Global 100
ChartFM's collective music chart
About the chart
The 100 most popular songs of the week, based on personal charts published by users. Publish your weekly chart to participate.
Picked by the community
View the Weekly Poll →Weekly poll winners: the community voted among songs nominated as Best of the Week, Flashback, Brazilian Artist of the Week and Push of the Week on personal charts.
Rankings for Week 32, 2026
"hate that i made you love me" by Ariana Grande holds the top for a 4th week on the Global 100 this week. The song scored 22,245 points, appearing on 30 charts. This week's biggest climber was "Need Your Love" by OneRepublic, which gained 68 positions and reached #20. Meanwhile, "I’m your girl right?" had the biggest drop, from #39 to #76. With the climb, "My Body Isn't Ready" enters the Top 10 for the first time. Olivia Rodrigo places 3 songs in the Top 10. In all, 29 songs debuted on the chart and 12 returned after at least one week away. 66 users published charts this week.
Frequently asked questions about the Global 100
It's ChartFM's collective chart: the most popular songs of the week, based on the personal charts published by users.
Once a week. The measured week runs Monday to Sunday and closes on Sunday at 23:59. Its ranking comes out a few days later, Wednesday at 08:00 (Brasília time), and you can still publish your chart for that week until Wednesday at 07:00 (Brasília time), one hour before. Once the ranking is out, the result is stored and does not change again, so the history of previous weeks stays exactly as it was published.
Just create a ChartFM account and publish your weekly personal chart. As soon as you submit your chart, the songs you chose are automatically included in that week's global ranking.
Yes, directly. Every chart published by a user contributes to the Global 100. The more music fans include a song in their charts, the greater its impact on the collective ranking. It's musical democracy in action.
No. ChartFM's Global 100 doesn't measure automatic plays or platform algorithms. Each entry represents a real user's deliberate, intentional choice. That makes the ranking more representative of the community's genuine musical taste.