Nina KravizExit festival closing 2017

    Experimental Techno · 2h 27m · Exit Festival · analysed 18 Aug 2026

    Overall score
    86/100
    Level
    festival ready
    Duration
    2h 27m
    Genre
    Experimental Techno

    About this experimental techno set

    Exit festival closing 2017 is a experimental techno DJ set by Nina Kraviz, running 2h 27m. 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 treats the mix as a continuous wall of sound, using subtle rhythmic shifts to maintain momentum without breaking the trance.

    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 83/100.

    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 71 points, moving between 40 and 96 on the SOONOS energy scale — a wide dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 293.3 grid breaks per hour, with a median beat offset of 25 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This DJ treats the mix as a continuous wall of sound, using subtle rhythmic shifts to maintain momentum without breaking the trance.

    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%84
    Beat Alignmentmeasured74
    Transition Qualitymeasured76
    Phrase Accuracymeasured94
    EQ & Frequency Control (estimated)measured90
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured79

    STORYTELLING

    Did the mix go somewhere?

    25%92
    Narrative ArcAI93
    ProgressionAI91
    Tension & ReleaseAI88
    Section AwarenessAI92
    Flow ContinuityAI95
    PayoffAI92

    ENERGY

    Did you control the room?

    20%87
    Energy Curvemeasured85
    PacingAI92
    MomentumAI95
    Peak ManagementAI90
    Energy HandoffAI92
    Fatigue ControlAI52

    SURPRISE

    Did you remain unpredictable?

    15%83
    Unexpected MomentsAI84
    ContrastAI83
    Transition Varietymeasured93
    Selection RiskAI86
    FreshnessAI54
    Surprise ControlAI84

    IDENTITY

    Did the mix sound like you?

    15%93
    Selection QualityAI91
    Identity ConsistencyAI97
    IntentionalityAI94
    ConfidenceAI95
    RestraintAI88
    SignatureAI91

    Final score capped by measured execution (-) — weighted average was 88.

    Energy arc

    0:00146:36

    Transitions analysed (7)

    5:20

    Long EQ blend with low-end handover

    Masterful transition where the sub-bass of the incoming track replaces the outgoing one so smoothly it feels like a single arrangement.

    95
    9:45

    Filter-assisted layering

    Uses a high-pass filter on the outgoing track to make room for the incoming groove's low-mids.

    92
    12:30

    Perfect Blend

    100
    16:30

    Seamless Handover

    100
    21:00

    Minor EQ Overlap

    strategic_disruption

    82
    24:15

    Long EQ blend with low-end swap

    Perfectly executed transition that maintains the groove without any audible dip.

    92
    29:25

    Layered percussive blend

    Smooth integration of new rhythmic elements, enhancing the overall drive.

    88

    Technical subscores

    90

    EQ balance

    94

    Beat alignment

    91

    Energy control

    95

    Tempo stability

    90

    Loudness control

    91

    Musical coherence

    86

    Harmonic compatibility

    89

    Transition cleanliness

    Measured (DSP)

    25.3 ms

    Beat-grid drift (median)

    117.1 ms

    Drift p95

    8,777

    Boundaries detected

    98

    Hard cuts / h

    41

    Clipping events

    398

    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 (0:00, 31:00, 45:00, 56:00, 66:00, 74:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Exceptional energy management
    • Technical precision in high-pressure blends
    • Deep understanding of crowd psychology

    Timeline

    • 0:30Atmospheric Hook
    • 7:45Groove Lock Peak
    • 27:45Groove Lock Peak

    Coaching notes

    • Experiment with more dramatic filter work.
    • Layer in subtle melodic elements to deepen the atmosphere.
    • Vary the length of breakdowns to keep the crowd guessing.
    • Experiment with longer, more dramatic filter sweeps to enhance tension.
    • Introduce a brief atmospheric breakdown to add emotional depth.
    • Monitor high-frequency levels during dense layering to avoid harshness.
    • Maintain the current level of technical precision.
    • Experiment with longer atmospheric breakdowns to enhance emotional payoff.
    • Continue to prioritize groove continuity over flashy transitions.
    • Continue to use long, transparent blends to maintain percussive hypnosis.
    • Experiment with subtle melodic teases earlier in the peak phase to enhance the final resolution.
    • Maintain the high-quality percussive layering that defines this segment's energy.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Nina Kraviz's Exit festival closing 2017 get?
    Exit festival closing 2017 scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Exit festival closing 2017?
    The analysed recording runs 2h 27m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 93/100, while SURPRISE is the lowest at 83/100.
    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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