Doc Martin — Doc Martin - DISTRIKT Sound - Burning Man 2019
House · 2h 19m · Burning MAN · analysed 22 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, Doc Martin.
In short
Doc Martin - DISTRIKT Sound - Burning Man 2019 by Doc Martin scores 86/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (94/100) and the weakest is SURPRISE (84/100).
True mastery is found in the transitions you don't notice.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (14:30, 29:00, 33:00, 38:00, 58:00, 64:00). Long loops kill dancefloor momentum.
What to try next
- Continue to master the art of the long blend, as it is a core strength of your style.
- Experiment with very subtle melodic shifts to add another layer of narrative depth.
- Maintain the high level of technical precision shown in this segment.
- Experiment with wider stereo imaging during transitions to enhance the sense of space.
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.
A masterclass in transparency; the transition is felt rather than heard.
Perfectly timed bass handover that maintains the dancefloor momentum.
Seamless transition where the new kick takes over without any phase issues.
Smooth transition focusing on percussive textures.
About this house set
Doc Martin - DISTRIKT Sound - Burning Man 2019 is a house DJ set by Doc Martin, running 2h 19m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.
The engine files this performance as “Promising”.
True mastery is found in the transitions you don't notice.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 94/100; 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 66 points, moving between 10 and 92 on the SOONOS energy scale — a wide dynamic range across the set.
6 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 138.3 grid breaks per hour, with a median beat offset of 26 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
True mastery is found in the transitions you don't notice.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%86
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%89
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%87
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%94
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (6)
64-bar EQ blend
A masterclass in transparency; the transition is felt rather than heard.
Low-end swap on phrase
Perfectly timed bass handover that maintains the dancefloor momentum.
Perfect Blend
Invisible Handover
Long EQ blend with low-end swap
Seamless transition where the new kick takes over without any phase issues.
Mid-range layering and filter fade
Smooth transition focusing on percussive textures.
Technical subscores
88
EQ balance
94
Beat alignment
88
Energy control
94
Tempo stability
87
Loudness control
91
Musical coherence
89
Harmonic compatibility
90
Transition cleanliness
Measured (DSP)
26 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
37 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
8,328
Boundaries detected
Points where the audio changes track or section.
54
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
134
Clipping events
Moments where the recording hits the ceiling and distorts.
221
Level jumps
Sudden volume steps between tracks.
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 (14:30, 29:00, 33:00, 38:00, 58:00, 64:00). Long loops kill dancefloor momentum.
Timeline
- 0:00Atmospheric Intro
- 6:30Groove Lock
- 26:15Groove Lock
Coaching notes
- Continue to master the art of the long blend, as it is a core strength of your style.
- Experiment with very subtle melodic shifts to add another layer of narrative depth.
- Maintain the high level of technical precision shown in this segment.
- Experiment with wider stereo imaging during transitions to enhance the sense of space.
- Use brief rhythmic silences (1/2 bar) to reset the listener's ear before a new track enters.
- Incorporate more mid-range frequency variation to avoid a 'flat' sonic profile over long periods.
- Continue to trust the long-form blends; they are your greatest technical asset.
- Experiment with very subtle high-pass filter sweeps during the middle of tracks to maintain ear freshness.
- Consider a slightly more dramatic melodic element towards the very end of the set to provide a final emotional payoff.
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 Doc Martin's Doc Martin - DISTRIKT Sound - Burning Man 2019 get?
- Doc Martin - DISTRIKT Sound - Burning Man 2019 scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is Doc Martin - DISTRIKT Sound - Burning Man 2019?
- The analysed recording runs 2h 19m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 94/100, 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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