Jan Blomqvist — Jan Blomqvist (live) - Mayan Warrior - Burning Man 2019
Melodic Techno · 1h 34m · Burning MAN · analysed 23 Aug 2026
About this melodic techno set
Jan Blomqvist (live) - Mayan Warrior - Burning Man 2019 is a melodic techno DJ set by Jan Blomqvist, running 1h 34m. It was measured by the SOONOS multi-agent engine and scores 88/100 overall — festival ready.
The engine files this performance as “Promising”.
Jan Blomqvist's ability to humanize electronic music through live vocals creates a unique and powerful festival experience.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 96/100; the weakest is TECHNIQUE at 84/100.
The final score is capped by measured -: 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 33 points, moving between 20 and 92 on the SOONOS energy scale — a wide dynamic range across the set.
3 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 1022.3 grid breaks per hour, with a median beat offset of 26 ms.
Full SOONOS analysis
Jan Blomqvist's ability to humanize electronic music through live vocals creates a unique and powerful festival experience.
The 8 dimensions
Score breakdown
TECHNIQUE
How well did you execute?
25%84
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%89
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%85
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%96
IDENTITY
Did the mix sound like you?
Final score capped by measured execution (-) — weighted average was 89.
Energy arc
Transitions analysed (3)
Long EQ blend with atmospheric fade-out
Perfectly timed introduction of the kick drum following the ambient intro.
Long melodic blend with stem layering
Flawless handover of percussive elements while maintaining vocal continuity.
Vocal layering over melodic breakdown
Perfectly timed entry of the main vocal theme, elevating the energy.
Technical subscores
87
EQ balance
94
Beat alignment
87
Energy control
95
Tempo stability
85
Loudness control
94
Musical coherence
96
Harmonic compatibility
89
Transition cleanliness
Measured (DSP)
25.8 ms
Beat-grid drift (median)
259.2 ms
Drift p95
5,632
Boundaries detected
31
Hard cuts / h
157
Clipping events
349
Level jumps
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Long static loops (6×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (31:30, 47:00, 53:00, 59:00, 63:00, 67:00). Long loops kill dancefloor momentum.
What SOONOS heard
- Exceptional emotional narrative
- Seamless live vocal integration
- Sophisticated tension management
Timeline
- 5:45Vocal Peak
- 0:30Atmospheric Immersion
- 21:15Vocal Climax
- 27:50Vocal Climax
Coaching notes
- Continue exploring the integration of live instrumentation to further distinguish the artistic signature.
- Experiment with slightly longer ambient transitions to enhance the cinematic quality of the set.
- Maintain the high level of harmonic precision, which is a key strength of this performance.
Curious how your own set scores?
Questions about this analysis
- What score does Jan Blomqvist's Jan Blomqvist (live) - Mayan Warrior - Burning Man 2019 get?
- Jan Blomqvist (live) - Mayan Warrior - Burning Man 2019 scores 88/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is Jan Blomqvist (live) - Mayan Warrior - Burning Man 2019?
- The analysed recording runs 1h 34m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 96/100, while TECHNIQUE 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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