EDP Lisbon Half Marathon 2027 is scheduled for 7 March 2027 in Lisbon, Portugal. The event is part of the SuperHalfs series and is one of the most recognisable spring half marathons in Europe.
The race is known for its point-to-point course and distinctive start across the 25 de Abril Bridge, giving runners a rare chance to cross one of Lisbon’s most famous landmarks on foot. The route then follows the Tagus River toward Belém, with the finish area near the Mosteiro dos Jerónimos.
This event is well suited to runners who want a fast international half marathon with a strong city identity, a large field and a clear place in the SuperHalfs journey. The 2027 race-day guide should be checked before final publication for updated transport, start access and timing details.
Information about this event is based on data from the official source or provided by the organizers. If you notice that the announcement is no longer relevant, please let us know.
Update Information
Reviews
There are no reviews yet.
Be the first to share your experience!
We use our own and third-party cookies to store your shopping history and to use information about products you have previously purchased to recommend other products that we think you will be of interest to you. To find out more about our cookie policy, please click on the "Learn more" button. You can accept all cookies by clicking on the "Agree" button or decline by clicking on the "Disagree" button. If a website user clicks on the "Disagree" button, the website stores technical cookies, which are necessary for the functioning of the website and the use of which does not require the user consent. Learn more
Functional
Always on
The storage or technical access is strictly necessary for the purpose of legitimate interest to allow the use of a specific service explicitly requested by the subscriber or the Internet user, or for the sole purpose of carrying out the transmission of communication over an electronic communications network.
Statistics
Storage or technical access that is used exclusively for statistical purposes.