MOMA - Slowed

Sxbra, Launch13, Rodricci

Other songs from Sxbra, Launch13, Rodricci

Sequencia Real and Fake - Ultra Speed Up

DJZRX, Launch13, Rodricci
So Toca Toca - Slowed

Rodricci, PxycxZ, Launch13
Destruição de tudo - Ultra Slowed

Habentub, viralune, Launch13, Rodricci
Louca Encubada

Dj Samir, Rodricci, Launch13, Deusas do Funk
X-BACHI

MRR, SEKIMANE, Launch13, AIGXL, Rodricci

Frequently asked questions

: Due to Spotify's policy of not publicly sharing daily stream counts, our system independently records this data on a daily basis for millions of tracks. Given the vast number of tracks we monitor, there may be occasions where certain tracks are not processed on specific days, leading to missing data points. Rest assured, we continuously work to minimize these gaps and provide comprehensive coverage.
: There are two primary reasons you might notice irregularities in the data points:

- Inconsistent Stream Counts for a Day: Sometimes, a data point may represent the stream count for two days instead of one. This inconsistency arises because Spotify does not update its public stream count at a fixed time daily. If our data recording aligns with these fluctuations, it can lead to inaccuracies.
- Anomalous Data Points (including negative streams): On occasion, you might observe highly irregular data points, such as negative daily streams. These are typically the result of metadata discrepancies on Spotify's end, like different tracks sharing the same International Standard Recording Code (ISRC). In such cases, reaching out to us can be very helpful. We can often disregard these erroneous data points to present a more accurate graph.

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: This occurs due to Spotify's policy of only displaying public stream counts for tracks that have surpassed 1,000 streams. Consequently, if you see a stream count marked as 0 in our system, it indicates that the total stream count for that track is currently below 1,000. As the track accumulates more streams and crosses this threshold, the accurate stream count will start being reflected in our data.