Boris Brejcha — Boris Brejcha Grand Palais In Paris
High Tech Minimal · 2h 14m · analysed 19 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, Boris Brejcha.
In short
Boris Brejcha Grand Palais In Paris by Boris Brejcha scores 70/100 in the SOONOS analysis (solid). The strongest dimension is IDENTITY (95/100) and the weakest is TECHNIQUE (83/100).
The DJ treats the mix as a single, evolving instrument rather than a series of tracks.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (6:00, 13:00, 33:00, 37:00, 47:30, 52:30). Long loops kill dancefloor momentum.
What to try next
- Experiment with a live-remixing element to add more unpredictability.
- Use more extreme stereo-field automation during transitions.
- Consider a 'brutal' cut-in to break the long-blend pattern once per set.
- Maintain the current level of technical precision; it is world-class.
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 masterfully executed transition where the incoming track's percussive elements are introduced so subtly they feel like an evolution of the first track.
Clean handover of the low-end frequencies exactly on the 32nd bar. The energy remains perfectly flat in a professional way.
Flawless transition that maintains the groove perfectly.
Smooth transition using high-pass filtering to clear space for the new track.
High-impact transition that maximizes energy through a well-timed release.
Intentional reset
About this high tech minimal set
Boris Brejcha Grand Palais In Paris is a high tech minimal DJ set by Boris Brejcha, running 2h 14m. It was measured by the SOONOS multi-agent engine and scores 70/100 overall — solid.
The engine files this performance as “Promising”.
The DJ treats the mix as a single, evolving instrument rather than a series of tracks.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 95/100; the weakest is TECHNIQUE at 83/100.
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 54 points, moving between 5 and 95 on the SOONOS energy scale — a wide dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 281.8 grid breaks per hour, with a median beat offset of 29 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 DJ treats the mix as a single, evolving instrument rather than a series of tracks.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%83
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%90
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%86
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%95
IDENTITY
Did the mix sound like you?
Final score capped by measured beatmatching — the weighted average before the cap was 89.
Energy arc
Transitions analysed (7)
64-bar additive EQ blend
A masterfully executed transition where the incoming track's percussive elements are introduced so subtly they feel like an evolution of the first track.
Subtractive EQ swap on phrase
Clean handover of the low-end frequencies exactly on the 32nd bar. The energy remains perfectly flat in a professional way.
Long EQ blend with percussive alignment
Flawless transition that maintains the groove perfectly.
Filter sweep and bass swap
Smooth transition using high-pass filtering to clear space for the new track.
Breakdown into drop with stem layering
High-impact transition that maximizes energy through a well-timed release.
Perfect Blend
Minor EQ Overlap
intentional_reset
Technical subscores
92
EQ balance
97
Beat alignment
90
Energy control
97
Tempo stability
91
Loudness control
95
Musical coherence
93
Harmonic compatibility
94
Transition cleanliness
Measured (DSP)
29 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
122 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
8,010
Boundaries detected
Points where the audio changes track or section.
107
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
73
Clipping events
Moments where the recording hits the ceiling and distorts.
678
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 (6:00, 13:00, 33:00, 37:00, 47:30, 52:30). Long loops kill dancefloor momentum.
Timeline
- 0:00Cinematic Intro
- 4:20Groove Lock
- 8:30Melodic Peak
- 12:45Groove Lock
- 18:15Tension Peak
- 20:05Energy Release
- 20:10Risky pressure or vibe dip
Coaching notes
- Experiment with a live-remixing element to add more unpredictability.
- Use more extreme stereo-field automation during transitions.
- Consider a 'brutal' cut-in to break the long-blend pattern once per set.
- Maintain the current level of technical precision; it is world-class.
- Explore slightly more aggressive EQ filtering during builds to increase tension.
- Consider a 'reset' moment with no beat to maximize the impact of the next drop.
- Continue to leverage long, evolving blends to maintain the hypnotic state.
- Experiment with more dramatic filter work during breakdowns to further heighten tension.
- Consider introducing a 'wildcard' track that breaks the sonic palette slightly to surprise the audience.
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 Boris Brejcha's Boris Brejcha Grand Palais In Paris get?
- Boris Brejcha Grand Palais In Paris scores 70/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
- How long is Boris Brejcha Grand Palais In Paris?
- The analysed recording runs 2h 14m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 95/100, while TECHNIQUE is the lowest at 83/100.
- 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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