Blond:ishBLOND:ISH Fusion Festival 2019 - Full set

    Afro House · 2h 01m · analysed 22 Aug 2026

    Overall score
    85/100
    Level
    festival ready
    Duration
    2h 01m
    Genre
    Afro House

    About this afro house set

    BLOND:ISH Fusion Festival 2019 - Full set is a afro house DJ set by Blond:ish, running 2h 01m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.

    The engine files this performance as “Promising”.

    The DJ's ability to maintain a hypnotic groove while evolving the rhythmic complexity is a hallmark of professional mastery.

    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 82/100.

    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 39 points, moving between 65 and 90 on the SOONOS energy scale — a moderate dynamic range across the set.

    5 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 587.7 grid breaks per hour, with a median beat offset of 25 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    The DJ's ability to maintain a hypnotic groove while evolving the rhythmic complexity is a hallmark of professional mastery.

    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%85
    Beat Alignmentmeasured76
    Transition Qualitymeasured79
    Phrase Accuracymeasured92
    EQ & Frequency Control (estimated)measured87
    Tempo Stability (estimated)measured94
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%89
    Narrative ArcAI92
    ProgressionAI88
    Tension & ReleaseAI84
    Section AwarenessAI89
    Flow ContinuityAI93
    PayoffAI87

    ENERGY

    Did you control the room?

    20%85
    Energy Curvemeasured89
    PacingAI92
    MomentumAI91
    Peak ManagementAI87
    Energy HandoffAI87
    Fatigue ControlAI48

    SURPRISE

    Did you remain unpredictable?

    15%82
    Unexpected MomentsAI83
    ContrastAI84
    Transition Varietymeasured93
    Selection RiskAI86
    FreshnessAI51
    Surprise ControlAI83

    IDENTITY

    Did the mix sound like you?

    15%93
    Selection QualityAI92
    Identity ConsistencyAI96
    IntentionalityAI93
    ConfidenceAI92
    RestraintAI91
    SignatureAI93

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

    Energy arc

    00:00109:00

    Transitions analysed (5)

    05:45

    Long EQ blend with subtle low-end handover

    A textbook example of how to merge two tracks without the listener noticing the switch.

    92
    15:12

    Long EQ blend with high-pass filtering

    A textbook organic house transition, slowly introducing the new percussion while fading the previous bassline.

    92
    19:45

    Vocal layering and phrase-matched drop

    Expertly timed entry of the 'Other Side' vocal, creating a massive emotional peak for the festival crowd.

    94
    22:45

    Long EQ blend with low-end swap

    Smooth transition between two percussive tracks, maintaining the tribal groove.

    88
    29:30

    Melodic layering and high-pass filter fade

    A very musical blend where the incoming melody complements the outgoing rhythm perfectly.

    85

    Technical subscores

    87

    EQ balance

    93

    Beat alignment

    87

    Energy control

    94

    Tempo stability

    86

    Loudness control

    91

    Musical coherence

    91

    Harmonic compatibility

    89

    Transition cleanliness

    Measured (DSP)

    24.5 ms

    Beat-grid drift (median)

    257.8 ms

    Drift p95

    7,254

    Boundaries detected

    31

    Hard cuts / h

    2

    Clipping events

    191

    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, 8:15, 15:45, 24:00, 30:00, 33:00). Long loops kill dancefloor momentum.

    Timeline

    • 08:15Melodic Peak
    • 04:30Vocal Texture Entry
    • 14:30Percussive Synergy
    • 20:15Emotional Peak
    • 19:45Risky pressure or vibe dip
    • 25:15Groove Lock

    Coaching notes

    • Experiment with more aggressive filter work to create sharper tension breaks.
    • Introduce a 'wildcard' track that breaks the genre mold slightly to add surprise.
    • Utilize more long-form looping to extend the most hypnotic passages.
    • Experiment with more dramatic filter sweeps during transitions.
    • Incorporate subtle melodic motifs to enhance the emotional arc.
    • Maintain the current level of percussive layering, as it is a key strength.
    • Experiment with shorter, more dynamic transitions to contrast the long blends.
    • Use more dramatic filter sweeps to signal upcoming melodic changes.
    • Incorporate more live-sounding percussion 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 Fusion Festival 2019 - Full set get?
    BLOND:ISH Fusion Festival 2019 - Full set scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is BLOND:ISH Fusion Festival 2019 - Full set?
    The analysed recording runs 2h 01m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 93/100, while SURPRISE is the lowest at 82/100.
    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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