Thievery Corporation BIO
Thievery Corporation is the Washington, D.C.–based electronic music duo of Rob Garza and Eric Hilton, known for blending downtempo, dub, trip-hop, reggae, and international influences. Their layered studio sound has made them a distinctive presence in electronic music, with albums including The Mirror Conspiracy and The Richest Man in Babylon.
The duo's catalog features recognizable tracks such as “Lebanese Blonde” and “Until the Morning.” Their music draws on a wide range of vocal styles and global rhythms, creating a live experience that moves between atmospheric passages and dance-oriented grooves. The Orlando listing names the event Thievery Corporation and gives its date as June 22, 2025, at The Plaza Live.
The supplied event information does not establish the duo's previous dates at this venue or provide details about earlier Orlando performances, so no venue-specific performance history can be confirmed here. For Orlando listeners exploring Concerts and Techno / electronic, ticketsorlando.net provides a guide to the listed event.
Venue and Seating Information
The Plaza Live is the named venue for the Orlando event. Seating layouts and available configurations can vary by performance, and the supplied listing does not specify the setup for this date. Review the event's ticket options and the venue's current seating plan before choosing seats.
There is no verified seating feedback or section-by-section guidance in the supplied information. Comparing the view, distance from the stage, and ticket details shown for the event is a practical way to select seats that suit your preferences.
Parking Information
Parking locations, prices, and availability for this event are not included in the supplied listing. Check current local parking information before traveling, and allow extra time to find a space near the venue.
As parking arrangements may change, confirm any lot's address, rates, payment methods, and event-day restrictions directly with its operator. No specific parking option can be identified as the best or avoided based on the information provided.