Axwell — Axwell @ Electric Zoo (Live Set)

    Commercial EDM · 1h 29m · analysed 20 Aug 2026 · source: soundcloud.com

    Overall score
    60/100
    Level
    developing
    Duration
    1h 29m
    Genre
    Commercial EDM

    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, Axwell.

    In short

    Axwell @ Electric Zoo (Live Set) by Axwell scores 60/100 in the SOONOS analysis (developing). The strongest dimension is STORYTELLING (92/100) and the weakest is TECHNIQUE (83/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Repeated volume jumps (2×) — Gain-staging mismatches break perceived continuity and force the crowd to readjust. Detected 2× (7:45, 20:32).
    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (8:00, 33:00, 39:00, 44:00, 49:00, 54:00). Long loops kill dancefloor momentum.
    • Beat alignment needs work — typical drift of 30 ms — Measured median beat-grid drift is 30 ms across the transitions. Reference: pro ≤ 25 ms, needs work 30-42 ms, must be reworked > 42 ms. Above ~30 ms the kick flams and dancers feel the blend slipping.

    What to try next

    • Experiment with longer, more atmospheric bridges to further heighten the impact of the drops.
    • Incorporate more call-and-response elements to deepen the connection with the audience.
    • Explore deeper, more melancholic textures in the breakdowns to add narrative complexity.

    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.

    • 0:45Measured (DSP)92/100Listen at 0:45

      Perfectly timed entry that capitalizes on the intro's momentum.

    • 4:20Measured (DSP)88/100Listen at 4:20

      Smooth transition with effective low-end management.

    • 7:45Measured (DSP)85/100Listen at 7:45

      Harmonically compatible blend that enriches the sonic texture.

    • 12:18Measured (DSP)92/100Listen at 12:18

      Perfectly timed energy hand-off that keeps the vocal momentum alive.

    • 16:45Measured (DSP)88/100Listen at 16:45

      Smooth transition between two melodic themes, maintaining harmonic integrity.

    • 20:32Measured (DSP)85/100Listen at 20:32

      Aggressive transition that works for the energy level but feels slightly abrupt.

    • 22:34Measured (DSP)100/100Listen at 22:34

      Strategic disruption

    • 30:15Measured (DSP)100/100Listen at 30:15

      Intentional reset

    About this commercial edm set

    Axwell @ Electric Zoo (Live Set) is a commercial edm DJ set by Axwell, running 1h 29m. It was measured by the SOONOS multi-agent engine and scores 60/100 overall — developing.

    The engine files this performance as “Promising”.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is STORYTELLING at 92/100; 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 31 points, moving between 70 and 98 on the SOONOS energy scale — a moderate dynamic range across the set.

    9 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 1042.0 grid breaks per hour, with a median beat offset of 30 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 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 Alignmentmeasured60
    Transition Qualitymeasured83
    Phrase Accuracymeasured94
    EQ & Frequency Control (estimated)measured85
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%92
    Narrative ArcAI92
    ProgressionAI90
    Tension & ReleaseAI94
    Section AwarenessAI92
    Flow ContinuityAI90
    PayoffAI97

    ENERGY

    Did you control the room?

    20%90
    Energy Curvemeasured92
    PacingAI89
    MomentumAI96
    Peak ManagementAI94
    Energy HandoffAI92
    Fatigue ControlAI66

    SURPRISE

    Did you remain unpredictable?

    15%86
    Unexpected MomentsAI84
    ContrastAI86
    Transition Varietymeasured93
    Selection RiskAI90
    FreshnessAI68
    Surprise ControlAI84

    IDENTITY

    Did the mix sound like you?

    15%92
    Selection QualityAI90
    Identity ConsistencyAI97
    IntentionalityAI94
    ConfidenceAI96
    RestraintAI80
    SignatureAI91

    Final score capped by measured beatmatching — the weighted average before the cap was 88.

    Energy arc

    0:0066:00

    Transitions analysed (9)

    0:45

    Phrase-aligned cut-in

    Perfectly timed entry that capitalizes on the intro's momentum.

    92
    4:20

    EQ-based blend

    Smooth transition with effective low-end management.

    88
    7:45

    Melodic layering

    Harmonically compatible blend that enriches the sonic texture.

    85
    12:18

    High-pass filter sweep into drop swap

    Perfectly timed energy hand-off that keeps the vocal momentum alive.

    92
    16:45

    Long melodic blend with low-end swap

    Smooth transition between two melodic themes, maintaining harmonic integrity.

    88
    20:32

    Quick cut on the 4th beat

    Aggressive transition that works for the energy level but feels slightly abrupt.

    85
    22:34

    Perfect Mashup Blend

    strategic_disruption

    100
    26:22

    Minor EQ Overlap

    82
    30:15

    Elite Drop Swap

    intentional_reset

    100

    Technical subscores

    85

    EQ balance

    93

    Beat alignment

    92

    Energy control

    96

    Tempo stability

    87

    Loudness control

    87

    Musical coherence

    89

    Harmonic compatibility

    88

    Transition cleanliness

    Measured (DSP)

    30 ms

    Beat-grid drift (median)

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

    204 ms

    Drift p95

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

    5,294

    Boundaries detected

    Points where the audio changes track or section.

    8

    Hard cuts / h

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

    72

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    147

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Repeated volume jumps

      Gain-staging mismatches break perceived continuity and force the crowd to readjust. Detected 2× (7:45, 20:32).

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (8:00, 33:00, 39:00, 44:00, 49:00, 54:00). Long loops kill dancefloor momentum.

    • Beat alignment needs work — typical drift of 30 ms

      Measured median beat-grid drift is 30 ms across the transitions. Reference: pro ≤ 25 ms, needs work 30-42 ms, must be reworked > 42 ms. Above ~30 ms the kick flams and dancers feel the blend slipping.

    Timeline

    • 1:30First Major Drop
    • 8:30Melodic Breakdown
    • 20:32Risky pressure or vibe dip

    Coaching notes

    • Experiment with longer, more atmospheric bridges to further heighten the impact of the drops.
    • Incorporate more call-and-response elements to deepen the connection with the audience.
    • Explore deeper, more melancholic textures in the breakdowns to add narrative complexity.
    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 Axwell's Axwell @ Electric Zoo (Live Set) get?
    Axwell @ Electric Zoo (Live Set) scores 60/100 in the SOONOS Mix Database (developing), based on audio measurement plus multi-agent listening.
    How long is Axwell @ Electric Zoo (Live Set)?
    The analysed recording runs 1h 29m.
    Which part of the mix scores best?
    STORYTELLING is the strongest category at 92/100, 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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