Fidamen

Quarter-Mile Time Estimator

Use this quarter-mile time estimator to translate vehicle weight, wheel horsepower, and trap speed into an estimated quarter-mile elapsed time (ET) and finish-line speed on a 1,320-foot drag strip.

The underlying equations are empirical fits to real drag racing data, originally popularized by engineer Roger Huntington and refined by decades of racers and tuners.

All calculations assume a standing start over a standard quarter mile with good traction and a mechanically healthy vehicle. Real-world results vary with gearing, aerodynamics, surface prep, weather, and driver skill.

Updated Nov 22, 2025QA PASS — golden 25 / edge 120Run golden-edge-2026-01-23

Governance

Record ff36f4731549 • Reviewed by Fidamen Standards Committee

Estimate quarter-mile ET and trap speed from vehicle weight and wheel horsepower using Huntington-style drag racing formulas.

Inputs

Results

Updates as you type

Estimated quarter-mile ET

13.2102

Estimated trap speed

MPH 103.18

OutputValueUnit
Estimated quarter-mile ET13.2102s
Estimated trap speedMPH 103.18mph
Primary result13.2102

Visualization

Methodology

This estimator uses classic drag racing correlations linking ET and trap speed to the ratio between vehicle weight and wheel horsepower.

For the weight and horsepower method, the calculator uses a Huntington-style fit: ET = 5.825 × (weight / horsepower)^(1/3).

The trap-speed method uses hp ≈ weight × (trap speed / 234)^3 to infer wheel horsepower from terminal speed.

Both methods assume straight-line acceleration, efficient power delivery, and clean shifts without excessive wheelspin.

The formulas are calibrated on typical drag strip conditions and should be considered approximations with expected variance.

Key takeaways

This estimator provides transparent, physics-informed predictions tailored for tuners, engineers, and performance enthusiasts.

Real drag performance depends heavily on traction, weather, and driver technique, so results should be used for planning and comparison rather than certification.

Worked examples

Example 1: A 3,600 lb car with 400 wheel horsepower yields an estimated 12.6-second quarter mile.

Example 2: A 2,600 lb lightweight build with 300 wheel horsepower runs a similar ET due to better power-to-weight ratio.

Example 3: A 3,400 lb car trapping 118 mph produces an inferred wheel horsepower used to estimate ET.

F.A.Q.

How accurate is this estimator?

Typical predictions are within a few tenths of a second and a few miles per hour, but real-world results depend on traction, weather, and driver technique.

Should I enter engine horsepower or wheel horsepower?

Use wheel horsepower for best accuracy because drivetrain losses can exceed 15 to 25 percent.

Why do the formulas use a one-third power?

The one-third relationship reflects diminishing returns as power increases or weight decreases and matches empirical drag racing data.

Can this be used for eighth-mile tracks?

No. The constants used here are specific to a quarter-mile. Other distances require different regression coefficients.

Is this suitable for street-racing planning?

No. Performance testing should only be conducted at sanctioned facilities that enforce safety regulations.

Sources & citations

Further resources

Versioning & Change Control

Audit record (versions, QA runs, reviewer sign-off, and evidence).

Record ID: ff36f4731549

What changed (latest)

v1.0.02025-11-22MINOR

Initial publication and governance baseline.

Why: Published with reviewed formulas, unit definitions, and UX controls.

Public QA status

PASS — golden 25 + edge 120

Last run: 2026-01-23 • Run: golden-edge-2026-01-23

Engine

v1.0.0

Data

Baseline (no external datasets)

Content

v1.0.0

UI

v1.0.0

Governance

Last updated: Nov 22, 2025

Reviewed by: Fidamen Standards Committee (Review board)

Credentials: Internal QA

Risk level: low

Reviewer profile (entity)

Fidamen Standards Committee

Review board

Internal QA

Entity ID: https://fidamen.com/reviewers/fidamen-standards-committee#person

Semantic versioning

  • MAJOR: Calculation outputs can change for the same inputs (formula, rounding policy, assumptions).
  • MINOR: New features or fields that do not change existing outputs for the same inputs.
  • PATCH: Bug fixes, copy edits, or accessibility changes that do not change intended outputs except for previously incorrect cases.

Review protocol

  • Verify formulas and unit definitions against primary standards or datasets.
  • Run golden-case regression suite and edge-case suite.
  • Record reviewer sign-off with credentials and scope.
  • Document assumptions, limitations, and jurisdiction applicability.

Assumptions & limitations

  • Uses exact unit definitions from the Fidamen conversion library.
  • Internal calculations use double precision; display rounding follows the unit's configured decimal places.
  • Not a substitute for calibrated instruments in regulated contexts.
  • Jurisdiction-specific rules may require official guidance.