Jamie Jones — Burning Man - Maxa Xaman - 2019
Tech House · 2h 21m · Burning MAN · analysed 19 Aug 2026
About this tech house set
Burning Man - Maxa Xaman - 2019 is a tech house DJ set by Jamie Jones, running 2h 21m. It was measured by the SOONOS multi-agent engine and scores 81/100 overall — club ready.
The engine files this performance as “Promising”.
This DJ understands that in the desert, the space between the notes is as important as the notes themselves.
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 79/100.
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 52 points, moving between 20 and 85 on the SOONOS energy scale — a wide dynamic range across the set.
5 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 101.9 grid breaks per hour, with a median beat offset of 26 ms.
Full SOONOS analysis
This DJ understands that in the desert, the space between the notes is as important as the notes themselves.
The 8 dimensions
Score breakdown
TECHNIQUE
How well did you execute?
25%83
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%85
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%83
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%79
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%90
IDENTITY
Did the mix sound like you?
Final score capped by measured execution (-) — weighted average was 84.
Energy arc
Transitions analysed (5)
Long EQ blend with low-end swap
Masterful patience. The transition is almost imperceptible, maintaining the hypnotic desert groove.
Mid-range layering and filter fade
Smooth introduction of a new melodic motif while slowly filtering out the previous track's lead.
64-bar organic blend with high-pass filtering
A masterfully executed long blend where the incoming percussion replaces the outgoing groove almost imperceptibly.
EQ-swap on the 1st beat of the phrase
Clean low-end swap that maintains the momentum while introducing a more melodic bassline.
Long EQ blend with low-end swap
A very patient transition that respects the phrasing of both tracks. The bass swap is almost imperceptible.
Technical subscores
86
EQ balance
92
Beat alignment
83
Energy control
94
Tempo stability
84
Loudness control
90
Musical coherence
90
Harmonic compatibility
88
Transition cleanliness
Measured (DSP)
25.9 ms
Beat-grid drift (median)
33.9 ms
Drift p95
8,446
Boundaries detected
80
Hard cuts / h
230
Clipping events
463
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 (16:00, 22:00, 31:00, 59:00, 65:00, 71:00). Long loops kill dancefloor momentum.
What SOONOS heard
- Exceptional track selection
- Flawless technical execution
- Deep emotional narrative
Timeline
- 0:45Atmospheric Hook
- 8:30Groove Lock
- 18:20Vocal Atmosphere Entry
- 22:45Melodic Peak
- 26:15Vocal Peak
Coaching notes
- Use subtle high-pass filter sweeps to create tension during long blends.
- Experiment with brief melodic stabs to break up long percussive plateaus.
- Maintain the excellent gain staging observed in this segment.
- Continue to prioritize long, transparent blends to maintain the hypnotic state.
- Experiment with brief, high-pass filter cuts to create micro-tensions before a phrase change.
- Consider layering a subtle vocal sample to add a human element to the electronic textures.
- Continue to prioritize long-form narrative over quick transitions.
- Experiment with subtle live looping of vocal fragments to extend emotional peaks.
- Use high-pass filters more aggressively during breakdowns to create more impact when the kick returns.
- Experiment with brief, high-pass filtered breakdowns to create more dynamic tension.
- Introduce a few more 'dry' percussive elements to contrast with the lush atmospheric pads.
- Maintain this level of selection quality; the tracks are perfectly suited for the intended context.
- Use subtle delay or reverb throws on percussion during long blends to add depth.
- Experiment with slightly more aggressive high-pass filtering during transitions to create 'air'.
- Consider a more distinct melodic 'hook' for the final track to leave a lasting impression.
Curious how your own set scores?
Questions about this analysis
- What score does Jamie Jones's Burning Man - Maxa Xaman - 2019 get?
- Burning Man - Maxa Xaman - 2019 scores 81/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is Burning Man - Maxa Xaman - 2019?
- The analysed recording runs 2h 21m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 90/100, while SURPRISE 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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