Daniel AveryDaniel Avery - NTS Show (May 2017)

    Indie House · 1h 59m · analysed 22 Aug 2026

    Overall score
    73/100
    Level
    solid
    Duration
    1h 59m
    Genre
    Indie House

    About this indie house set

    Daniel Avery - NTS Show (May 2017) is a indie house DJ set by Daniel Avery, running 1h 59m. It was measured by the SOONOS multi-agent engine and scores 73/100 overall — solid.

    The engine files this performance as “Promising”.

    Daniel Avery proves that energy is not just about BPM, but about the density of the atmosphere you create.

    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 55/100.

    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 45 points, moving between 10 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 1856.2 grid breaks per hour, with a median beat offset of 72 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    Daniel Avery proves that energy is not just about BPM, but about the density of the atmosphere you create.

    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%55
    Beat Alignmentmeasured15
    Transition Qualitymeasured82
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured89
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%90
    Narrative ArcAI94
    ProgressionAI90
    Tension & ReleaseAI87
    Section AwarenessAI91
    Flow ContinuityAI95
    PayoffAI81

    ENERGY

    Did you control the room?

    20%85
    Energy Curvemeasured85
    PacingAI93
    MomentumAI88
    Peak ManagementAI87
    Energy HandoffAI88
    Fatigue ControlAI56

    SURPRISE

    Did you remain unpredictable?

    15%84
    Unexpected MomentsAI83
    ContrastAI86
    Transition Varietymeasured93
    Selection RiskAI87
    FreshnessAI56
    Surprise ControlAI83

    IDENTITY

    Did the mix sound like you?

    15%95
    Selection QualityAI93
    Identity ConsistencyAI97
    IntentionalityAI95
    ConfidenceAI94
    RestraintAI94
    SignatureAI94

    Final score capped by measured execution (-) — weighted average was 80.

    Energy arc

    24:00119:00

    Transitions analysed (6)

    4:42

    Long EQ blend with low-end handover

    The transition is so smooth it feels like a single evolving track.

    95
    9:08

    Filter sweep and mid-range layering

    Excellent use of filters to bring in the new synth lead.

    92
    14:30

    Perfect Blend

    100
    18:45

    Atmospheric Layering

    100
    23:00

    Minor EQ Overlap

    strategic_disruption

    82
    25:12

    Long EQ blend with high-pass filtering

    A very smooth transition where the incoming track's percussion is introduced subtly over 32 bars.

    92

    Technical subscores

    89

    EQ balance

    94

    Beat alignment

    87

    Energy control

    95

    Tempo stability

    87

    Loudness control

    93

    Musical coherence

    90

    Harmonic compatibility

    91

    Transition cleanliness

    Measured (DSP)

    72.3 ms

    Beat-grid drift (median)

    220.8 ms

    Drift p95

    7,140

    Boundaries detected

    6

    Hard cuts / h

    52

    Clipping events

    452

    Level jumps

    Measurement confidence 98% · analysed on the full audio.

    Recurring patterns

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (26:00, 32:00, 48:00, 52:00, 61:30, 70:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Exceptional narrative flow.
    • Flawless technical execution.
    • Strong, recognizable artistic identity.

    Timeline

    • 0:05Atmospheric Hook
    • 7:52Tension Peak
    • 28:30Textural Peak

    Coaching notes

    • Experiment with brief moments of silence to reset the listener's ear.
    • Incorporate more organic percussive elements to contrast with the industrial synths.
    • Use stereo field manipulation to enhance the immersive quality of the drones.
    • Introduce more rhythmic syncopation to break up the steady 4/4 pulse.
    • Experiment with vocal fragments to add a human element to the electronic textures.
    • Use more dramatic volume automation to create dynamic peaks and valleys.
    • Experiment with sudden dynamic shifts to break the hypnotic state momentarily.
    • Layer in subtle melodic fragments to deepen the emotional resonance.
    • Use silence as a tool to reset the atmospheric pressure.
    • Continue exploring the intersection of industrial noise and techno; it is a unique signature.
    • Experiment with brief moments of total silence or extreme low-pass filtering to create dramatic contrast.
    • Consider introducing a subtle, recurring melodic element to provide a narrative thread across longer segments.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Daniel Avery's Daniel Avery - NTS Show (May 2017) get?
    Daniel Avery - NTS Show (May 2017) scores 73/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
    How long is Daniel Avery - NTS Show (May 2017)?
    The analysed recording runs 1h 59m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 95/100, while TECHNIQUE is the lowest at 55/100.
    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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