Marco CarolaLive at BPM Festival - January 10 2016

    Tech House · 1h 41m · analysed 18 Aug 2026

    Overall score
    79/100
    Level
    club ready
    Duration
    1h 41m
    Genre
    Tech House

    About this tech house set

    Live at BPM Festival - January 10 2016 is a tech house DJ set by Marco Carola, running 1h 41m. It was measured by the SOONOS multi-agent engine and scores 79/100 overall — club ready.

    The engine files this performance as “Promising”.

    This segment demonstrates the power of a well-maintained percussive groove in a festival setting.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 88/100; the weakest is SURPRISE at 76/100.

    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 47 points, moving between 60 and 94 on the SOONOS energy scale — a moderate dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 99.0 grid breaks per hour, with a median beat offset of 13 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This segment demonstrates the power of a well-maintained percussive groove in a festival setting.

    The 8 dimensions

    Technical precision0
    Track selection0
    Energy arc0
    Crowd control0
    Harmonic depth0
    Groove patience0
    Creativity0
    Signature0

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%88
    Beat Alignmentmeasured90
    Transition Qualitymeasured82
    Phrase Accuracymeasured92
    EQ & Frequency Control (estimated)measured88
    Tempo Stability (estimated)measured94
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%85
    Narrative ArcAI87
    ProgressionAI84
    Tension & ReleaseAI79
    Section AwarenessAI85
    Flow ContinuityAI92
    PayoffAI82

    ENERGY

    Did you control the room?

    20%81
    Energy Curvemeasured75
    PacingAI86
    MomentumAI92
    Peak ManagementAI81
    Energy HandoffAI86
    Fatigue ControlAI57

    SURPRISE

    Did you remain unpredictable?

    15%76
    Unexpected MomentsAI75
    ContrastAI74
    Transition Varietymeasured89
    Selection RiskAI76
    FreshnessAI53
    Surprise ControlAI75

    IDENTITY

    Did the mix sound like you?

    15%88
    Selection QualityAI85
    Identity ConsistencyAI95
    IntentionalityAI89
    ConfidenceAI90
    RestraintAI87
    SignatureAI80

    Final score capped by measured execution (-) — weighted average was 84.

    Energy arc

    0:00100:00

    Transitions analysed (7)

    4:48

    Long EQ blend with low-end swap

    Excellent patience. The transition is almost invisible, maintaining the tribal groove perfectly.

    92
    9:12

    Mid-range layering and filter fade

    Smooth transition into a track with more drive. Phrasing is spot on.

    85
    11:45

    Long EQ blend with low-end swap

    Perfectly executed transition; the incoming bassline takes over without any audible dip in energy.

    92
    16:20

    Mid-range layering and filter sweep

    Smooth integration of new percussive elements. The transition is felt more than heard.

    85
    20:45

    Quick swap on the drop

    High-impact transition that refreshes the groove just as the previous track was becoming stagnant.

    88
    24:15

    Long EQ blend with percussive layering

    A masterfully executed transition where the incoming tribal percussion perfectly complements the outgoing groove.

    96
    29:40

    Bass swap on the 32nd bar

    Clean low-end handover that maintains the dancefloor momentum without any audible dip in energy.

    92

    Technical subscores

    88

    EQ balance

    94

    Beat alignment

    87

    Energy control

    94

    Tempo stability

    87

    Loudness control

    89

    Musical coherence

    86

    Harmonic compatibility

    90

    Transition cleanliness

    Measured (DSP)

    13.4 ms

    Beat-grid drift (median)

    28.7 ms

    Drift p95

    6,039

    Boundaries detected

    74

    Hard cuts / h

    75

    Clipping events

    215

    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 (0:00, 22:00, 30:00, 45:00, 75:00, 90:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:01Atmospheric Opening
    • 6:45Groove Lock-in
    • 13:45Groove Lock Peak
    • 18:30Energy Plateau
    • 26:50Groove Lock Peak

    Coaching notes

    • Experiment with longer breakdowns to build more tension.
    • Incorporate more varied mid-range elements to add texture.
    • Try a few 'hard cuts' to create dynamic shifts in energy.
    • Introduce more melodic or vocal hooks to create memorable 'peaks' in the set.
    • Use longer filter sweeps and FX to build more tension before major transitions.
    • Vary the percussion density more frequently to avoid energy plateaus.
    • Ensure level matching is precise during quick swaps to avoid audible volume dips.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Marco Carola's Live at BPM Festival - January 10 2016 get?
    Live at BPM Festival - January 10 2016 scores 79/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is Live at BPM Festival - January 10 2016?
    The analysed recording runs 1h 41m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 88/100, while SURPRISE is the lowest at 76/100.
    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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