Earlier today, the Wiwi Jury – our in-house panel of music unprofessionals – gathered in Reykjavik to discuss the contestants participating in Söngvakeppnin 2016, the national selection for Iceland at Eurovision 2016. Today we look at Alda with her song “Moments”. Are we wanting to share a moment with Alda, or is this a moment we’d rather forget? Read on to find out…
ALDA – “MOMENTS”
Antranig: Alda’s song is very cute and makes for some very easy listening. This has shades of Anna Bergendahl but the last minute is explosive with some powerful vocals and this would be memorable in Stockholm. With the right staging and the right performance, she could win the ticket to Stockholm — this is definitely the dark horse of the competition.
Josh: Alda is serving up some Icelandic tribal realness, y’all. I’d consider this one to watch for Söngvakeppnin 2016. A memorable beat, a sweet lady singing beautifully, and some killer backing tracks make this one of the front runners for Iceland this year. Part of me doesn’t want her to win though – because I’ll have to review this again and my computer keeps autocorrecting Alda to “Aldi”. All hail the mighty German supermarket chain!
Robyn: I’ve listened to this song several times, but all I can remember about it is that it’s kind of folky and has a few of the “hey” shouts that were all over pop from 2015. I guess that’s the trouble – there’s nothing striking about this song, nothing that makes me sit up and go “wow!”.
William: Whenever I see her name I think of grocery store chains like Lidl and Asda. But the moment she opens her mouth thoughts of food disappear and she takes me to the fjords, where I feel wind blowing against my face and see beauty for days! This is gorgeous and her voice is simply heavenly. And while I love the atmosphere this creates, it doesn’t feel poppy enough for Eurovision. I’d love to hear this angel drop her talents on a club banger…
In the Icelandic jury we have seventeen jurors but only room for four reviews. The remaining thirteen scores are below!
The highest and lowest scores are dropped prior to calculating the average score. This is to remove outliers and reduce potential bias. We have removed a low of 2.5 and a high of 9.