Eva sur Seine is a collaboration between jazz singer Eva Scholten (‘86) and the Thomas Baggerman Trio consisting of Thomas Baggerman (‘88), Max Baggerman (‘90) and Breno Virícimo (‘88).
The combination of Eva’s refined voice and the gentlemen’s virtuoso gypsy jazz creates a very unique and personal sound, which is often compared to musical greats such as The Rosenberg Trio and Ella Fitzgerald. Their repertoire comprises contemporary songs, reworked pieces by Django Reinhardt, French Chansons and Jazz standards.
This young band is currently regarded as one of the best gypsy jazz acts in the Netherlands.
For chords & lyrics: visit www.SingingDjango.com
With the release of their first EP in januari 2013, the group created a buzz among jazzlovers as well as a more popminded audience. Soon noticed by programmers at home and abroad, the band has already played at festivals such as:
Festival Django Reinhardt in Samois s/ Seine FRANCE, the worlds most famous gypsy jazz festival
Breda Jazz Festival, the biggest jazzfestival in The Netherlands
Blue Balls Festival in Lucerne SWITZERLAND
Django á Liberchies, the leading Django Reinhardt festival in BELGIUM
Django Memorial Augsburg, the biggest Django Reinhardt festival in GERMANY
sun 26 aug 2018
Bergen aan Zee NL
sat 1 sep 2019
sun 25 nov 2018
Festival Django l’Hospitalet OPTION
sat 12 jan 2019
sun 17 feb 2019
Thuis aan de Amstel, 17.00 – 20.00
sun 19 may 2019
Hotel Brasserie Om de Noord, start 14.00
Eva sur Seine guarantees a swinging and versatile show enjoyed by jazz lovers as well as a pop-minded audience. The band creates a summer-like, fresh and warm sound, and the musical synergy between Eva and the band is evident from afar.
Eva Sur Seine is THE new act for your festival!
For questions, information and bookings please feel free to contact us.
Thomas Baggerman (bookings & management)
+31 6 49 67 28 41
PLEASE NOTE: In case of booking requests we kindly ask you to include the following details in your e-mail:
- nature of event (concert, corporate or private)
- date and location of event
- estimation of timeframe