Boris Brejcha — Boris Brejcha @ Grand Palais for Cercle

    High Tech Minimal · 2h 17m · Cercle · analysed 19 Aug 2026 · source: soundcloud.com

    Overall score
    70/100
    Level
    solid
    Duration
    2h 17m
    Genre
    High Tech Minimal

    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 for Cercle by Boris Brejcha scores 70/100 in the SOONOS analysis (solid). The strongest dimension is IDENTITY (96/100) and the weakest is TECHNIQUE (83/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (18:00, 25:00, 31:00, 34:00, 38:00, 44:00). Long loops kill dancefloor momentum.

    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.

    • 11:45Measured (DSP)98/100Listen at 11:45

      Textbook minimal transition. The incoming track's percussion is introduced so subtly it feels like an arrangement change.

    • 16:22Measured (DSP)95/100Listen at 16:22

      Seamless energy handoff. The low-end swap is perfectly timed with the phrase, maintaining the 'rolling' momentum.

    • 20:50Measured (DSP)92/100Listen at 20:50

      High-energy transition designed for maximum impact. The use of the filter creates a vacuum that the new track fills perfectly.

    • 24:15Measured (DSP)95/100Listen at 24:15

      Perfectly executed transition, maintaining the hypnotic flow.

    • 29:15Measured (DSP)92/100Listen at 29:15

      Transparent transition that enhances the narrative arc.

    About this high tech minimal set

    Boris Brejcha @ Grand Palais for Cercle is a high tech minimal DJ set by Boris Brejcha, running 2h 17m. It was measured by the SOONOS multi-agent engine and scores 70/100 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 96/100; 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 55 points, moving between 15 and 94 on the SOONOS energy scale — a wide dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 326.6 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.

    Listen to the original set

    Full SOONOS analysis

    0

    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
    Beat Alignmentmeasured64
    Transition Qualitymeasured73
    Phrase Accuracymeasured96
    EQ & Frequency Control (estimated)measured94
    Tempo Stability (estimated)measured97
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%92
    Narrative ArcAI95
    ProgressionAI91
    Tension & ReleaseAI90
    Section AwarenessAI93
    Flow ContinuityAI95
    PayoffAI90

    ENERGY

    Did you control the room?

    20%85
    Energy Curvemeasured86
    PacingAI94
    MomentumAI94
    Peak ManagementAI91
    Energy HandoffAI90
    Fatigue ControlAI36

    SURPRISE

    Did you remain unpredictable?

    15%85
    Unexpected MomentsAI86
    ContrastAI89
    Transition Varietymeasured96
    Selection RiskAI92
    FreshnessAI38
    Surprise ControlAI86

    IDENTITY

    Did the mix sound like you?

    15%96
    Selection QualityAI95
    Identity ConsistencyAI99
    IntentionalityAI97
    ConfidenceAI97
    RestraintAI93
    SignatureAI97

    Final score capped by measured beatmatching — the weighted average before the cap was 88.

    Energy arc

    11:00135:00

    Transitions analysed (7)

    4:48

    Perfect Blend

    100
    9:12

    Harmonic Handover

    100
    11:45

    Long EQ blend with high-pass filtering

    Textbook minimal transition. The incoming track's percussion is introduced so subtly it feels like an arrangement change.

    98
    16:22

    Bass-swap on the 32nd bar

    Seamless energy handoff. The low-end swap is perfectly timed with the phrase, maintaining the 'rolling' momentum.

    95
    20:50

    Filter sweep and drop-swap

    High-energy transition designed for maximum impact. The use of the filter creates a vacuum that the new track fills perfectly.

    92
    24:15

    Long EQ blend with low-end swap on phrase.

    Perfectly executed transition, maintaining the hypnotic flow.

    95
    29:15

    Surgical EQ swap during a rhythmic breakdown.

    Transparent transition that enhances the narrative arc.

    92

    Technical subscores

    94

    EQ balance

    97

    Beat alignment

    92

    Energy control

    97

    Tempo stability

    92

    Loudness control

    94

    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.

    140 ms

    Drift p95

    Worst-case drift: 95% of the set stays tighter than this value.

    8,202

    Boundaries detected

    Points where the audio changes track or section.

    104

    Hard cuts / h

    Abrupt track changes per hour, with no blend between the two records.

    36

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    689

    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 (18:00, 25:00, 31:00, 34:00, 38:00, 44:00). Long loops kill dancefloor momentum.

    Timeline

    • 13:45Sub-Bass Isolation
    • 18:30Melodic Peak
    • 20:50Risky pressure or vibe dip
    • 27:45Melodic Peak
    Listen on SoundCloud

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    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 for Cercle get?
    Boris Brejcha @ Grand Palais for Cercle scores 70/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
    How long is Boris Brejcha @ Grand Palais for Cercle?
    The analysed recording runs 2h 17m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 96/100, 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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