Kevin de Vries — Kevin de Vries WE1 ｜ Tomorrowland 2024
Melodic Techno · 1h 32m · Tomorrowland · analysed 23 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, Kevin de Vries.
In short
Kevin de Vries WE1 ｜ Tomorrowland 2024 by Kevin de Vries scores 73/100 in the SOONOS analysis (solid). The strongest dimension is IDENTITY (93/100) and the weakest is TECHNIQUE (79/100).
The engine files this performance as “Promising”.
Key takeaways
What weakened the set
- Long static loops (5×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (31:00, 57:00, 61:00, 65:00, 80:00). Long loops kill dancefloor momentum.
What to try next
- Utilize more dramatic filter sweeps during transitions to enhance the sense of movement.
- Experiment with layering vocal snippets to add a human element to the industrial textures.
- Consider a 'fake-out' drop to surprise the audience and break the linear energy build.
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.
Perfect transition from the atmospheric intro into the first rhythmic track. The low-end handover is imperceptible.
Smooth transition that maintains the driving energy while introducing a new melodic theme.
Perfectly executed transition that maintains the driving momentum without a hint of phase drift.
Smooth introduction of new melodic elements while keeping the sub-bass locked.
High-impact transition designed for the festival stage; energy handoff is seamless.
Seamless integration of the incoming kick; the transition is almost imperceptible.
High-impact transition that resets the energy and introduces a new melodic theme.
About this melodic techno set
Kevin de Vries WE1 ｜ Tomorrowland 2024 is a melodic techno DJ set by Kevin de Vries, running 1h 32m. It was measured by the SOONOS multi-agent engine and scores 73/100 overall — solid.
The engine files this performance as “Promising”.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 93/100; the weakest is TECHNIQUE at 79/100.
The final score is capped by measured beatmatching: the DSP layer overrides the listening layer whenever it measures an execution issue directly in the audio.
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 31 points, moving between 20 and 96 on the SOONOS energy scale — a wide dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 634.6 grid breaks per hour, with a median beat offset of 28 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.
On this set, the ceiling applied is measured beatmatching.
Measured coverage for this file is 100% of the set.
Full SOONOS analysis
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%79
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%92
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%88
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?
Final score capped by measured beatmatching — the weighted average before the cap was 87.
Energy arc
Transitions analysed (7)
Long EQ blend with low-end swap
Perfect transition from the atmospheric intro into the first rhythmic track. The low-end handover is imperceptible.
Progressive layering and high-pass filter swap
Smooth transition that maintains the driving energy while introducing a new melodic theme.
Long EQ blend with low-end swap
Perfectly executed transition that maintains the driving momentum without a hint of phase drift.
Phased layering with high-pass filter sweep
Smooth introduction of new melodic elements while keeping the sub-bass locked.
Drop swap on the phrase
High-impact transition designed for the festival stage; energy handoff is seamless.
Long EQ blend with low-end swap
Seamless integration of the incoming kick; the transition is almost imperceptible.
Drop swap after short breakdown
High-impact transition that resets the energy and introduces a new melodic theme.
Technical subscores
89
EQ balance
96
Beat alignment
92
Energy control
97
Tempo stability
90
Loudness control
91
Musical coherence
91
Harmonic compatibility
91
Transition cleanliness
Measured (DSP)
28 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
200 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
5,492
Boundaries detected
Points where the audio changes track or section.
163
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
39
Clipping events
Moments where the recording hits the ceiling and distorts.
274
Level jumps
Sudden volume steps between tracks.
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Long static loops (5×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (31:00, 57:00, 61:00, 65:00, 80:00). Long loops kill dancefloor momentum.
Timeline
- 0:00Cinematic Opening
- 6:12First Energy Peak
- 15:45Melodic Hook Entry
- 19:30Tension Peak
- 28:15Tension Peak
Coaching notes
- Utilize more dramatic filter sweeps during transitions to enhance the sense of movement.
- Experiment with layering vocal snippets to add a human element to the industrial textures.
- Consider a 'fake-out' drop to surprise the audience and break the linear energy build.
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 Kevin de Vries's Kevin de Vries WE1 ｜ Tomorrowland 2024 get?
- Kevin de Vries WE1 ｜ Tomorrowland 2024 scores 73/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
- How long is Kevin de Vries WE1 ｜ Tomorrowland 2024?
- The analysed recording runs 1h 32m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 93/100, while TECHNIQUE is the lowest at 79/100.
- 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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