SOONOS

    SlanderSLANDER @ EDC LAS VEGAS 2019

    Melodic Dubstep · 55 min · EDC · analysed 25 Aug 2026 · source: soundcloud.com

    Overall score
    81/100
    Level
    club ready
    Duration
    55 min
    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 2019 by Slander scores 81/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (89/100) and the weakest is SURPRISE (76/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (1×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (31:00). Long loops kill dancefloor momentum.

    What to try next

    • Experiment with longer, more atmospheric build-ups to heighten emotional payoff.
    • Introduce unexpected genre shifts to maintain a high level of surprise.
    • Focus on micro-EQ adjustments during high-energy blends to ensure maximum clarity.
    • Refine gain staging during high-energy cuts to avoid volume spikes.

    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.

    • 3:45Measured (DSP)92/100Listen at 3:45

      Massive energy handoff, perfectly timed for maximum impact.

    • 5:42Measured (DSP)85/100Listen at 5:42

      Sharp transition from melodic vocals to heavy bass, maintaining momentum.

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

      Strategic disruption

    • 19:00Measured (DSP)100/100Listen at 19:00

      Intentional reset

    • 26:30Measured (DSP)64/100Listen at 26:30

      Strategic disruption

    About this melodic dubstep set

    SLANDER @ EDC LAS VEGAS 2019 is a melodic dubstep DJ set by Slander, running 55 min. It was measured by the SOONOS multi-agent engine and scores 81/100 overall — club ready.

    The engine files this performance as “Promising”.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 89/100; the weakest is SURPRISE at 76/100.

    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 22 points, moving between 40 and 98 on the SOONOS energy scale — a wide dynamic range across the set.

    8 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 1074.9 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 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%80
    Beat Alignmentmeasured76
    Transition Qualitymeasured63
    Phrase Accuracymeasured88
    EQ & Frequency Control (estimated)measured80
    Tempo Stability (estimated)measured93
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%87
    Narrative ArcAI88
    ProgressionAI83
    Tension & ReleaseAI90
    Section AwarenessAI86
    Flow ContinuityAI80
    PayoffAI96

    ENERGY

    Did you control the room?

    20%83
    Energy Curvemeasured89
    PacingAI84
    MomentumAI93
    Peak ManagementAI91
    Energy HandoffAI90
    Fatigue ControlAI24

    SURPRISE

    Did you remain unpredictable?

    15%76
    Unexpected MomentsAI80
    ContrastAI80
    Transition Varietymeasured92
    Selection RiskAI85
    FreshnessAI12
    Surprise ControlAI80

    IDENTITY

    Did the mix sound like you?

    15%89
    Selection QualityAI90
    Identity ConsistencyAI95
    IntentionalityAI92
    ConfidenceAI95
    RestraintAI71
    SignatureAI88

    Energy arc

    0:0044:00

    Transitions analysed (8)

    3:45

    Drop swap with high-pass filter sweep

    Massive energy handoff, perfectly timed for maximum impact.

    92
    5:42

    Quick cut on the downbeat

    Sharp transition from melodic vocals to heavy bass, maintaining momentum.

    85
    12:45

    Perfect Impact Cut

    strategic_disruption

    100
    16:20

    Minor EQ Overlap

    82
    19:00

    Vocal Mashup Blend

    intentional_reset

    100
    22:15

    Clean Energy Swap

    82
    26:30

    Abrupt Volume Jump

    strategic_disruption

    64
    30:15

    Perfect Melodic Blend

    100

    Technical subscores

    80

    EQ balance

    91

    Beat alignment

    91

    Energy control

    93

    Tempo stability

    79

    Loudness control

    81

    Musical coherence

    84

    Harmonic compatibility

    83

    Transition cleanliness

    Measured (DSP)

    24 ms

    Beat-grid drift (median)

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

    194 ms

    Drift p95

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

    3,290

    Boundaries detected

    Points where the audio changes track or section.

    125

    Hard cuts / h

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

    7219

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    350

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 99% · analysed on the full audio.

    Recurring patterns

    • Long static loops (1×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (31:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:00Cinematic Intro
    • 6:15Peak Energy Drop
    • 5:42Risky pressure or vibe dip
    • 29:55The Silence Before the Storm
    • 26:30Abrupt Volume Spike

    Coaching notes

    • Experiment with longer, more atmospheric build-ups to heighten emotional payoff.
    • Introduce unexpected genre shifts to maintain a high level of surprise.
    • Focus on micro-EQ adjustments during high-energy blends to ensure maximum clarity.
    • Refine gain staging during high-energy cuts to avoid volume spikes.
    • Incorporate more rhythmic complexity in the dubstep drops.
    • Experiment with longer, more atmospheric builds to enhance the emotional payoff.
    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 2019 get?
    SLANDER @ EDC LAS VEGAS 2019 scores 81/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is SLANDER @ EDC LAS VEGAS 2019?
    The analysed recording runs 55 min.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 89/100, while SURPRISE is the lowest at 76/100.
    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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