surface details.
How does weather affect my car’s performance?
Record atmospheric conditions alongside each run, compare passes across different air, and review trends instead of relying on memory.
How can I practice reaction times before race day?
Use the Practice Tree to rehearse reaction-time routines and return to the dashboard with the information needed for the next round.
What questions do racers ask about logging their runs?
Can I import old paper records?
Yes. Photograph your notebook pages and review the extracted runs before saving them. Free accounts can import pages to evaluate the workflow before upgrading.
Does it support 1/8-mile and 1/4-mile passes?
Yes. Runs can include the distance-specific split and elapsed-time fields used at eighth-mile and quarter-mile tracks.
Can I edit scanner results?
Yes. Every extracted field is editable before the run is saved, so you can correct a number or add context from the slip.
Who builds the app?
Drag Race Logbook Pro is built by Philip Irby, founder and lead engineer with 15+ years in software engineering, sports-performance analytics and computer vision, and an active bracket competitor.
- Experience: 15+ years of professional software engineering, specializing in sports-performance analytics and computer vision.
- Racing background: active bracket and sportsman racer who uses the logbook in the staging lanes on race weekends.
- Built by him: the car-specific ET prediction model and the computer-vision pipeline behind the time slip scanner.
- Areas of expertise: bracket dial-in analysis, density altitude math, NHRA rules, OCR and machine-learning regression.
Read his full profile on the About page or find Philip Irby on GitHub.