Nina Kraviz — Nina Kraviz @ Awakenings Eindhoven Area W 27.01.18

    Experimental Techno · 2h 04m · Awakenings · analysed 18 Aug 2026 · source: soundcloud.com

    Overall score
    85/100
    Level
    festival ready
    Duration
    2h 04m
    Genre
    Experimental 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, Nina Kraviz.

    In short

    Nina Kraviz @ Awakenings Eindhoven Area W 27.01.18 by Nina Kraviz scores 85/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (94/100) and the weakest is TECHNIQUE (81/100).

    The DJ's ability to maintain a relentless industrial groove while subtly evolving the narrative through long blends is a hallmark of professional mastery.

    Key takeaways

    What worked

    • Exceptional tension management and pressure building.
    • Highly coherent and immersive industrial narrative.
    • Technically proficient and creative long blends.

    What weakened the set

    • Recurring mid-frequency clash (2×) — Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (18:30, 28:05).
    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (8:00, 19:00, 24:00, 29:00, 34:00, 44:00). Long loops kill dancefloor momentum.

    What to try next

    • Experiment with subtle melodic elements to add emotional depth.
    • Use longer filter sweeps to create more dramatic tension peaks.
    • Monitor mid-range EQ more closely during three-deck layering.
    • Experiment with more complex layering to create even greater levels of tension and release.

    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.

    • 4:30Measured (DSP)92/100Listen at 4:30

      Masterful transition from noise to groove, perfectly timed.

    • 13:45Measured (DSP)88/100Listen at 13:45

      Seamless handover of the driving bassline, maintaining perfect groove continuity.

    • 18:30Measured (DSP)82/100Listen at 18:30

      Clean transition that introduces a new lead element while keeping the energy stable.

    • 23:30Measured (DSP)90/100Listen at 23:30

      Seamless introduction of new percussive elements.

    • 28:05Measured (DSP)82/100Listen at 28:05

      Aggressive transition that slightly jars but maintains energy.

    About this experimental techno set

    Nina Kraviz @ Awakenings Eindhoven Area W 27.01.18 is a experimental techno DJ set by Nina Kraviz, running 2h 04m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.

    The engine files this performance as “Promising”.

    The DJ's ability to maintain a relentless industrial groove while subtly evolving the narrative through long blends is a hallmark of professional mastery.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 94/100; the weakest is TECHNIQUE at 81/100.

    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 74 points, moving between 20 and 95 on the SOONOS energy scale — a wide dynamic range across the set.

    5 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 224.3 grid breaks per hour, with a median beat offset of 18 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 DJ's ability to maintain a relentless industrial groove while subtly evolving the narrative through long blends is a hallmark of professional mastery.

    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 Alignmentmeasured84
    Transition Qualitymeasured73
    Phrase Accuracymeasured89
    EQ & Frequency Control (estimated)measured83
    Tempo Stability (estimated)measured91
    Technical Cleanlinessmeasured59

    STORYTELLING

    Did the mix go somewhere?

    25%90
    Narrative ArcAI91
    ProgressionAI90
    Tension & ReleaseAI86
    Section AwarenessAI90
    Flow ContinuityAI93
    PayoffAI91

    ENERGY

    Did you control the room?

    20%88
    Energy Curvemeasured85
    PacingAI90
    MomentumAI94
    Peak ManagementAI89
    Energy HandoffAI90
    Fatigue ControlAI71

    SURPRISE

    Did you remain unpredictable?

    15%84
    Unexpected MomentsAI82
    ContrastAI82
    Transition Varietymeasured93
    Selection RiskAI88
    FreshnessAI69
    Surprise ControlAI82

    IDENTITY

    Did the mix sound like you?

    15%94
    Selection QualityAI93
    Identity ConsistencyAI98
    IntentionalityAI95
    ConfidenceAI96
    RestraintAI85
    SignatureAI94

    Energy arc

    0:00122:00

    Transitions analysed (5)

    4:30

    Long atmospheric blend into rhythmic industrial

    Masterful transition from noise to groove, perfectly timed.

    92
    13:45

    Long EQ blend with low-end swap

    Seamless handover of the driving bassline, maintaining perfect groove continuity.

    88
    18:30

    Mid-frequency swap on phrase

    Clean transition that introduces a new lead element while keeping the energy stable.

    82
    23:30

    Long EQ blend with high-pass filtering

    Seamless introduction of new percussive elements.

    90
    28:05

    Fast cut on the 1

    Aggressive transition that slightly jars but maintains energy.

    82

    Technical subscores

    83

    EQ balance

    90

    Beat alignment

    89

    Energy control

    91

    Tempo stability

    87

    Loudness control

    88

    Musical coherence

    80

    Harmonic compatibility

    84

    Transition cleanliness

    Measured (DSP)

    18 ms

    Beat-grid drift (median)

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

    97 ms

    Drift p95

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

    7,400

    Boundaries detected

    Points where the audio changes track or section.

    108

    Hard cuts / h

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

    21

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    418

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Recurring mid-frequency clash

      Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (18:30, 28:05).

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (8:00, 19:00, 24:00, 29:00, 34:00, 44:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Exceptional tension management and pressure building.
    • Highly coherent and immersive industrial narrative.
    • Technically proficient and creative long blends.

    Timeline

    • 4:30The Drop
    • 7:15Percussive Layering
    • 15:20Groove Lock Peak
    • 20:45Atmospheric Reset
    • 28:05Risky pressure or vibe dip

    Coaching notes

    • Experiment with subtle melodic elements to add emotional depth.
    • Use longer filter sweeps to create more dramatic tension peaks.
    • Monitor mid-range EQ more closely during three-deck layering.
    • Experiment with more complex layering to create even greater levels of tension and release.
    • Incorporate more unexpected elements and subtle melodic shifts to keep the listener engaged.
    • Continue to refine the use of effects during transitions to add further flair and personality.
    • Continue to explore the intersection of driving techno and acid elements.
    • Experiment with even more diverse sonic textures to further enrich the narrative.
    • Maintain the high level of energy and dancefloor focus.
    • Introduce a brief atmospheric breakdown to create more dynamic contrast.
    • Experiment with subtle melodic elements to add emotional depth to the industrial sound.
    • Maintain the high-precision EQ work during rapid track changes.
    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 Nina Kraviz's Nina Kraviz @ Awakenings Eindhoven Area W 27.01.18 get?
    Nina Kraviz @ Awakenings Eindhoven Area W 27.01.18 scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Nina Kraviz @ Awakenings Eindhoven Area W 27.01.18?
    The analysed recording runs 2h 04m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 94/100, while TECHNIQUE is the lowest at 81/100.
    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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