The Wiwi Jury — our in-house panel of music unprofessionals — continues to rate and review the songs competing in the andra chansen round of Sweden’s Melodifestivalen 2020. Next up, we listen to returning artist Malou Prytz and her song “Ballerina”. Did the song make us want to dance? Read on to find out!
Malou Prytz with “Ballerina”
Angus: Too often we forget that Malou Prytz is sixteen. For her age she’s amazing. Vocally this is well put together and the hook becomes catchier on repeat listen. That being said, it feels as though the staging lacks energy, and only really comes alive in the drumbeat foot-stomping bridge. “Ballerina” is a catchy enough song and Malou is a competent performer. But it just feels as though they don’t necessarily belong together.
Florian: There’s a strong chord progression in “Ballerina” that really draws one into the song. Vocally, Malou’s far improved from her previous effort “I Do Me”. However, the performance came across as a bit stiff which might also explain why she wasn’t able to end up higher on the night. Personally, I’d like to see her bring the emotion across a bit further which could ultimately take her to the final.
Luis: “Ballerina” is little more than a powerful pop chorus. The verses are too weak: it feels like there’s nothing between one “When I’m alone” and the other. Luckily, that’s a great hook, but it only makes the song enjoyable for one of the three minutes. The rest passes completely unnoticed. It’s a pity because Malou Prytz is an absolute talent, but this song is below her.
Robyn: Something isn’t quite working here. “Ballerina” is a decent song, but it feels like something inspired by Sia’s “Titanium” era that has been given a modern production style (check out the Billie Eilish-inspired vocal distortion) in order to make it feel contemporary. Malou is a compelling young performer, but this song isn’t the right song for her.
In our Melodifestivalen Wiwi Jury, we have 14 jurors but only room for four reviews. The rest of our scores can be found below:
Before calculating the average score, the highest and lowest scores are dropped. This is to remove outliers and reduce potential bias. We have removed a low of 4 and a high of 9.