Blond:ishBLOND:ISH Live @SXM Festival (March 12 2020)

    Afro House · 1h 60m · analysed 22 Aug 2026

    Overall score
    85/100
    Level
    festival ready
    Duration
    1h 60m
    Genre
    Afro House

    About this afro house set

    BLOND:ISH Live @SXM Festival (March 12 2020) is a afro house DJ set by Blond:ish, running 1h 60m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.

    The engine files this performance as “Promising”.

    This DJ understands that in a festival setting, the space between the tracks is just as important as the tracks themselves.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 93/100; the weakest is SURPRISE at 83/100.

    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 60 points, moving between 40 and 95 on the SOONOS energy scale — a wide dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 214.7 grid breaks per hour, with a median beat offset of 20 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This DJ understands that in a festival setting, the space between the tracks is just as important as the tracks themselves.

    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%86
    Beat Alignmentmeasured81
    Transition Qualitymeasured81
    Phrase Accuracymeasured92
    EQ & Frequency Control (estimated)measured87
    Tempo Stability (estimated)measured94
    Technical Cleanlinessmeasured79

    STORYTELLING

    Did the mix go somewhere?

    25%88
    Narrative ArcAI91
    ProgressionAI88
    Tension & ReleaseAI84
    Section AwarenessAI89
    Flow ContinuityAI92
    PayoffAI85

    ENERGY

    Did you control the room?

    20%84
    Energy Curvemeasured86
    PacingAI91
    MomentumAI91
    Peak ManagementAI87
    Energy HandoffAI87
    Fatigue ControlAI47

    SURPRISE

    Did you remain unpredictable?

    15%83
    Unexpected MomentsAI83
    ContrastAI83
    Transition Varietymeasured93
    Selection RiskAI87
    FreshnessAI52
    Surprise ControlAI83

    IDENTITY

    Did the mix sound like you?

    15%93
    Selection QualityAI93
    Identity ConsistencyAI97
    IntentionalityAI93
    ConfidenceAI92
    RestraintAI89
    SignatureAI93

    Final score capped by measured execution (-) — weighted average was 87.

    Energy arc

    00:00119:40

    Transitions analysed (6)

    04:22

    Long EQ blend with vocal layering

    Masterful integration of the incoming vocal; it feels like it was always part of the first track.

    92
    08:48

    Progressive EQ swap on phrase

    Smooth transition into a more melodic space. The low-end handover is transparent.

    88
    13:15

    Long EQ blend with low-end swap

    Extremely smooth transition where the incoming bassline takes over without any audible dip in energy.

    92
    17:40

    Percussive layering and mid-range swap

    The DJ layers the shakers and hats perfectly, creating a seamless rhythmic bridge.

    88
    22:10

    Filter-assisted blend

    Effective use of a high-pass filter on the outgoing track to make room for the incoming groove.

    85
    25:12

    Long EQ blend with low-end swap

    Beautifully executed transition where the new bassline takes over almost imperceptibly.

    90

    Technical subscores

    87

    EQ balance

    93

    Beat alignment

    87

    Energy control

    94

    Tempo stability

    88

    Loudness control

    91

    Musical coherence

    89

    Harmonic compatibility

    89

    Transition cleanliness

    Measured (DSP)

    20.1 ms

    Beat-grid drift (median)

    85.4 ms

    Drift p95

    7,162

    Boundaries detected

    75

    Hard cuts / h

    96

    Clipping events

    361

    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, 26:00, 32:00, 36:00, 43:00, 48:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Exceptional track selection for the context.
    • Seamless, professional technical execution.
    • Strong sense of artistic identity.

    Timeline

    • 04:15Vocal Hook Entry
    • 09:30Melodic Peak
    • 27:30Vocal Hook Peak

    Coaching notes

    • Continue to leverage long blends to maintain the hypnotic state.
    • Monitor high-frequency accumulation when layering multiple percussive tracks.
    • Consider a brief 'reset' moment around the 20-minute mark to prepare for the next energy tier.
    • Experiment with more dramatic low-end cuts to create 'drop' moments.
    • Use vocal loops from the outgoing track to bridge into the next chapter.
    • Incorporate more live-sounding percussion elements to enhance the organic feel.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Blond:ish's BLOND:ISH Live @SXM Festival (March 12 2020) get?
    BLOND:ISH Live @SXM Festival (March 12 2020) scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is BLOND:ISH Live @SXM Festival (March 12 2020)?
    The analysed recording runs 1h 60m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 93/100, while SURPRISE is the lowest at 83/100.
    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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