Steve Angello — Steve Angello - Tomorrowland 2013
Commercial EDM · 1h 29m · Tomorrowland · analysed 20 Aug 2026 · source: soundcloud.com
Public mix analysis — no affiliation or endorsement. This report measures a publicly available recording hosted on soundcloud.com. The scores are produced by SOONOS and do not imply any partnership with, or approval by, Steve Angello.
In short
Steve Angello - Tomorrowland 2013 by Steve Angello scores 88/100 in the SOONOS analysis (festival ready). The strongest dimension is STORYTELLING (93/100) and the weakest is SURPRISE (84/100).
Angello proves that simplicity in rhythm combined with iconic melodic hooks is the ultimate formula for stadium-scale success.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (44:00, 48:00, 55:00, 63:30, 67:00, 72:30). Long loops kill dancefloor momentum.
What to try next
- Use more subtle EQ filtering during long blends to create a more organic evolution of sound.
- Experiment with varying the length of buildups to keep the crowd guessing.
- Incorporate more 'live' elements or unique edits to further distinguish the set from a standard playlist.
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.
Intentional reset
Intentional reset
Intentional reset
About this commercial edm set
Steve Angello - Tomorrowland 2013 is a commercial edm DJ set by Steve Angello, running 1h 29m. It was measured by the SOONOS multi-agent engine and scores 88/100 overall — festival ready.
The engine files this performance as “Promising”.
Angello proves that simplicity in rhythm combined with iconic melodic hooks is the ultimate formula for stadium-scale success.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is STORYTELLING at 93/100; the weakest is SURPRISE at 84/100.
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 26 points, moving between 70 and 98 on the SOONOS energy scale — a moderate dynamic range across the set.
8 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 1140.1 grid breaks per hour, with a median beat offset of 22 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.
Full SOONOS analysis
Angello proves that simplicity in rhythm combined with iconic melodic hooks is the ultimate formula for stadium-scale success.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%87
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%93
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%89
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%84
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%93
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (8)
Perfect Energy Handoff
intentional_reset
Minor Level Jump
Perfect Blend
Strategic Drop
intentional_reset
Minor EQ Overlap
Perfect Blend
Minor EQ Overlap
intentional_reset
Seamless Handoff
Technical subscores
85
EQ balance
94
Beat alignment
91
Energy control
97
Tempo stability
87
Loudness control
89
Musical coherence
89
Harmonic compatibility
88
Transition cleanliness
Measured (DSP)
22 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
223 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
5,309
Boundaries detected
Points where the audio changes track or section.
20
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
230
Clipping events
Moments where the recording hits the ceiling and distorts.
106
Level jumps
Sudden volume steps between tracks.
Measurement confidence 99% · analysed on the full audio.
Recurring patterns
Long static loops (6×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (44:00, 48:00, 55:00, 63:30, 67:00, 72:30). Long loops kill dancefloor momentum.
Coaching notes
- Use more subtle EQ filtering during long blends to create a more organic evolution of sound.
- Experiment with varying the length of buildups to keep the crowd guessing.
- Incorporate more 'live' elements or unique edits to further distinguish the set from a standard playlist.
Curious how your own set scores?
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.
Read the full SOONOS methodology →Questions about this analysis
- What score does Steve Angello's Steve Angello - Tomorrowland 2013 get?
- Steve Angello - Tomorrowland 2013 scores 88/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is Steve Angello - Tomorrowland 2013?
- The analysed recording runs 1h 29m.
- Which part of the mix scores best?
- STORYTELLING is the strongest category at 93/100, while SURPRISE is the lowest at 84/100.
- 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.
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Test how a set like this one would land in a club, a beach club or a festival.
Get the same breakdown on your own set: transitions, energy arc and measured execution.
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