🔦Understanding Lighthouse Scores

How Google Lighthouse calculates performance scores, what the thresholds mean, and how to interpret the scoring curve.

Hugo Team·March 19, 2026
lighthouseperformance scorescoringgooglechrome devtools

Google Lighthouse is an open-source tool that audits web pages for performance, accessibility, best practices, and SEO.[1] Hugo uses the Lighthouse engine (via PageSpeed Insights API) to generate performance scores during Premium analyses.

How Scores Are Calculated

The Lighthouse performance score is a weighted average of five metrics:[2]

Lighthouse 11.x Metric Weights
100%total
TBT30%
LCP25%
CLS25%
FCP10%
Speed Index10%
MetricWeightWhat It Measures
Total Blocking Time (TBT)30%Main thread responsiveness
Largest Contentful Paint (LCP)25%Loading — when largest element appears
Cumulative Layout Shift (CLS)25%Visual stability during load
First Contentful Paint (FCP)10%When first content appears
Speed Index10%How quickly content is visually complete

Scoring Curve

Lighthouse uses a log-normal distribution to convert raw metric values into 0–100 scores.[2] This means improvements at the lower end of the scale have a larger impact than at the higher end — going from 20 to 50 is easier than going from 80 to 90.

Log-Normal Scoring Curve (LCP example)
02550751000ms2.5s5s7.5s10sRaw Metric ValueScore
ℹ️Score Variability

Lighthouse scores can vary between runs due to network conditions, server load, and background processes. Google recommends averaging multiple runs for reliable benchmarking.[2]

Score Ranges

RangeColorInterpretation
90–100🟢 GreenGood — fast, responsive, stable
50–89🟠 OrangeNeeds Improvement — visible performance issues
0–49🔴 RedPoor — significant performance problems

Common Misconceptions

  • A score of 100 doesn't mean your page is perfectly fast — it means it's in the top percentile of web performance.[2]
  • Mobile and desktop scores differ significantly — Google scores mobile performance on throttled conditions.[2]
  • Lighthouse measures lab data (simulated), not field data (real users). Both matter for SEO.[3]
  • Third-party scripts (ads, analytics, chat widgets) can heavily impact your score but may be unavoidable.

References

  1. [1]Google Developers — Lighthouse overview — developer.chrome.com
  2. [2]Chrome Developers — Lighthouse performance scoring — developer.chrome.com
  3. [3]web.dev — How metrics are measured (Lab vs Field) — web.dev

We value your privacy

We use localStorage to keep you signed in. No tracking cookies are set. Read our Cookie Policy and Privacy Policy for details.