I love your site and use it a lot — thank you for the excellent work. I have two feature suggestions that would make ranking and analysis much more useful for me.
1. Group different versions of the same song
In the official German charts, instrumentals, video versions, extended cuts, live versions and some remixes of the same track are aggregated. It would be very helpful to have an option to do the same on stats.fm — for example a toggle or view mode where you can choose to sort by “Song” (grouping all versions together) or by “Single” (keeping releases separate). This would let users see true per-song stats without duplicates from multiple versions.
2. Use total listening time as a tie-breaker when sorting by clicks
When I sort my library by clicks, many tracks often have exactly the same click count and are then ordered randomly. Please consider using total listening time (playtime) as the automatic tie-breaker in those cases — e.g., if two tracks each have 34 clicks, the track with 108 minutes total playtime should appear before the one with 97 minutes. That would make ranking by clicks far more meaningful.
Wishing you a peaceful and merry Christmas — and many thanks again for your great app.
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Comments1
Lukas Koller
Dec 15, 2025
Dear stats.fm team,
I love your site and use it a lot — thank you for the excellent work. I have two feature suggestions that would make ranking and analysis much more useful for me.
1. Group different versions of the same song
In the official German charts, instrumentals, video versions, extended cuts, live versions and some remixes of the same track are aggregated. It would be very helpful to have an option to do the same on stats.fm — for example a toggle or view mode where you can choose to sort by “Song” (grouping all versions together) or by “Single” (keeping releases separate). This would let users see true per-song stats without duplicates from multiple versions.
2. Use total listening time as a tie-breaker when sorting by clicks
When I sort my library by clicks, many tracks often have exactly the same click count and are then ordered randomly. Please consider using total listening time (playtime) as the automatic tie-breaker in those cases — e.g., if two tracks each have 34 clicks, the track with 108 minutes total playtime should appear before the one with 97 minutes. That would make ranking by clicks far more meaningful.
Wishing you a peaceful and merry Christmas — and many thanks again for your great app.
Kind regards,
Lukas Koller