Identified Patient — MR TC & Identified Patient RLR 27-10-2017

    Electro Techno · 1h 03m · analysed 23 Aug 2026 · source: soundcloud.com

    Overall score
    73/100
    Level
    solid
    Duration
    1h 03m
    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

    MR TC & Identified Patient RLR 27-10-2017 by Identified Patient scores 73/100 in the SOONOS analysis (solid). The strongest dimension is IDENTITY (92/100) and the weakest is TECHNIQUE (82/100).

    The DJ's restraint in the early stages allows the industrial textures to breathe and build a genuine sense of dread and excitement.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (12:00, 31:00, 35:00, 39:00, 42:00, 46:00). Long loops kill dancefloor momentum.

    What to try next

    • Experiment with brief moments of silence to resolve the sustained industrial tension.
    • Slightly boost the high-mid frequencies of the percussion for more rhythmic bite.
    • Introduce occasional melodic relief to provide contrast to the dark, rolling groove.
    • Experiment with more dramatic filter sweeps during breakdowns.

    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.

    • 3:12Measured (DSP)88/100Listen at 3:12

      Very smooth transition between two percussive tracks, maintaining the industrial groove perfectly.

    • 7:45Measured (DSP)82/100Listen at 7:45

      Effective layering of textures that increases the overall tension of the mix.

    • 10:45Measured (DSP)92/100Listen at 10:45

      Expertly executed transition that maintains the industrial groove perfectly.

    • 14:20Measured (DSP)88/100Listen at 14:20

      Smooth introduction of vocal elements that enhances the atmospheric tension.

    • 18:15Measured (DSP)85/100Listen at 18:15

      Clean and effective low-end handover that keeps the dancefloor locked.

    • 22:15Measured (DSP)92/100Listen at 22:15

      Perfectly executed handover; the new kick replaces the old one without any phase cancellation.

    • 25:10Measured (DSP)78/100Listen at 25:10

      Slight rhythmic tension as the two tracks overlap; sounds like a minor manual adjustment on vinyl.

    About this electro techno set

    MR TC & Identified Patient RLR 27-10-2017 is a electro techno DJ set by Identified Patient, running 1h 03m. It was measured by the SOONOS multi-agent engine and scores 73/100 overall — solid.

    The engine files this performance as “Promising”.

    The DJ's restraint in the early stages allows the industrial textures to breathe and build a genuine sense of dread and excitement.

    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 82/100.

    The final score is capped by measured beatmatching: 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 30 points, moving between 20 and 90 on the SOONOS energy scale — a wide dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 622.9 grid breaks per hour, with a median beat offset of 28 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.

    On this set, the ceiling applied is measured beatmatching.

    Measured coverage for this file is 100% of the set.

    Listen to the original set

    Full SOONOS analysis

    0

    The DJ's restraint in the early stages allows the industrial textures to breathe and build a genuine sense of dread and excitement.

    The 8 dimensions

    Not available — the 8-dimension profile was not measured for this set.

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%82
    Beat Alignmentmeasured65
    Transition Qualitymeasured85
    Phrase Accuracymeasured90
    EQ & Frequency Control (estimated)measured84
    Tempo Stability (estimated)measured90
    Technical Cleanlinessmeasured76

    STORYTELLING

    Did the mix go somewhere?

    25%88
    Narrative ArcAI91
    ProgressionAI87
    Tension & ReleaseAI85
    Section AwarenessAI87
    Flow ContinuityAI92
    PayoffAI81

    ENERGY

    Did you control the room?

    20%84
    Energy Curvemeasured81
    PacingAI88
    MomentumAI88
    Peak ManagementAI84
    Energy HandoffAI85
    Fatigue ControlAI72

    SURPRISE

    Did you remain unpredictable?

    15%82
    Unexpected MomentsAI81
    ContrastAI82
    Transition Varietymeasured91
    Selection RiskAI82
    FreshnessAI69
    Surprise ControlAI81

    IDENTITY

    Did the mix sound like you?

    15%92
    Selection QualityAI90
    Identity ConsistencyAI96
    IntentionalityAI92
    ConfidenceAI90
    RestraintAI89
    SignatureAI91

    Final score capped by measured beatmatching — the weighted average before the cap was 85.

    Energy arc

    0:0062:43

    Transitions analysed (7)

    3:12

    Long EQ blend with low-end swap

    Very smooth transition between two percussive tracks, maintaining the industrial groove perfectly.

    88
    7:45

    Mid-frequency layering

    Effective layering of textures that increases the overall tension of the mix.

    82
    10:45

    Long EQ blend with low-end swap

    Expertly executed transition that maintains the industrial groove perfectly.

    92
    14:20

    Mid-frequency blend with vocal layering

    Smooth introduction of vocal elements that enhances the atmospheric tension.

    88
    18:15

    EQ swap on the downbeat

    Clean and effective low-end handover that keeps the dancefloor locked.

    85
    22:15

    Long EQ blend, swapping lows at the 32-bar mark.

    Perfectly executed handover; the new kick replaces the old one without any phase cancellation.

    92
    25:10

    Extended layering of two percussive tracks.

    Slight rhythmic tension as the two tracks overlap; sounds like a minor manual adjustment on vinyl.

    78

    Technical subscores

    84

    EQ balance

    89

    Beat alignment

    85

    Energy control

    90

    Tempo stability

    83

    Loudness control

    90

    Musical coherence

    82

    Harmonic compatibility

    85

    Transition cleanliness

    Measured (DSP)

    28 ms

    Beat-grid drift (median)

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

    181 ms

    Drift p95

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

    3,746

    Boundaries detected

    Points where the audio changes track or section.

    13

    Hard cuts / h

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

    69

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    801

    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 (12:00, 31:00, 35:00, 39:00, 42:00, 46:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:45Intro to Groove Transition
    • 5:30Hypnotic Plateau
    • 12:30Groove Lock
    • 16:45Texture Peak
    • 20:10Narrative Shift
    • 28:15Vocal Loop Entry
    • 25:20Mid-Range Clutter
    • 25:10Risky pressure or vibe dip

    Coaching notes

    • Experiment with brief moments of silence to resolve the sustained industrial tension.
    • Slightly boost the high-mid frequencies of the percussion for more rhythmic bite.
    • Introduce occasional melodic relief to provide contrast to the dark, rolling groove.
    • Experiment with more dramatic filter sweeps during breakdowns.
    • Use short, rhythmic vocal loops to add a human element to the mechanical groove.
    • Consider a 'reset' moment with total silence for 1-2 beats to heighten the impact of a drop.
    • Continue exploring the intersection of broken rhythms and steady techno drives.
    • Experiment with even more extreme atmospheric contrasts to further heighten the emotional impact.
    • Consider a slightly more pronounced melodic resolution in the final minutes of a set.
    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 MR TC & Identified Patient RLR 27-10-2017 get?
    MR TC & Identified Patient RLR 27-10-2017 scores 73/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
    How long is MR TC & Identified Patient RLR 27-10-2017?
    The analysed recording runs 1h 03m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 92/100, while TECHNIQUE 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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