Identified Patient — Bezdaren - Opening Set for Identified Patient at Club Pave - 28/02

    Electro Techno · 2h 01m · analysed 23 Aug 2026 · source: soundcloud.com

    Overall score
    78/100
    Level
    club ready
    Duration
    2h 01m
    Genre
    Electro Techno

    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, Identified Patient.

    In short

    Bezdaren - Opening Set for Identified Patient at Club Pave - 28/02 by Identified Patient scores 78/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (87/100) and the weakest is SURPRISE (77/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (30:00, 73:00, 77:00, 83:00, 97:00, 103:00). Long loops kill dancefloor momentum.

    What to try next

    • Experiment with more dramatic filter sweeps to create tension.
    • Incorporate occasional high-frequency stabs to punctuate the groove.
    • Ensure perfect level matching during extended overlaps.

    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.

    • 9:45Measured (DSP)82/100Listen at 9:45

      Strategic disruption

    • 13:45Measured (DSP)90/100Listen at 13:45

      Perfectly executed long blend where the percussive elements of both tracks complement each other.

    • 19:20Measured (DSP)85/100Listen at 19:20

      Clean low-end handover. The DJ waits for the natural phrase break to bring in the new groove.

    • 26:45Measured (DSP)85/100Listen at 26:45

      Smooth transition with excellent low-end management.

    About this electro techno set

    Bezdaren - Opening Set for Identified Patient at Club Pave - 28/02 is a electro techno DJ set by Identified Patient, running 2h 01m. It was measured by the SOONOS multi-agent engine and scores 78/100 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 87/100; the weakest is SURPRISE at 77/100.

    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 65 and 85 on the SOONOS energy scale — a moderate dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 1269.0 grid breaks per hour, with a median beat offset of 27 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.

    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%81
    Beat Alignmentmeasured69
    Transition Qualitymeasured75
    Phrase Accuracymeasured88
    EQ & Frequency Control (estimated)measured86
    Tempo Stability (estimated)measured91
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%84
    Narrative ArcAI87
    ProgressionAI84
    Tension & ReleaseAI79
    Section AwarenessAI84
    Flow ContinuityAI89
    PayoffAI77

    ENERGY

    Did you control the room?

    20%79
    Energy Curvemeasured76
    PacingAI86
    MomentumAI87
    Peak ManagementAI81
    Energy HandoffAI84
    Fatigue ControlAI49

    SURPRISE

    Did you remain unpredictable?

    15%77
    Unexpected MomentsAI78
    ContrastAI78
    Transition Varietymeasured88
    Selection RiskAI75
    FreshnessAI47
    Surprise ControlAI78

    IDENTITY

    Did the mix sound like you?

    15%87
    Selection QualityAI84
    Identity ConsistencyAI94
    IntentionalityAI86
    ConfidenceAI86
    RestraintAI87
    SignatureAI82

    Energy arc

    24:00119:00

    Transitions analysed (6)

    3:12

    Perfect Blend

    100
    6:45

    Seamless Handover

    100
    9:45

    Minor EQ Overlap

    strategic_disruption

    82
    13:45

    Long EQ blend

    Perfectly executed long blend where the percussive elements of both tracks complement each other.

    90
    19:20

    Bass swap on phrase

    Clean low-end handover. The DJ waits for the natural phrase break to bring in the new groove.

    85
    26:45

    Long EQ blend

    Smooth transition with excellent low-end management.

    85

    Technical subscores

    86

    EQ balance

    91

    Beat alignment

    85

    Energy control

    91

    Tempo stability

    84

    Loudness control

    87

    Musical coherence

    85

    Harmonic compatibility

    87

    Transition cleanliness

    Measured (DSP)

    27 ms

    Beat-grid drift (median)

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

    257 ms

    Drift p95

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

    7,232

    Boundaries detected

    Points where the audio changes track or section.

    57

    Hard cuts / h

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

    58

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    816

    Level jumps

    Sudden volume steps between tracks.

    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 (30:00, 73:00, 77:00, 83:00, 97:00, 103:00). Long loops kill dancefloor momentum.

    Timeline

    • 16:10Groove Lock
    • 22:40Atmospheric Shift
    • 28:30Energy Build

    Coaching notes

    • Experiment with more dramatic filter sweeps to create tension.
    • Incorporate occasional high-frequency stabs to punctuate the groove.
    • Ensure perfect level matching during extended overlaps.
    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 Identified Patient's Bezdaren - Opening Set for Identified Patient at Club Pave - 28/02 get?
    Bezdaren - Opening Set for Identified Patient at Club Pave - 28/02 scores 78/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is Bezdaren - Opening Set for Identified Patient at Club Pave - 28/02?
    The analysed recording runs 2h 01m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 87/100, while SURPRISE is the lowest at 77/100.
    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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