Damian LazarusLazpod 31

    Indie House · 2h 04m · analysed 21 Aug 2026

    Overall score
    72/100
    Level
    solid
    Duration
    2h 04m
    Genre
    Indie House

    About this indie house set

    Lazpod 31 is a indie house DJ set by Damian Lazarus, running 2h 04m. It was measured by the SOONOS multi-agent engine and scores 72/100 overall — solid.

    The engine files this performance as “Promising”.

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

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 85/100; the weakest is SURPRISE at 77/100.

    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 20 and 88 on the SOONOS energy scale — a wide dynamic range across the set.

    4 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 558.2 grid breaks per hour, with a median beat offset of 21 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 drum.

    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%84
    Beat Alignmentmeasured80
    Transition Qualitymeasured87
    Phrase Accuracymeasured87
    EQ & Frequency Control (estimated)measured84
    Tempo Stability (estimated)measured90
    Technical Cleanlinessmeasured75

    STORYTELLING

    Did the mix go somewhere?

    25%80
    Narrative ArcAI83
    ProgressionAI80
    Tension & ReleaseAI76
    Section AwarenessAI83
    Flow ContinuityAI85
    PayoffAI74

    ENERGY

    Did you control the room?

    20%80
    Energy Curvemeasured79
    PacingAI83
    MomentumAI83
    Peak ManagementAI78
    Energy HandoffAI79
    Fatigue ControlAI70

    SURPRISE

    Did you remain unpredictable?

    15%77
    Unexpected MomentsAI73
    ContrastAI79
    Transition Varietymeasured86
    Selection RiskAI76
    FreshnessAI65
    Surprise ControlAI73

    IDENTITY

    Did the mix sound like you?

    15%85
    Selection QualityAI84
    Identity ConsistencyAI88
    IntentionalityAI84
    ConfidenceAI84
    RestraintAI85
    SignatureAI79

    Final score capped by measured execution (-) — weighted average was 81.

    Energy arc

    0:00123:00

    Transitions analysed (4)

    2:15

    Atmospheric crossfade into percussive loop

    Perfectly executed transition from spoken intro to the main groove.

    95
    14:45

    Long EQ blend with low-end swap

    Very smooth transition, the groove remains uninterrupted as the new bassline takes over.

    85
    19:12

    Mid-range layering and filter sweep

    Effective use of filtering to bring in the new track's lead elements.

    78
    25:12

    32-bar EQ blend, low swap on phrase

    Smooth low handover on the downbeat, no flam, energy preserved.

    88

    Technical subscores

    84

    EQ balance

    90

    Beat alignment

    80

    Energy control

    90

    Tempo stability

    82

    Loudness control

    84

    Musical coherence

    82

    Harmonic compatibility

    87

    Transition cleanliness

    Measured (DSP)

    21.3 ms

    Beat-grid drift (median)

    153.5 ms

    Drift p95

    7,431

    Boundaries detected

    32

    Hard cuts / h

    54

    Clipping events

    844

    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 (5:00, 34:00, 40:00, 58:00, 62:00, 70:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Technical precision
    • Groove continuity
    • Atmospheric consistency
    • Emotional storytelling
    • Atmospheric consistency
    • Patient pacing

    Timeline

    • 0:45Narrative Hook
    • 7:20Groove Lock

    Coaching notes

    • Focus on 'harmonic mixing' to bridge genre gaps; the 60:12 transition felt musically unrelated.
    • Maintain percussive energy when switching from rock to R&B to avoid a 'sag' in the dancefloor energy.
    • Use shorter transitions for high-contrast genre shifts to make them feel like 'power cuts' rather than slow, awkward blends.
    • Introduce more melodic elements to provide emotional contrast.
    • Experiment with more creative transition techniques like looping.
    • Use filter sweeps more effectively to signal energy shifts.
    • Ensure energy levels don't peak too early in the overall mix.
    • Use subtle delay throws on percussion to add spatial depth.
    • Experiment with brief, dramatic filter cuts to create 'fake' drops.
    • Incorporate more varied mid-range textures to prevent frequency fatigue.
    • Introduce more melodic variation to break up long percussive segments.
    • Experiment with high-pass filter sweeps to build more tension before drops.
    • Incorporate occasional 'surprise' elements to keep the listener on their toes.
    • Use dramatic breakdowns to emphasize the emotional vocal elements.
    • Continue to leverage long, transparent blends as a signature technique.
    • Explore adding subtle live percussion elements to further enhance the organic feel.
    • Maintain the current balance between vocal and instrumental tracks.
    Listen on SoundCloud

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    Questions about this analysis

    What score does Damian Lazarus's Lazpod 31 get?
    Lazpod 31 scores 72/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
    How long is Lazpod 31?
    The analysed recording runs 2h 04m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 85/100, while SURPRISE is the lowest at 77/100.
    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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