AdriatiqueThe BPM Festival Podcast 14 - by Adriatique

    Melodic Techno · 1h 07m · analysed 21 Aug 2026

    Overall score
    86/100
    Level
    festival ready
    Duration
    1h 07m
    Genre
    Melodic Techno

    About this melodic techno set

    The BPM Festival Podcast 14 - by Adriatique is a melodic techno DJ set by Adriatique, running 1h 07m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.

    The engine files this performance as “Promising”.

    This segment demonstrates how to maintain high tension through spectral management rather than volume.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 95/100; the weakest is SURPRISE at 85/100.

    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 31 points, moving between 20 and 88 on the SOONOS energy scale — a wide dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 653.2 grid breaks per hour, with a median beat offset of 20 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This segment demonstrates how to maintain high tension through spectral management rather than volume.

    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%89
    Beat Alignmentmeasured81
    Transition Qualitymeasured87
    Phrase Accuracymeasured94
    EQ & Frequency Control (estimated)measured91
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%90
    Narrative ArcAI94
    ProgressionAI89
    Tension & ReleaseAI87
    Section AwarenessAI91
    Flow ContinuityAI95
    PayoffAI83

    ENERGY

    Did you control the room?

    20%89
    Energy Curvemeasured88
    PacingAI94
    MomentumAI90
    Peak ManagementAI86
    Energy HandoffAI89
    Fatigue ControlAI85

    SURPRISE

    Did you remain unpredictable?

    15%85
    Unexpected MomentsAI81
    ContrastAI83
    Transition Varietymeasured94
    Selection RiskAI87
    FreshnessAI80
    Surprise ControlAI81

    IDENTITY

    Did the mix sound like you?

    15%95
    Selection QualityAI92
    Identity ConsistencyAI98
    IntentionalityAI95
    ConfidenceAI93
    RestraintAI95
    SignatureAI94

    Final score capped by measured execution (-) — weighted average was 90.

    Energy arc

    0:0066:00

    Transitions analysed (6)

    5:45

    Long EQ blend with low-end swap

    A masterfully executed transition that feels like a single evolving track.

    94
    9:40

    Melodic layering and mid-range swap

    Smooth integration of vocal elements over the existing groove.

    92
    12:45

    Long EQ blend with low-end swap

    Perfectly executed transition, maintaining the hypnotic state without a ripple.

    95
    18:00

    Melodic layering and high-pass filtering

    Smooth introduction of new melodic themes while filtering out the old track.

    92
    23:45

    Long EQ blend with low-end handover

    Perfectly executed transition where the incoming bassline replaces the outgoing one without a dip in energy.

    94
    27:12

    Melodic layering and filter sweep

    Smooth integration of a new lead synth while filtering out the high-end of the previous track.

    90

    Technical subscores

    91

    EQ balance

    96

    Beat alignment

    89

    Energy control

    96

    Tempo stability

    89

    Loudness control

    95

    Musical coherence

    94

    Harmonic compatibility

    94

    Transition cleanliness

    Measured (DSP)

    20.2 ms

    Beat-grid drift (median)

    159.4 ms

    Drift p95

    3,991

    Boundaries detected

    33

    Hard cuts / h

    25

    Clipping events

    252

    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 (13:00, 19:00, 29:00, 45:00, 50:00, 57:45). Long loops kill dancefloor momentum.

    Timeline

    • 6:15Groove Lock
    • 10:20Emotional Peak
    • 15:30Groove Lock
    • 20:45Melodic Peak
    • 23:45Seamless Handoff
    • 27:12Melodic Peak

    Coaching notes

    • Continue to leverage long blends to maintain the 'one-track' feel.
    • Experiment with subtle vocal layering to add a human element.
    • Use high-pass filters to create more dramatic tension before melodic entries.
    • Continue to leverage long, harmonic blends to maintain the 'third track' effect.
    • Introduce a slightly more aggressive percussive element in the next segment to signal a shift in energy.
    • Maintain the current level of EQ precision, as it is the foundation of the mix's clarity.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Adriatique's The BPM Festival Podcast 14 - by Adriatique get?
    The BPM Festival Podcast 14 - by Adriatique scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is The BPM Festival Podcast 14 - by Adriatique?
    The analysed recording runs 1h 07m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 95/100, while SURPRISE is the lowest at 85/100.
    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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