Bart SkilsBart_Skils_@_Awakenings_Festival_28_06_2014

    Peak Techno · 1h 46m · Awakenings · analysed 21 Aug 2026

    Overall score
    85/100
    Level
    festival ready
    Duration
    1h 46m
    Genre
    Peak Techno

    About this peak techno set

    Bart_Skils_@_Awakenings_Festival_28_06_2014 is a peak techno DJ set by Bart Skils, running 1h 46m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.

    The engine files this performance as “Promising”.

    This DJ understands that at a festival, the groove is the most powerful tool for commanding a large crowd.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 92/100; 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 27 points, moving between 30 and 92 on the SOONOS energy scale — a wide dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 84.9 grid breaks per hour, with a median beat offset of 15 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This DJ understands that at a festival, the groove is the most powerful tool for commanding a large crowd.

    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%87
    Beat Alignmentmeasured88
    Transition Qualitymeasured76
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured90
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%90
    Narrative ArcAI91
    ProgressionAI89
    Tension & ReleaseAI85
    Section AwarenessAI90
    Flow ContinuityAI94
    PayoffAI90

    ENERGY

    Did you control the room?

    20%84
    Energy Curvemeasured79
    PacingAI90
    MomentumAI95
    Peak ManagementAI87
    Energy HandoffAI90
    Fatigue ControlAI47

    SURPRISE

    Did you remain unpredictable?

    15%81
    Unexpected MomentsAI82
    ContrastAI81
    Transition Varietymeasured92
    Selection RiskAI86
    FreshnessAI44
    Surprise ControlAI82

    IDENTITY

    Did the mix sound like you?

    15%92
    Selection QualityAI90
    Identity ConsistencyAI97
    IntentionalityAI93
    ConfidenceAI94
    RestraintAI85
    SignatureAI88

    Final score capped by measured execution (-) — weighted average was 87.

    Energy arc

    0:0059:00

    Transitions analysed (7)

    4:32

    Long EQ blend with low-end swap

    Perfectly executed transition that maintains the percussive momentum.

    92
    8:15

    Mid-frequency focused blend

    Smooth transition focusing on the rhythmic interplay between tracks.

    88
    13:22

    Long percussive blend with low-end swap

    Expertly executed handover. The new kick takes over the sub-frequencies without a single millisecond of phase cancellation.

    94
    17:45

    EQ-based layering

    Smooth transition where the mid-range of the new track is slowly introduced, creating a hybrid groove for 32 bars.

    89
    21:58

    Filter sweep and drop

    A classic techno transition using a high-pass filter on the outgoing track to make room for the incoming kick.

    85
    23:45

    Perfect Blend

    100
    27:45

    Surgical EQ Swap

    100

    Technical subscores

    90

    EQ balance

    94

    Beat alignment

    90

    Energy control

    95

    Tempo stability

    90

    Loudness control

    91

    Musical coherence

    86

    Harmonic compatibility

    91

    Transition cleanliness

    Measured (DSP)

    14.6 ms

    Beat-grid drift (median)

    34.9 ms

    Drift p95

    6,318

    Boundaries detected

    98

    Hard cuts / h

    21

    Clipping events

    269

    Level jumps

    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× (8:15, 21:58).

    • Long static loops (5×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (10:00, 13:30, 30:00, 47:00, 53:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Flawless technical execution
    • Exceptional groove continuity
    • Mature pacing and energy management

    Timeline

    • 3:15Groove Lock Established
    • 9:45Atmospheric Peak

    Coaching notes

    • Use more aggressive EQ cuts during transitions to create sharper rhythmic shifts.
    • Incorporate occasional vocal stabs or FX to provide 'ear candy' for the listener.
    • Experiment with slightly longer breakdowns to heighten the eventual drop impact.
    • Introduce more melodic contrast to break up the percussive density.
    • Experiment with longer, more dramatic breakdowns for festival impact.
    • Use vocal snippets to create more memorable 'hook' moments.
    • Vary the kick drum texture to maintain auditory freshness over long sets.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Bart Skils's Bart_Skils_@_Awakenings_Festival_28_06_2014 get?
    Bart_Skils_@_Awakenings_Festival_28_06_2014 scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Bart_Skils_@_Awakenings_Festival_28_06_2014?
    The analysed recording runs 1h 46m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 92/100, 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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