Damian LazarusPM Scientists: DROP THE BEAT (Damian Lazarus & Zoe Richardson)

    Indie House · 1h 13m · analysed 21 Aug 2026

    Overall score
    68/100
    Level
    developing
    Duration
    1h 13m
    Genre
    Indie House

    About this indie house set

    PM Scientists: DROP THE BEAT (Damian Lazarus & Zoe Richardson) is a indie house DJ set by Damian Lazarus, running 1h 13m. It was measured by the SOONOS multi-agent engine and scores 68/100 overall — developing.

    The engine files this performance as “Promising”.

    This DJ understands that in techno, the space between the notes is as important as the kick itself.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 84/100; 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 33 points, moving between 20 and 85 on the SOONOS energy scale — a wide dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 2138.9 grid breaks per hour, with a median beat offset of 136 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This DJ understands that in techno, the space between the notes is as important as the kick itself.

    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 Qualitymeasured69
    Phrase Accuracymeasured88
    EQ & Frequency Control (estimated)measured85
    Tempo Stability (estimated)measured93
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%80
    Narrative ArcAI83
    ProgressionAI78
    Tension & ReleaseAI75
    Section AwarenessAI80
    Flow ContinuityAI87
    PayoffAI76

    ENERGY

    Did you control the room?

    20%78
    Energy Curvemeasured74
    PacingAI80
    MomentumAI87
    Peak ManagementAI73
    Energy HandoffAI79
    Fatigue ControlAI69

    SURPRISE

    Did you remain unpredictable?

    15%75
    Unexpected MomentsAI71
    ContrastAI79
    Transition Varietymeasured88
    Selection RiskAI72
    FreshnessAI64
    Surprise ControlAI71

    IDENTITY

    Did the mix sound like you?

    15%84
    Selection QualityAI80
    Identity ConsistencyAI92
    IntentionalityAI84
    ConfidenceAI84
    RestraintAI84
    SignatureAI74

    Final score capped by measured execution (-) — weighted average was 73.

    Energy arc

    00:0072:30

    Transitions analysed (7)

    03:58

    Atmospheric crossfade into rhythmic foundation

    Perfectly timed entry of the kick drum following the 'World Eclipse' vocal peak.

    92
    07:45

    Layered percussion blend

    Smooth introduction of breakbeat elements over the existing techno pulse.

    88
    13:15

    Long EQ blend with low-end swap on phrase.

    Flawless execution, energy is perfectly preserved.

    92
    17:20

    Additive layering transition.

    Smooth introduction of new elements, building tension effectively.

    85
    21:50

    Filter sweep and drop swap.

    High-impact transition that successfully shifts the energy to a peak state.

    88
    25:12

    Long EQ blend with low-end swap

    Flawless transition, the new kick drum enters with perfect phase alignment.

    92
    30:15

    Melodic layering and high-pass filter sweep

    Smooth transition into a more melodic section, though a slight mid-range build-up is audible.

    85

    Technical subscores

    85

    EQ balance

    91

    Beat alignment

    81

    Energy control

    93

    Tempo stability

    83

    Loudness control

    85

    Musical coherence

    86

    Harmonic compatibility

    89

    Transition cleanliness

    Measured (DSP)

    135.6 ms

    Beat-grid drift (median)

    217.2 ms

    Drift p95

    4,335

    Boundaries detected

    94

    Hard cuts / h

    297

    Clipping events

    786

    Level jumps

    Measurement confidence 99% · analysed on the full audio.

    Recurring patterns

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (8:00, 36:00, 44:45, 58:00, 60:00, 66:00). Long loops kill dancefloor momentum.

    Timeline

    • 00:00Spiritual Prologue
    • 03:58The First Drop
    • 09:15Atmospheric Plateau
    • 15:45Groove Lock
    • 19:30Energy Plateau
    • 29:45Vocal Hook Entry

    Coaching notes

    • Incorporate more melodic themes to add emotional depth to the driving rhythms.
    • Use more dramatic breakdowns to create moments of relief and enhance the impact of drops.
    • Experiment with more varied transition techniques to showcase creative range.
    • Ensure that long hypnotic passages have subtle internal evolution to prevent monotony.
    • Incorporate more melodic counterpoints to the percussion.
    • Experiment with longer, more dramatic filter sweeps during transitions.
    • Extend the final outro to allow the energy to dissipate more naturally.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Damian Lazarus's PM Scientists: DROP THE BEAT (Damian Lazarus & Zoe Richardson) get?
    PM Scientists: DROP THE BEAT (Damian Lazarus & Zoe Richardson) scores 68/100 in the SOONOS Mix Database (developing), based on audio measurement plus multi-agent listening.
    How long is PM Scientists: DROP THE BEAT (Damian Lazarus & Zoe Richardson)?
    The analysed recording runs 1h 13m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 84/100, 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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