Answers · Websites & Page Speed

Why does my site score differently in Lighthouse than in PageSpeed Insights?

Last reviewed: · Strategic AI Architects Data Desk · reviewed by Mike Moore

Because the two tests run under different conditions: Lighthouse in your own browser measures the page on your hardware, your network, and your browser state, while PageSpeed Insights runs Lighthouse on Google's servers against a simulated mid-range phone with a throttled connection — and PSI additionally shows field data from the Chrome UX Report, which is not a test at all but the recorded experience of your real visitors over the previous 28 days (Google, "About PageSpeed Insights," verified live August 18, 2026).

The qualifier: none of these numbers is wrong; they answer different questions. Google's own web.dev guidance ("Why lab and field data can be different") is explicit that lab tools control conditions to make results reproducible, while field data reflects the messy spread of real devices, networks, and behavior — and that you should use field data to measure and lab tools to diagnose. The number Google's ranking systems assess is the field data, at the 75th percentile.

One URL, three legitimate numbers

The three measurements you can get for the same page (Google documentation, verified live August 18, 2026)
MeasurementRuns whereAnswers
Lighthouse in DevToolsYour machine, your network"What can I fix?" — fast iteration while developing
PageSpeed Insights lab scoreGoogle's servers, simulated mid-range phone, throttled network"How does this page do on standardized hard-case hardware?"
CrUX field data (in PSI)Your real visitors' Chrome browsers, past 28 days"What did people actually experience?" — the ranking-relevant assessment

One trap from our own build logs is worth naming, because nothing in the report warns you: Lighthouse will happily score the wrong page. Password-protected preview URLs — Vercel's deployment protection is the case we hit — answer with a 302 redirect to a login screen, and Lighthouse follows the redirect and scores the login page. The login page is tiny, so the score comes back high, on a page none of your visitors will ever see. We now measure production URLs or a local build of the site, never a protected preview (SAA build process, 2026). If a staging score looks suspiciously clean, check what HTML the test actually loaded before believing it — a real 99+ has to be earned on the real pages.

Sources

  1. Google for Developers. "About PageSpeed Insights" — lab data via Lighthouse on a simulated device and throttled network; field data via the Chrome UX Report over a 28-day window. Verified live 2026-08-18. developers.google.com.
  2. web.dev (Google). "Why lab and field data can be different (and what to do about it)." Verified live 2026-08-18. web.dev.
  3. Chrome for Developers. "Lighthouse performance scoring" — score variability across runs. Verified live 2026-08-18. developer.chrome.com.
  4. Strategic AI Architects. Build-verification logs, 2026: protected preview URLs 302 to a login page that Lighthouse then scores; production-URL or local-build measurement adopted as standard.

Related questions

Which number should I actually trust?

Field data for the verdict, lab data for the diagnosis — that is web.dev's own guidance. The Chrome UX Report field data describes what real visitors experienced over the past 28 days and is what Google's ranking systems assess; Lighthouse is the controlled experiment you use to find and fix the causes. When they disagree, the field data is the reality.

Why does Lighthouse in my browser's DevTools score higher than PageSpeed Insights?

Because your machine is faster than Google's test rig. DevTools runs on your actual hardware and network, usually a desktop on broadband with applied throttling that still flatters the result; PageSpeed Insights runs Lighthouse on a simulated mid-range phone over a throttled mobile connection. The PSI mobile number is the harder, more standardized test — treat it as the benchmark, and DevTools as the iteration loop.

Can the same tool give me two different scores minutes apart?

Yes. Lighthouse runs are single samples subject to variability — server response time, network conditions, A/B tests, ads, and test-machine load all move the number run to run, which Google's Lighthouse documentation covers under score variability. Judge trends across runs, not any single run.

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