SOONOS

    SlanderSLANDER @ EDC LAS VEGAS 2023

    Melodic Dubstep · 1h 07m · EDC · analysed 25 Aug 2026 · source: soundcloud.com

    Overall score
    83/100
    Level
    club ready
    Duration
    1h 07m
    Genre
    Melodic 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, Slander.

    In short

    SLANDER @ EDC LAS VEGAS 2023 by Slander scores 83/100 in the SOONOS analysis (club ready). The strongest dimension is STORYTELLING (91/100) and the weakest is SURPRISE (81/100).

    The DJ's ability to weave emotional melodies into aggressive festival structures is a hallmark of professional-level storytelling.

    Key takeaways

    What worked

    • Masterful tension and release management.
    • Strong emotional narrative within a high-energy context.
    • Technically precise and high-impact transitions.

    What weakened the set

    • Long static loops (3×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (20:00, 28:00, 32:00). Long loops kill dancefloor momentum.

    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.

    • 1:18Measured (DSP)92/100Listen at 1:18

      Perfectly timed impact, switching from melodic intro to heavy bass.

    • 5:08Measured (DSP)88/100Listen at 5:08

      Energetic switch between two trap rhythms, maintaining the groove.

    • 12:15Measured (DSP)92/100Listen at 12:15

      Perfectly timed energy swap that catches the crowd off guard in a positive way.

    • 16:45Measured (DSP)82/100Listen at 16:45

      Smooth transition from a heavy section into a melodic vocal breakdown.

    • 24:15Measured (DSP)88/100Listen at 24:15

      Smooth transition from heavy dubstep into a melodic vocal section.

    About this melodic dubstep set

    SLANDER @ EDC LAS VEGAS 2023 is a melodic dubstep DJ set by Slander, running 1h 07m. It was measured by the SOONOS multi-agent engine and scores 83/100 overall — club ready.

    The engine files this performance as “Promising”.

    The DJ's ability to weave emotional melodies into aggressive festival structures is a hallmark of professional-level storytelling.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is STORYTELLING at 91/100; the weakest is SURPRISE at 81/100.

    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 27 points, moving between 20 and 99 on the SOONOS energy scale — a wide dynamic range across the set.

    5 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 1087.8 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 DJ's ability to weave emotional melodies into aggressive festival structures is a hallmark of professional-level storytelling.

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%82
    Beat Alignmentmeasured76
    Transition Qualitymeasured67
    Phrase Accuracymeasured91
    EQ & Frequency Control (estimated)measured80
    Tempo Stability (estimated)measured94
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%91
    Narrative ArcAI90
    ProgressionAI88
    Tension & ReleaseAI93
    Section AwarenessAI92
    Flow ContinuityAI87
    PayoffAI96

    ENERGY

    Did you control the room?

    20%85
    Energy Curvemeasured91
    PacingAI87
    MomentumAI93
    Peak ManagementAI92
    Energy HandoffAI89
    Fatigue ControlAI36

    SURPRISE

    Did you remain unpredictable?

    15%81
    Unexpected MomentsAI83
    ContrastAI86
    Transition Varietymeasured92
    Selection RiskAI87
    FreshnessAI36
    Surprise ControlAI83

    IDENTITY

    Did the mix sound like you?

    15%90
    Selection QualityAI90
    Identity ConsistencyAI95
    IntentionalityAI93
    ConfidenceAI95
    RestraintAI75
    SignatureAI92

    Energy arc

    0:0066:49

    Transitions analysed (5)

    1:18

    Drop swap with high-pass riser

    Perfectly timed impact, switching from melodic intro to heavy bass.

    92
    5:08

    Fast cut on the 4th beat

    Energetic switch between two trap rhythms, maintaining the groove.

    88
    12:15

    Hard cut on the drop

    Perfectly timed energy swap that catches the crowd off guard in a positive way.

    92
    16:45

    Cross-fader blend with high-pass filter

    Smooth transition from a heavy section into a melodic vocal breakdown.

    82
    24:15

    EQ blend with vocal layering

    Smooth transition from heavy dubstep into a melodic vocal section.

    88

    Technical subscores

    80

    EQ balance

    92

    Beat alignment

    88

    Energy control

    94

    Tempo stability

    80

    Loudness control

    84

    Musical coherence

    85

    Harmonic compatibility

    85

    Transition cleanliness

    Measured (DSP)

    24 ms

    Beat-grid drift (median)

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

    197 ms

    Drift p95

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

    3,992

    Boundaries detected

    Points where the audio changes track or section.

    106

    Hard cuts / h

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

    8

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    317

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 99% · analysed on the full audio.

    Recurring patterns

    • Long static loops (3×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (20:00, 28:00, 32:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Masterful tension and release management.
    • Strong emotional narrative within a high-energy context.
    • Technically precise and high-impact transitions.

    Timeline

    • 0:45Atmospheric Hook
    • 5:32Energy Peak
    • 1:18Risky pressure or vibe dip
    • 13:45Bass Dominance
    • 20:15Riser Saturation
    • 16:45Risky pressure or vibe dip
    • 24:30Emotional Shift
    • 29:55Peak Energy Drop
    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 Slander's SLANDER @ EDC LAS VEGAS 2023 get?
    SLANDER @ EDC LAS VEGAS 2023 scores 83/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is SLANDER @ EDC LAS VEGAS 2023?
    The analysed recording runs 1h 07m.
    Which part of the mix scores best?
    STORYTELLING is the strongest category at 91/100, while SURPRISE is the lowest at 81/100.
    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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