Bellini: I Puritani, Act 3: "Credeasi, misera!" (Arturo, Elvira, Giorgio, Riccardo, Coro, Bruno)

Vincenzo Bellini, Maria Callas, Angelo Mercuriali, Coro Del Teatro Alla Scala Di Milano, Giuseppe Di Stefano, Nicola Rossi-Lemeni, Rolando Panerai, Tullio Serafin, Orchestra Del Teatro Alla Scala, Milano

The song Bellini: I Puritani, Act 3: "Credeasi, misera!" (Arturo, Elvira, Giorgio, Riccardo, Coro, Bruno) by Vincenzo Bellini, Maria Callas, Angelo Mercuriali, Coro Del Teatro Alla Scala Di Milano, Giuseppe Di Stefano, Nicola Rossi-Lemeni, Rolando Panerai, Tullio Serafin, Orchestra Del Teatro Alla Scala, Milano has been played 19,791 times on Spotify since its release on May 26, 2023.

Other songs from Vincenzo Bellini, Maria Callas, Angelo Mercuriali, Coro Del Teatro Alla Scala Di Milano, Giuseppe Di Stefano, Nicola Rossi-Lemeni, Rolando Panerai, Tullio Serafin, Orchestra Del Teatro Alla Scala, Milano

Mascagni: Cavalleria rusticana: "Ah! Lo vedi, che hai tu detto?" (Turiddu, Santuzza)

Pietro Mascagni, Maria Callas, Giuseppe Di Stefano, Tullio Serafin, Orchestra Del Teatro Alla Scala, Milano
Puccini: Tosca, Act 1: "Un tal baccano in chiesa!" (Scarpia, Sagrestano, Spoletta)

Giacomo Puccini, Victor de Sabata, Angelo Mercuriali, Melchiorre Luise, Tito Gobbi, Orchestra Del Teatro Alla Scala, Milano
Puccini: Madama Butterfly, Act 1: "Bimba dagli occhi pieni di malia" (Butterfly, Pinkerton)

Giacomo Puccini, Maria Callas, Nicolai Gedda, Herbert von Karajan, Orchestra Del Teatro Alla Scala, Milano
Puccini: Manon Lescaut, Act 1: "La tua Proserpina di resisterti" (Edmondo, Des Grieux)

Giacomo Puccini, Tullio Serafin, Tullio Serafin, Dino Formichini, Dino Formichini, Giuseppe Di Stefano, Orchestra Del Teatro Alla Scala, Milano, Giuseppe Di Stefano, Orchestra Del Teatro Alla Scala, Milano
Puccini: Madama Butterfly, Act 2: "Ora a noi" (Butterfly, Sharpless)

Giacomo Puccini, Maria Callas, Mario Borriello, Herbert von Karajan, Orchestra Del Teatro Alla Scala, Milano

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.

In both situations, we're committed to continuously improving our data accuracy and are here to assist with any specific concerns you might have.
: The extent of our historical data varies depending on the track. For some tracks, our records go as far back as September 2023. However, there are tracks for which we may not have any historical data yet. But here's the good news: once you look up a specific track on our system, you activate our tracking for that track. From that point forward, we will diligently record its data daily, ensuring you have continuous and up-to-date insights from the moment you start using our service.
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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.