Bart SkilsBart Skils X Victor Ruiz @ Awakenings Festival [29 - 06 - 2019]_HD

    Peak Techno · 1h 59m · Awakenings · analysed 21 Aug 2026

    Overall score
    86/100
    Level
    festival ready
    Duration
    1h 59m
    Genre
    Peak Techno

    About this peak techno set

    Bart Skils X Victor Ruiz @ Awakenings Festival [29 - 06 - 2019]_HD is a peak techno DJ set by Bart Skils, running 1h 59m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.

    The engine files this performance as “Promising”.

    This mix treats transitions not as gaps between songs, but as opportunities to sculpt a continuous, evolving rhythmic landscape.

    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 81/100.

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

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 465.8 grid breaks per hour, with a median beat offset of 18 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This mix treats transitions not as gaps between songs, but as opportunities to sculpt a continuous, evolving rhythmic landscape.

    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%86
    Beat Alignmentmeasured84
    Transition Qualitymeasured71
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured91
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%91
    Narrative ArcAI93
    ProgressionAI90
    Tension & ReleaseAI87
    Section AwarenessAI90
    Flow ContinuityAI94
    PayoffAI92

    ENERGY

    Did you control the room?

    20%86
    Energy Curvemeasured83
    PacingAI91
    MomentumAI95
    Peak ManagementAI90
    Energy HandoffAI90
    Fatigue ControlAI56

    SURPRISE

    Did you remain unpredictable?

    15%81
    Unexpected MomentsAI81
    ContrastAI80
    Transition Varietymeasured92
    Selection RiskAI87
    FreshnessAI56
    Surprise ControlAI81

    IDENTITY

    Did the mix sound like you?

    15%93
    Selection QualityAI91
    Identity ConsistencyAI98
    IntentionalityAI94
    ConfidenceAI95
    RestraintAI86
    SignatureAI90

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

    Energy arc

    00:00118:49

    Transitions analysed (6)

    05:12

    Long EQ blend with low-end swap

    Perfectly executed transition that maintains the energy and groove seamlessly.

    92
    09:45

    Filter sweep and drop swap

    High-energy transition that uses a breakdown to reset the tension before dropping the next track.

    90
    13:50

    Long EQ blend with high-pass filtering

    Seamless integration of new percussive elements; the transition is felt rather than heard.

    92
    18:15

    Low-end swap on the downbeat

    Perfectly timed bass handover that maintains the physical pressure of the set.

    90
    21:45

    Mid-range layering into a breakdown

    Effective use of the incoming track's atmosphere to transition into a brief tension-building phase.

    85
    26:12

    Perfect Blend

    100

    Technical subscores

    91

    EQ balance

    95

    Beat alignment

    91

    Energy control

    96

    Tempo stability

    91

    Loudness control

    92

    Musical coherence

    87

    Harmonic compatibility

    92

    Transition cleanliness

    Measured (DSP)

    17.8 ms

    Beat-grid drift (median)

    225.8 ms

    Drift p95

    7,111

    Boundaries detected

    84

    Hard cuts / h

    79

    Clipping events

    187

    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 (2:00, 14:00, 22:00, 48:00, 54:30, 59:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Surgical EQ management
    • Flawless rhythmic momentum
    • Expert tension building

    Timeline

    • 08:30Breakdown Mastery
    • 05:12Seamless Flow
    • 15:30Groove Lock Peak
    • 19:45Subtle Energy Sag
    • 23:15Tension Masterclass

    Coaching notes

    • Experiment with longer, more cinematic breakdowns.
    • Incorporate more varied percussive textures to avoid monotony.
    • Use creative FX like delays and reverbs to add more depth to transitions.
    • Introduce a high-pass filter breakdown to create a moment of 'air' before the final 15 minutes.
    • Experiment with a slightly more dissonant melodic element to increase the tension.
    • Use a short, sharp vocal sample to provide a human anchor in the industrial landscape.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Bart Skils's Bart Skils X Victor Ruiz @ Awakenings Festival [29 - 06 - 2019]_HD get?
    Bart Skils X Victor Ruiz @ Awakenings Festival [29 - 06 - 2019]_HD scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Bart Skils X Victor Ruiz @ Awakenings Festival [29 - 06 - 2019]_HD?
    The analysed recording runs 1h 59m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 93/100, while SURPRISE 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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