Identified PatientIdentified Patient & Gamma Intel at Dekmantel Selectors 2022

    Electro Techno · 2h 01m · analysed 23 Aug 2026

    Overall score
    82/100
    Level
    club ready
    Duration
    2h 01m
    Genre
    Electro Techno

    About this electro techno set

    Identified Patient & Gamma Intel at Dekmantel Selectors 2022 is a electro techno DJ set by Identified Patient, running 2h 01m. It was measured by the SOONOS multi-agent engine and scores 82/100 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 92/100; the weakest is TECHNIQUE at 76/100.

    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 43 points, moving between 30 and 94 on the SOONOS energy scale — a wide dynamic range across the set.

    4 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 895.7 grid breaks per hour, with a median beat offset of 25 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    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%76
    Beat Alignmentmeasured76
    Transition Qualitymeasured57
    Phrase Accuracymeasured90
    EQ & Frequency Control (estimated)measured83
    Tempo Stability (estimated)measured91
    Technical Cleanlinessmeasured57

    STORYTELLING

    Did the mix go somewhere?

    25%89
    Narrative ArcAI91
    ProgressionAI89
    Tension & ReleaseAI87
    Section AwarenessAI88
    Flow ContinuityAI91
    PayoffAI89

    ENERGY

    Did you control the room?

    20%83
    Energy Curvemeasured83
    PacingAI89
    MomentumAI92
    Peak ManagementAI86
    Energy HandoffAI90
    Fatigue ControlAI43

    SURPRISE

    Did you remain unpredictable?

    15%81
    Unexpected MomentsAI83
    ContrastAI79
    Transition Varietymeasured92
    Selection RiskAI87
    FreshnessAI42
    Surprise ControlAI83

    IDENTITY

    Did the mix sound like you?

    15%92
    Selection QualityAI93
    Identity ConsistencyAI96
    IntentionalityAI94
    ConfidenceAI92
    RestraintAI84
    SignatureAI94

    Final score capped by measured execution (-) — weighted average was 84.

    Energy arc

    0:00109:00

    Transitions analysed (4)

    4:12

    Long EQ blend, swapping low-end on the phrase.

    Masterful transition from atmosphere to rhythm.

    90
    12:45

    Long EQ blend with low-end swap

    Seamless transition between two percussive electro tracks. The low-end swap is perfectly timed on the phrase.

    92
    17:30

    Mid-range frequency handover

    Smooth transition focusing on the mid-range textures. The energy remains constant throughout the blend.

    88
    23:45

    Long EQ blend with sub-swap

    Perfectly executed handover. The transition is used to evolve the texture rather than just change the song.

    92

    Technical subscores

    83

    EQ balance

    89

    Beat alignment

    90

    Energy control

    91

    Tempo stability

    85

    Loudness control

    90

    Musical coherence

    81

    Harmonic compatibility

    85

    Transition cleanliness

    Measured (DSP)

    24.5 ms

    Beat-grid drift (median)

    219 ms

    Drift p95

    7,244

    Boundaries detected

    418

    Hard cuts / h

    61

    Clipping events

    1007

    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 (7:00, 13:00, 19:00, 24:00, 29:00, 44:00). Long loops kill dancefloor momentum.

    Timeline

    • 4:12The Drop
    • 8:45Percussive Peak
    • 26:15Groove Lock Peak

    Coaching notes

    • Continue to explore the intersection of dark ambient and industrial techno.
    • Experiment with more drastic EQ cuts to create rhythmic 'holes' in the mix.
    • Consider introducing a vocal element to provide a focal point amidst the machine-like textures.
    • Introduce a brief melodic or ambient break to provide contrast to the industrial grit.
    • Experiment with more extreme filter resonance during transitions to enhance the mechanical feel.
    • Incorporate more field recordings or non-musical samples to deepen the dystopian narrative.
    • Experiment with brief, high-tension breakdowns to create more dynamic contrast.
    • Incorporate more atmospheric, haunting elements to deepen the emotional impact.
    • Monitor high-frequency layering to avoid potential EQ clashes.
    • Maintain the exceptional energy and groove control demonstrated here.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Identified Patient's Identified Patient & Gamma Intel at Dekmantel Selectors 2022 get?
    Identified Patient & Gamma Intel at Dekmantel Selectors 2022 scores 82/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is Identified Patient & Gamma Intel at Dekmantel Selectors 2022?
    The analysed recording runs 2h 01m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 92/100, while TECHNIQUE 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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