Pachanga Boys — Pachanga Boys - Live DGTL Festival 2015

    Indie House · 2h 05m · Dgtl · analysed 24 Aug 2026 · source: soundcloud.com

    Overall score
    87/100
    Level
    festival ready
    Duration
    2h 05m
    Genre
    Indie House

    Public mix analysis — no affiliation or endorsement. This report measures a publicly available recording hosted on soundcloud.com. The scores are produced by SOONOS and do not imply any partnership with, or approval by, Pachanga Boys.

    In short

    Pachanga Boys - Live DGTL Festival 2015 by Pachanga Boys scores 87/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (96/100) and the weakest is TECHNIQUE (86/100).

    The Pachanga Boys prove that in a festival setting, the most powerful tool a DJ has is the ability to wait.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (25:00, 31:00, 34:00, 38:45, 57:00, 62:00). Long loops kill dancefloor momentum.

    What to try next

    • Continue to leverage long blends to maintain the hypnotic state.
    • Experiment with subtle EQ automation to add movement to static loops.
    • Maintain the current level of restraint; it is your most professional trait.

    Timestamped insights

    Each moment below is tagged with how it was produced: “measured” comes from the DSP pass on the audio, “listening” comes from the multi-agent listening pass.

    • 7:45Measured (DSP)100/100Listen at 7:45

      Intentional reset

    • 12:45Measured (DSP)92/100Listen at 12:45

      A masterfully executed long blend where the two tracks become one. The handover is invisible.

    • 18:30Measured (DSP)88/100Listen at 18:30

      Smooth transition that uses frequency separation to introduce new melodic elements without clutter.

    • 23:30Measured (DSP)92/100Listen at 23:30

      A masterclass in transparency; the new track emerges from the existing groove without a seam.

    About this indie house set

    Pachanga Boys - Live DGTL Festival 2015 is a indie house DJ set by Pachanga Boys, running 2h 05m. It was measured by the SOONOS multi-agent engine and scores 87/100 overall — festival ready.

    The engine files this performance as “Promising”.

    The Pachanga Boys prove that in a festival setting, the most powerful tool a DJ has is the ability to wait.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 96/100; the weakest is TECHNIQUE at 86/100.

    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 41 points, moving between 10 and 98 on the SOONOS energy scale — a wide dynamic range across the set.

    5 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 219.0 grid breaks per hour, with a median beat offset of 24 ms.

    How this score is built

    Measured layer (DSP): the audio file is analysed directly — beat grid, tempo stability, loudness and energy. These values are measurements, not opinions.

    Listening layer: a multi-agent pass reads musical intent — programming, storytelling, coherence and crowd effect. This layer interprets, it does not measure.

    Fusion and ceilings: the two layers are merged, and the measured layer always wins on execution. When the DSP hears an execution problem, it caps the final score even if the listening layer is positive.

    Measured coverage for this file is 100% of the set.

    Listen to the original set

    Full SOONOS analysis

    0

    The Pachanga Boys prove that in a festival setting, the most powerful tool a DJ has is the ability to wait.

    The 8 dimensions

    Not available — the 8-dimension profile was not measured for this set.

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%86
    Beat Alignmentmeasured77
    Transition Qualitymeasured90
    Phrase Accuracymeasured94
    EQ & Frequency Control (estimated)measured87
    Tempo Stability (estimated)measured93
    Technical Cleanlinessmeasured65

    STORYTELLING

    Did the mix go somewhere?

    25%92
    Narrative ArcAI95
    ProgressionAI90
    Tension & ReleaseAI92
    Section AwarenessAI93
    Flow ContinuityAI96
    PayoffAI85

    ENERGY

    Did you control the room?

    20%89
    Energy Curvemeasured90
    PacingAI96
    MomentumAI93
    Peak ManagementAI91
    Energy HandoffAI89
    Fatigue ControlAI57

    SURPRISE

    Did you remain unpredictable?

    15%86
    Unexpected MomentsAI87
    ContrastAI88
    Transition Varietymeasured94
    Selection RiskAI90
    FreshnessAI57
    Surprise ControlAI87

    IDENTITY

    Did the mix sound like you?

    15%96
    Selection QualityAI95
    Identity ConsistencyAI97
    IntentionalityAI97
    ConfidenceAI95
    RestraintAI97
    SignatureAI95

    Energy arc

    0:00124:30

    Transitions analysed (5)

    7:45

    The Ghost Blend

    intentional_reset

    100
    10:15

    Percussive Handover

    100
    12:45

    64-bar EQ blend with gradual low-end migration

    A masterfully executed long blend where the two tracks become one. The handover is invisible.

    92
    18:30

    Mid-frequency layering and high-pass filter sweep

    Smooth transition that uses frequency separation to introduce new melodic elements without clutter.

    88
    23:30

    Long percussive blend

    A masterclass in transparency; the new track emerges from the existing groove without a seam.

    92

    Technical subscores

    87

    EQ balance

    92

    Beat alignment

    87

    Energy control

    93

    Tempo stability

    86

    Loudness control

    93

    Musical coherence

    92

    Harmonic compatibility

    89

    Transition cleanliness

    Measured (DSP)

    24 ms

    Beat-grid drift (median)

    Typical gap between the two tracks' beats while they play together. Lower is tighter.

    96 ms

    Drift p95

    Worst-case drift: 95% of the set stays tighter than this value.

    7,482

    Boundaries detected

    Points where the audio changes track or section.

    13

    Hard cuts / h

    Abrupt track changes per hour, with no blend between the two records.

    6

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    164

    Level jumps

    Sudden volume steps between tracks.

    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 (25:00, 31:00, 34:00, 38:45, 57:00, 62:00). Long loops kill dancefloor momentum.

    Timeline

    • 15:20Hypnotic Lock
    • 22:10Atmospheric Shift
    • 26:30Groove Lock
    • 29:45Melodic Bloom

    Coaching notes

    • Continue to leverage long blends to maintain the hypnotic state.
    • Experiment with subtle EQ automation to add movement to static loops.
    • Maintain the current level of restraint; it is your most professional trait.
    Listen on SoundCloud

    Curious how your own set scores?

    Methodology and limitations

    This report is produced automatically from the published recording. It measures what is present in the audio file: a bad source encoding, a partial upload or a heavily processed broadcast version can change the measured values. Nothing here reflects the room, the crowd or the night itself.

    Read the full SOONOS methodology →

    Questions about this analysis

    What score does Pachanga Boys's Pachanga Boys - Live DGTL Festival 2015 get?
    Pachanga Boys - Live DGTL Festival 2015 scores 87/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Pachanga Boys - Live DGTL Festival 2015?
    The analysed recording runs 2h 05m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 96/100, while TECHNIQUE is the lowest at 86/100.
    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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