Back to Blog

F1

Every F1 circuit on the 2026 calendar, by the numbers

Track length, lap record, elevation, downforce profile and DRS zones for all 23 circuits on the revised 2026 calendar.

S
Sarma
8 March 202611 min readLast verified 3 May 2026
ShareLinkedInX

The 2026 F1 calendar has 23 races across five continents. The original 24-round schedule was trimmed after the Bahrain Grand Prix was cancelled. Each circuit has a distinct character: high-speed flowing corners, slow technical sequences, twisty street layouts, fast straights. Here is the complete data set for the season, with the circuits ranked by characteristic.

The full table

2026 circuit data summary
SpecLengthCornersDRSElevation Δ
Saudi Arabia (Jeddah)6.174 km273 zones11 m
Australia (Albert Park)5.278 km144 zones5 m
Japan (Suzuka)5.807 km182 zones40 m
China (Shanghai)5.451 km162 zones8 m
Miami5.412 km193 zones3 m
Imola4.909 km192 zones46 m
Monaco3.337 km191 zone42 m
Spain (Barcelona)4.657 km142 zones30 m
Canada (Montréal)4.361 km143 zones7 m
Austria (Red Bull Ring)4.318 km103 zones63 m
Britain (Silverstone)5.891 km182 zones16 m
Hungary4.381 km142 zones36 m
Belgium (Spa)7.004 km192 zones101 m
Netherlands (Zandvoort)4.259 km142 zones20 m
Italy (Monza)5.793 km112 zones15 m
Singapore4.940 km194 zones4 m
USA (Austin)5.513 km202 zones40 m
Mexico4.304 km173 zones6 m
Brazil (Interlagos)4.309 km152 zones43 m
Las Vegas6.201 km172 zones0 m
Qatar (Lusail)5.419 km162 zones5 m
Abu Dhabi (Yas Marina)5.281 km162 zones7 m

A few things stand out from this table[1]:

  • Spa is the longest at 7.004 km. Monaco the shortest at 3.337 km. A driver completes 70 laps of Monaco in roughly the time they complete 44 of Spa.
  • The biggest elevation change is Spa at 101 metres. Eau Rouge alone climbs 41 metres in under 200 metres of track length.
  • Singapore has the most DRS zones (4) reflecting how slow the circuit is and how much help drivers need to overtake.

Lap-time benchmark

Different circuits, different lap-time regimes. Lap-time is a function of length, corner count, average corner speed, and downforce setup.

Chart
Lap times at each 2026 circuit, by qualifying pace
Outright lap time benchmark across the 2026 calendar. Spa is the longest lap; Monaco the shortest.

Source: F1 official lap records via Ergast API

Spa's 1:46 is dominated by the long Kemmel Straight and the Les Combes complex. Monaco's 1:13 is dominated by Casino Square and Tabac, with no real straight at all. Singapore at 1:28 is the slowest of the medium-length circuits, partly due to bumpy concrete-strip surface beneath the painted lines.

Three regime classification

I find it useful to bucket circuits by their dominant characteristic. Setup choices and tyre strategy follow from the regime.

Power tracks

Spa, Monza, Las Vegas, Baku, Saudi Arabia. Long straights, low downforce setups, slipstream-dependent overtaking. Engine power matters more than chassis. Mercedes traditionally strong; Ferrari competitive; Red Bull less so since 2024 due to drag-coefficient compromises.

Downforce tracks

Hungary, Singapore, Monaco, Zandvoort. High downforce, low engine emphasis. Mechanical grip and chassis balance dominate. McLaren and Ferrari historically strong; Red Bull good when the front-end balance is right.

Hybrid tracks

Silverstone, Suzuka, Spa (yes, both), Austin, Mexico. Long fast corners require both downforce and power. The cars that win these are the cars that win the championship.

Where to find the actual data

Ergast Developer API is free, no key required, and serves every result, lap, qualifying time, and circuit dimension since 1950[1]. Example endpoint:

https://ergast.com/api/f1/2026/circuits.json

returns every 2026 circuit as JSON with lat/long, length, country, and a Wikipedia link.

For lap-by-lap telemetry (throttle, brake, gear, speed every ten metres), fastF1 wraps the F1 live timing API[2]. The data is rich and free for non-commercial use.

For tyre allocation per circuit, Pirelli's motorsport press releases publish the compound choices a week before each race[3].

How I would build this on a website

The Ergast API is fine for static, retrospective data. For live timing during sessions, the F1 official live timing endpoint at livetiming.formula1.com streams JSON over WebSocket. There is no documentation but reverse-engineered libraries handle it.

A nice F1 data product would combine:

  • Ergast for historical context (lap records, championship standings, qualifying gaps)
  • fastF1 for telemetry overlays during a race weekend
  • F1 live timing for in-session feeds
  • Custom commentary based on real-time gap evolution

That is what F1 Tempo and similar sites do. The data is freely available; the value is in the presentation.

Watching the 2026 season

The 23 races split roughly into:

  • 4 must-watch live: Spa, Monaco, Suzuka, Silverstone
  • 8 worth watching live: Australia, Imola, Canada, Singapore, USA, Mexico, Brazil, Abu Dhabi
  • 11 record and skip the boring bits: everything else

The 2026 regulations change everything. Active aero, sustainable fuels, smaller cars. Some traditionally dull circuits (Hungary, Spain) might become exciting. Some traditionally good ones (Monaco, Singapore) might become processional if the new cars do not overtake well.

I will write a follow-up after Saudi Arabia, the season opener, with first-look data on whether the regulations have changed the racing.

References

  1. [1]

    Ergast Developer API, 2026 season circuits endpoint

    https://ergast.com/mrd/
  2. [2]

    fastF1 telemetry library, used for lap-time analysis

    https://docs.fastf1.dev
  3. [3]

    Pirelli compound allocation per circuit, 2026, Pirelli motorsport press releases

Comments

Sign in to comment, reply, and like.

By signing in, Sarma will receive your name, avatar, email, sign-in provider, and approximate location (country/city, derived from your IP) for moderation and reply purposes. None of this is shown publicly, only your name and avatar appear on the post. No newsletter, no marketing, no third-party sharing.

Loading comments…
S

Sarma

Independent software engineer, AI systems, automation platforms, and modern infrastructure.

More in F1

Work with Sarma

Have a project in mind?

I take on a small number of projects each quarter, AI systems, automation, infrastructure, and full-stack engineering.

Get in touch