Andrew BayerAndrew Bayer - Live At Ultra Music Festival 2015

    Melodic EDM · 1h 17m · Ultra Music Festival · analysed 21 Aug 2026

    Overall score
    87/100
    Level
    festival ready
    Duration
    1h 17m
    Genre
    Melodic EDM

    About this melodic edm set

    Andrew Bayer - Live At Ultra Music Festival 2015 is a melodic edm DJ set by Andrew Bayer, running 1h 17m. It was measured by the SOONOS multi-agent engine and scores 87/100 overall — festival ready.

    The engine files this performance as “Promising”.

    This segment is a textbook example of how to command a massive festival crowd through precise energy control.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 94/100; the weakest is SURPRISE at 84/100.

    The final score is capped by measured -: 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 25 points, moving between 20 and 96 on the SOONOS energy scale — a wide dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 880.1 grid breaks per hour, with a median beat offset of 18 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This segment is a textbook example of how to command a massive festival crowd through precise energy control.

    The 8 dimensions

    Technical precision0
    Track selection0
    Energy arc0
    Crowd control0
    Harmonic depth0
    Groove patience0
    Creativity0
    Signature0

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%86
    Beat Alignmentmeasured84
    Transition Qualitymeasured73
    Phrase Accuracymeasured94
    EQ & Frequency Control (estimated)measured88
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured78

    STORYTELLING

    Did the mix go somewhere?

    25%93
    Narrative ArcAI95
    ProgressionAI92
    Tension & ReleaseAI89
    Section AwarenessAI93
    Flow ContinuityAI93
    PayoffAI96

    ENERGY

    Did you control the room?

    20%89
    Energy Curvemeasured94
    PacingAI91
    MomentumAI95
    Peak ManagementAI92
    Energy HandoffAI91
    Fatigue ControlAI55

    SURPRISE

    Did you remain unpredictable?

    15%84
    Unexpected MomentsAI83
    ContrastAI87
    Transition Varietymeasured93
    Selection RiskAI88
    FreshnessAI55
    Surprise ControlAI83

    IDENTITY

    Did the mix sound like you?

    15%94
    Selection QualityAI93
    Identity ConsistencyAI98
    IntentionalityAI95
    ConfidenceAI96
    RestraintAI85
    SignatureAI94

    Final score capped by measured execution (-) — weighted average was 89.

    Energy arc

    0:0076:30

    Transitions analysed (7)

    4:22

    32-bar EQ blend with low-end swap

    Perfectly executed transition that maintains the driving energy while introducing the new melodic theme.

    92
    8:45

    High-pass filter transition into breakdown

    Smooth energy handoff that uses the breakdown of the incoming track to reset the tension.

    88
    11:22

    High-energy drop swap

    Perfectly timed transition that maintains the peak energy of the set.

    92
    15:45

    Melodic blend during breakdown

    Smooth integration of new melodic elements during a tension-building phase.

    88
    20:10

    EQ-balanced rhythmic swap

    Clean handover of the low-end, ensuring no loss of drive.

    90
    24:12

    Long EQ blend with high-pass filter on outgoing track

    Perfectly executed transition into the vocal breakdown. The swap of the low-end is imperceptible.

    92
    28:45

    Drop-swap on the phrase

    High-energy switch that maintains the momentum. The incoming track's transient snap is well-aligned.

    85

    Technical subscores

    88

    EQ balance

    94

    Beat alignment

    90

    Energy control

    96

    Tempo stability

    89

    Loudness control

    91

    Musical coherence

    94

    Harmonic compatibility

    90

    Transition cleanliness

    Measured (DSP)

    18.3 ms

    Beat-grid drift (median)

    222 ms

    Drift p95

    4,578

    Boundaries detected

    76

    Hard cuts / h

    88

    Clipping events

    121

    Level jumps

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (2×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (47:00, 66:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:45Atmospheric Hook
    • 5:12First Major Drop
    • 13:50Euphoric Peak
    • 17:15Melodic Layering
    • 25:45Emotional Apex
    • 30:02Energy Plateau

    Coaching notes

    • Maintain the high technical standard shown in this segment.
    • Explore slightly more complex layering during breakdowns to further distinguish the artistic signature.
    • Ensure the energy transition into the next segment is as seamless as the ones within this block.
    • Experiment with live looping and effects during transitions.
    • Incorporate more atmospheric and diverse emotional themes.
    • Explore interactive elements to further enhance crowd connection.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Andrew Bayer's Andrew Bayer - Live At Ultra Music Festival 2015 get?
    Andrew Bayer - Live At Ultra Music Festival 2015 scores 87/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Andrew Bayer - Live At Ultra Music Festival 2015?
    The analysed recording runs 1h 17m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 94/100, while SURPRISE is the lowest at 84/100.
    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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