Pan-PotPAN-POT Tomorrowland 2014

    Peak Techno · 1h 59m · Tomorrowland · analysed 19 Aug 2026

    Overall score
    77/100
    Level
    solid
    Duration
    1h 59m
    Genre
    Peak Techno

    About this peak techno set

    PAN-POT Tomorrowland 2014 is a peak techno DJ set by Pan-Pot, running 1h 59m. It was measured by the SOONOS multi-agent engine and scores 77/100 overall — solid.

    The engine files this performance as “Promising”.

    Mastery of the 'rolling' techno sound requires a deep understanding of how subtle percussive shifts can sustain a crowd's hypnosis over long periods.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 93/100; the weakest is SURPRISE at 80/100.

    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 50 points, moving between 70 and 96 on the SOONOS energy scale — a moderate dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 280.3 grid breaks per hour, with a median beat offset of 27 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    Mastery of the 'rolling' techno sound requires a deep understanding of how subtle percussive shifts can sustain a crowd's hypnosis over long periods.

    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%81
    Beat Alignmentmeasured68
    Transition Qualitymeasured65
    Phrase Accuracymeasured94
    EQ & Frequency Control (estimated)measured92
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured76

    STORYTELLING

    Did the mix go somewhere?

    25%91
    Narrative ArcAI92
    ProgressionAI90
    Tension & ReleaseAI87
    Section AwarenessAI91
    Flow ContinuityAI94
    PayoffAI94

    ENERGY

    Did you control the room?

    20%85
    Energy Curvemeasured82
    PacingAI91
    MomentumAI96
    Peak ManagementAI91
    Energy HandoffAI92
    Fatigue ControlAI39

    SURPRISE

    Did you remain unpredictable?

    15%80
    Unexpected MomentsAI81
    ContrastAI81
    Transition Varietymeasured93
    Selection RiskAI89
    FreshnessAI37
    Surprise ControlAI81

    IDENTITY

    Did the mix sound like you?

    15%93
    Selection QualityAI92
    Identity ConsistencyAI97
    IntentionalityAI94
    ConfidenceAI96
    RestraintAI85
    SignatureAI90

    Final score capped by measured execution (-) — weighted average was 86.

    Energy arc

    12:00119:00

    Transitions analysed (6)

    6:15

    Long EQ blend with low-end swap on phrase

    Seamless integration of the incoming percussive loop; the swap is felt rather than heard.

    92
    9:52

    Progressive layering and high-pass filter exit

    The outgoing track fades out so naturally it feels like a planned arrangement change.

    89
    13:15

    Long EQ blend with low-end swap

    Textbook techno transition. The incoming kick replaces the outgoing one so smoothly it feels like a single track evolving.

    95
    18:22

    Filter sweep and drop alignment

    High-energy handoff. The DJ uses a high-pass filter on the outgoing track to build tension before dropping the full spectrum of the new track.

    92
    25:45

    Long EQ blend, low-end swap on phrase

    Seamless transition maintaining the driving percussive energy.

    92
    29:42

    Filter sweep and quick EQ swap

    Effective use of high-pass filter to build tension before the drop.

    85

    Technical subscores

    92

    EQ balance

    95

    Beat alignment

    92

    Energy control

    96

    Tempo stability

    92

    Loudness control

    90

    Musical coherence

    87

    Harmonic compatibility

    92

    Transition cleanliness

    Measured (DSP)

    27.2 ms

    Beat-grid drift (median)

    126.4 ms

    Drift p95

    7,130

    Boundaries detected

    246

    Hard cuts / h

    6

    Clipping events

    611

    Level jumps

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (20:00, 26:00, 30:00, 36:00, 42:45, 48:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Technical precision in mixing.
    • Exceptional groove continuity.
    • Effective energy management for large crowds.

    Timeline

    • 0:45The First Drop
    • 7:30Atmospheric Shift
    • 16:45Groove Evolution
    • 22:15Tension Peak
    • 26:30Groove Lock
    • 30:00Tension Peak

    Coaching notes

    • Introduce more melodic or atmospheric breaks to provide contrast to the percussive density.
    • Experiment with more varied transition techniques to add a layer of surprise.
    • Use subtle vocal stabs or FX to further define the set's identity.
    • Experiment with more subtle melodic variations to add depth.
    • Explore unconventional ways to build and release tension.
    • Incorporate more interactive elements to further engage the crowd.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Pan-Pot's PAN-POT Tomorrowland 2014 get?
    PAN-POT Tomorrowland 2014 scores 77/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
    How long is PAN-POT Tomorrowland 2014?
    The analysed recording runs 1h 59m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 93/100, while SURPRISE is the lowest at 80/100.
    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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