Excision — Excision - Shambhala 2015 Mix

    Dubstep · 1h 24m · analysed 20 Aug 2026 · source: soundcloud.com

    Overall score
    80/100
    Level
    club ready
    Duration
    1h 24m
    Genre
    Dubstep

    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, Excision.

    In short

    Excision - Shambhala 2015 Mix by Excision scores 80/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (94/100) and the weakest is TECHNIQUE (83/100).

    The DJ uses energy as a narrative tool, creating a relentless but coherent story.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (28:30, 34:00, 48:00, 52:00, 58:00, 72:00). Long loops kill dancefloor momentum.

    What to try next

    • Continue to push the boundaries of layering density.
    • Explore more melodic contrast in atmospheric bridges.
    • Maintain the high level of technical precision.

    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.

    • 2:15Measured (DSP)100/100Listen at 2:15

      Strategic disruption

    • 9:40Measured (DSP)100/100Listen at 9:40

      Intentional reset

    • 13:22Measured (DSP)95/100Listen at 13:22

      Perfectly timed impact where the new bassline takes over the sub-frequencies instantly.

    • 17:45Measured (DSP)92/100Listen at 17:45

      The outgoing vocal melody lingers perfectly over the incoming atmospheric pads.

    • 25:12Measured (DSP)95/100Listen at 25:12

      Perfectly executed energy handoff between two aggressive basslines.

    About this dubstep set

    Excision - Shambhala 2015 Mix is a dubstep DJ set by Excision, running 1h 24m. It was measured by the SOONOS multi-agent engine and scores 80/100 overall — club ready.

    The engine files this performance as “Promising”.

    The DJ uses energy as a narrative tool, creating a relentless but coherent story.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 94/100; the weakest is TECHNIQUE at 83/100.

    The final score is capped by measured beatmatching: 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 21 points, moving between 40 and 98 on the SOONOS energy scale — a wide dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 793.5 grid breaks per hour, with a median beat offset of 28 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.

    On this set, the ceiling applied is measured beatmatching.

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

    Listen to the original set

    Full SOONOS analysis

    0

    The DJ uses energy as a narrative tool, creating a relentless but coherent story.

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%83
    Beat Alignmentmeasured68
    Transition Qualitymeasured75
    Phrase Accuracymeasured95
    EQ & Frequency Control (estimated)measured87
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%94
    Narrative ArcAI94
    ProgressionAI92
    Tension & ReleaseAI93
    Section AwarenessAI94
    Flow ContinuityAI91
    PayoffAI98

    ENERGY

    Did you control the room?

    20%88
    Energy Curvemeasured87
    PacingAI91
    MomentumAI97
    Peak ManagementAI95
    Energy HandoffAI96
    Fatigue ControlAI51

    SURPRISE

    Did you remain unpredictable?

    15%87
    Unexpected MomentsAI88
    ContrastAI87
    Transition Varietymeasured96
    Selection RiskAI94
    FreshnessAI53
    Surprise ControlAI88

    IDENTITY

    Did the mix sound like you?

    15%94
    Selection QualityAI94
    Identity ConsistencyAI98
    IntentionalityAI97
    ConfidenceAI98
    RestraintAI77
    SignatureAI96

    Final score capped by measured beatmatching — the weighted average before the cap was 89.

    Energy arc

    24:0083:42

    Transitions analysed (6)

    2:15

    Perfect Double Drop

    strategic_disruption

    100
    5:45

    Minor EQ Overlap

    82
    9:40

    Cinematic Handoff

    intentional_reset

    100
    13:22

    Double-drop with high-pass swap

    Perfectly timed impact where the new bassline takes over the sub-frequencies instantly.

    95
    17:45

    Long stem overlap into breakdown

    The outgoing vocal melody lingers perfectly over the incoming atmospheric pads.

    92
    25:12

    Double-drop with high-pass filter swap

    Perfectly executed energy handoff between two aggressive basslines.

    95

    Technical subscores

    87

    EQ balance

    95

    Beat alignment

    95

    Energy control

    96

    Tempo stability

    89

    Loudness control

    91

    Musical coherence

    87

    Harmonic compatibility

    90

    Transition cleanliness

    Measured (DSP)

    28 ms

    Beat-grid drift (median)

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

    202 ms

    Drift p95

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

    5,005

    Boundaries detected

    Points where the audio changes track or section.

    73

    Hard cuts / h

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

    5936

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    386

    Level jumps

    Sudden volume steps between tracks.

    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 (28:30, 34:00, 48:00, 52:00, 58:00, 72:00). Long loops kill dancefloor momentum.

    Timeline

    • 15:12The Triple Layer
    • 20:30Rhythmic Switch-up
    • 27:08Triple Layer Peak

    Coaching notes

    • Continue to push the boundaries of layering density.
    • Explore more melodic contrast in atmospheric bridges.
    • Maintain the high level of technical precision.
    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 Excision's Excision - Shambhala 2015 Mix get?
    Excision - Shambhala 2015 Mix scores 80/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is Excision - Shambhala 2015 Mix?
    The analysed recording runs 1h 24m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 94/100, while TECHNIQUE 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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