Pan-PotPan-Pot @ 909 x Loveland Amsterdam 2019

    Peak Techno · 2h 02m · analysed 19 Aug 2026

    Overall score
    86/100
    Level
    festival ready
    Duration
    2h 02m
    Genre
    Peak Techno

    About this peak techno set

    Pan-Pot @ 909 x Loveland Amsterdam 2019 is a peak techno DJ set by Pan-Pot, running 2h 02m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.

    The engine files this performance as “Promising”.

    This DJ understands that in techno, the space between the sounds is just as important as the sounds themselves.

    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 82/100.

    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 37 points, moving between 40 and 95 on the SOONOS energy scale — a wide dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 388.3 grid breaks per hour, with a median beat offset of 23 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This DJ understands that in techno, the space between the sounds is just as important as the sounds themselves.

    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%83
    Beat Alignmentmeasured78
    Transition Qualitymeasured62
    Phrase Accuracymeasured94
    EQ & Frequency Control (estimated)measured91
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%90
    Narrative ArcAI92
    ProgressionAI90
    Tension & ReleaseAI87
    Section AwarenessAI90
    Flow ContinuityAI94
    PayoffAI91

    ENERGY

    Did you control the room?

    20%87
    Energy Curvemeasured82
    PacingAI90
    MomentumAI95
    Peak ManagementAI89
    Energy HandoffAI91
    Fatigue ControlAI66

    SURPRISE

    Did you remain unpredictable?

    15%82
    Unexpected MomentsAI81
    ContrastAI80
    Transition Varietymeasured93
    Selection RiskAI88
    FreshnessAI63
    Surprise ControlAI81

    IDENTITY

    Did the mix sound like you?

    15%93
    Selection QualityAI91
    Identity ConsistencyAI97
    IntentionalityAI94
    ConfidenceAI95
    RestraintAI85
    SignatureAI92

    Final score capped by measured execution (-) — weighted average was 87.

    Energy arc

    0:00121:00

    Transitions analysed (7)

    4:12

    Long EQ blend with low-end swap

    Perfectly executed transition that maintains the rolling energy while introducing new percussive textures.

    95
    7:45

    Texture layering and filter sweep

    A very smooth blend where the incoming track's atmosphere slowly overtakes the outgoing one.

    92
    11:35

    Perfect Handoff

    100
    16:22

    Minor EQ Overlap

    82
    20:45

    Surgical Cut

    strategic_disruption

    100
    22:45

    Long EQ blend with low-end swap

    Perfectly executed handover. The transition is felt rather than heard, maintaining the hypnotic state.

    94
    28:32

    Mid-range layering and filter fade

    Smooth introduction of new textures. The DJ uses the mid-frequencies to bridge the tracks effectively.

    88

    Technical subscores

    91

    EQ balance

    95

    Beat alignment

    92

    Energy control

    96

    Tempo stability

    91

    Loudness control

    92

    Musical coherence

    87

    Harmonic compatibility

    92

    Transition cleanliness

    Measured (DSP)

    23.1 ms

    Beat-grid drift (median)

    154.9 ms

    Drift p95

    7,298

    Boundaries detected

    181

    Hard cuts / h

    47

    Clipping events

    337

    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 (24:00, 30:00, 44:00, 50:00, 55:00, 63:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:45Atmospheric Hook
    • 5:20Groove Lock
    • 9:15Energy Peak
    • 24:50Groove Lock
    • 30:15Energy Peak

    Coaching notes

    • Maintain the industrial theme but explore different rhythmic syncopations.
    • Use more dramatic filter sweeps to signal upcoming structural changes.
    • Consider layering a subtle melodic pad to add emotional depth.
    • Ensure the high-end percussion doesn't become too piercing at high volumes.
    • Introduce more dramatic filter sweeps to punctuate the long blends.
    • Experiment with brief melodic elements to add emotional contrast.
    • Use short moments of silence to reset the energy before a major transition.
    • Introduce a brief melodic break to provide emotional contrast.
    • Experiment with more aggressive filter sweeps to signal transitions.
    • Thin out the mid-range slightly during peak layering to improve clarity.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Pan-Pot's Pan-Pot @ 909 x Loveland Amsterdam 2019 get?
    Pan-Pot @ 909 x Loveland Amsterdam 2019 scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Pan-Pot @ 909 x Loveland Amsterdam 2019?
    The analysed recording runs 2h 02m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 93/100, while SURPRISE is the lowest at 82/100.
    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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