Bart Skils — Bart_Skils_@_Fitzcarraldo_Italy_06_04_2013

In short

Bart_Skils_@_Fitzcarraldo_Italy_06_04_2013 by Bart Skils scores 85/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (90/100) and the weakest is SURPRISE (81/100).

This segment demonstrates how technical perfection serves the narrative of the dancefloor, creating a state of flow that is difficult to break.

Key takeaways

Timestamped insights

Each moment below is tagged with how it was produced: “measured” comes from the DSP pass on the audio, “listening” comes from the multi-agent listening pass.

• 5:22Measured (DSP)92/100Listen at 5:22

  A textbook hypnotic techno transition. The incoming kick is introduced so subtly that the groove never wavers.

• 9:45Measured (DSP)88/100Listen at 9:45

  Smooth energy handoff using filters to clear space for the new track's mid-range elements.

• 12:15Measured (DSP)95/100Listen at 12:15

  Textbook techno transition. The incoming kick replaces the outgoing one so smoothly it feels like a single evolving track.

• 17:20Measured (DSP)92/100Listen at 17:20

  Excellent use of layering to build energy. The transition itself acts as a buildup for the next phase of the set.

• 23:45Measured (DSP)94/100Listen at 23:45

  Perfectly executed transition where the incoming kick replaces the outgoing one without a single dB of fluctuation.

• 30:12Measured (DSP)90/100Listen at 30:12

  Smooth transition that uses the energy of the incoming track's hats to lift the energy level.

About this peak techno set

Bart_Skils_@_Fitzcarraldo_Italy_06_04_2013 is a peak techno DJ set by Bart Skils, running 2h 03m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.

The engine files this performance as “Promising”.

This segment demonstrates how technical perfection serves the narrative of the dancefloor, creating a state of flow that is difficult to break.

How the score breaks down

SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 90/100; the weakest is SURPRISE at 81/100.

Analysis coverage for this file is 100% — the share of the set the engine could measure with full confidence.

Energy and structure

The energy curve was sampled at 54 points, moving between 65 and 92 on the SOONOS energy scale — a moderate dynamic range across the set.

6 transitions were detected and scored individually.

Beat-grid measurement (DSP) reports 88.9 grid breaks per hour, with a median beat offset of 7 ms.

How this score is built

Measured layer (DSP): the audio file is analysed directly — beat grid, tempo stability, loudness and energy. These values are measurements, not opinions.

Listening layer: a multi-agent pass reads musical intent — programming, storytelling, coherence and crowd effect. This layer interprets, it does not measure.

Fusion and ceilings: the two layers are merged, and the measured layer always wins on execution. When the DSP hears an execution problem, it caps the final score even if the listening layer is positive.

Measured coverage for this file is 100% of the set.

Methodology and limitations

This report is produced automatically from the published recording. It measures what is present in the audio file: a bad source encoding, a partial upload or a heavily processed broadcast version can change the measured values. Nothing here reflects the room, the crowd or the night itself.

Questions about this analysis

What score does Bart Skils's Bart_Skils_@_Fitzcarraldo_Italy_06_04_2013 get?

Bart_Skils_@_Fitzcarraldo_Italy_06_04_2013 scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.

How long is Bart_Skils_@_Fitzcarraldo_Italy_06_04_2013?

The analysed recording runs 2h 03m.

Which part of the mix scores best?

IDENTITY is the strongest category at 90/100, while SURPRISE is the lowest at 81/100.

How is this score calculated?

SOONOS measures the audio with a DSP pass (beat grid, loudness, tempo, energy) and runs a multi-agent listening pass on top. Measured axes always override the listening layer, so an execution issue heard in the file caps the final score.