Bart Skils — BART SKILS @ AWAKENINGS FESTIVAL AMSTERDAM 2022

    Peak Techno · 1h 25m · Awakenings · analysed 21 Aug 2026 · source: soundcloud.com

    Overall score
    86/100
    Level
    festival ready
    Duration
    1h 25m
    Genre
    Peak 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, Bart Skils.

    In short

    BART SKILS @ AWAKENINGS FESTIVAL AMSTERDAM 2022 by Bart Skils scores 86/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (93/100) and the weakest is SURPRISE (82/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (3×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (60:00, 67:30, 78:00). Long loops kill dancefloor momentum.

    What to try next

    • Experiment with longer, more dramatic filter sweeps during breakdowns to heighten tension.
    • Incorporate a 'reset' moment of near-silence to make the subsequent drop feel even more powerful.
    • Add a layer of organic percussion (e.g., shakers or congas) to soften the industrial edge and add swing.
    • Experiment with more dramatic filter sweeps during long blends to enhance tension.

    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.

    • 3:05Measured (DSP)96/100Listen at 3:05

      Perfectly executed transition that maintains the rolling momentum without a hint of phase drift.

    • 7:02Measured (DSP)92/100Listen at 7:02

      Smooth introduction of new percussive elements, enhancing the hypnotic state.

    • 10:48Measured (DSP)94/100Listen at 10:48

      High-impact transition that resets the energy for the next chapter of the set.

    • 13:12Measured (DSP)96/100Listen at 13:12

      Perfectly executed transition; the incoming kick replaces the outgoing one with zero audible dip in energy.

    • 17:25Measured (DSP)92/100Listen at 17:25

      Smooth integration of a vocal loop that bridges the two tracks, maintaining high tension.

    About this peak techno set

    BART SKILS @ AWAKENINGS FESTIVAL AMSTERDAM 2022 is a peak techno DJ set by Bart Skils, running 1h 25m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.

    The engine files this performance as “Promising”.

    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 82/100.

    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 23 points, moving between 40 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 1566.4 grid breaks per hour, with a median beat offset of 17 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 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%87
    Beat Alignmentmeasured86
    Transition Qualitymeasured73
    Phrase Accuracymeasured95
    EQ & Frequency Control (estimated)measured92
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%91
    Narrative ArcAI93
    ProgressionAI91
    Tension & ReleaseAI88
    Section AwarenessAI91
    Flow ContinuityAI95
    PayoffAI92

    ENERGY

    Did you control the room?

    20%86
    Energy Curvemeasured84
    PacingAI92
    MomentumAI96
    Peak ManagementAI88
    Energy HandoffAI93
    Fatigue ControlAI53

    SURPRISE

    Did you remain unpredictable?

    15%82
    Unexpected MomentsAI82
    ContrastAI84
    Transition Varietymeasured94
    Selection RiskAI87
    FreshnessAI50
    Surprise ControlAI82

    IDENTITY

    Did the mix sound like you?

    15%93
    Selection QualityAI91
    Identity ConsistencyAI97
    IntentionalityAI94
    ConfidenceAI95
    RestraintAI88
    SignatureAI92

    Energy arc

    0:0084:00

    Transitions analysed (7)

    3:05

    Long EQ blend with low-end swap on phrase

    Perfectly executed transition that maintains the rolling momentum without a hint of phase drift.

    96
    7:02

    Mid-range layering and filter sweep

    Smooth introduction of new percussive elements, enhancing the hypnotic state.

    92
    10:48

    Quick EQ swap on the drop

    High-impact transition that resets the energy for the next chapter of the set.

    94
    13:12

    Long EQ blend with low-end swap on phrase

    Perfectly executed transition; the incoming kick replaces the outgoing one with zero audible dip in energy.

    96
    17:25

    Filtered transition with mid-range layering

    Smooth integration of a vocal loop that bridges the two tracks, maintaining high tension.

    92
    26:15

    Perfect Blend

    100
    30:15

    Surgical EQ Swap

    100

    Technical subscores

    92

    EQ balance

    97

    Beat alignment

    92

    Energy control

    96

    Tempo stability

    93

    Loudness control

    94

    Musical coherence

    89

    Harmonic compatibility

    93

    Transition cleanliness

    Measured (DSP)

    17 ms

    Beat-grid drift (median)

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

    220 ms

    Drift p95

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

    5,055

    Boundaries detected

    Points where the audio changes track or section.

    77

    Hard cuts / h

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

    3

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    179

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (3×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (60:00, 67:30, 78:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:45Atmospheric Hook
    • 5:20Groove Lock Peak
    • 9:55Tension Plateau
    • 15:45Groove Lock Peak
    • 19:20Tension Reset

    Coaching notes

    • Experiment with longer, more dramatic filter sweeps during breakdowns to heighten tension.
    • Incorporate a 'reset' moment of near-silence to make the subsequent drop feel even more powerful.
    • Add a layer of organic percussion (e.g., shakers or congas) to soften the industrial edge and add swing.
    • Experiment with more dramatic filter sweeps during long blends to enhance tension.
    • Introduce subtle melodic motifs to add emotional depth to the industrial textures.
    • Consider a brief, high-contrast 'reset' moment to further emphasize the final peak.
    • Continue to refine the balance between sub-bass elements during dense layering.
    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 Bart Skils's BART SKILS @ AWAKENINGS FESTIVAL AMSTERDAM 2022 get?
    BART SKILS @ AWAKENINGS FESTIVAL AMSTERDAM 2022 scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is BART SKILS @ AWAKENINGS FESTIVAL AMSTERDAM 2022?
    The analysed recording runs 1h 25m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 93/100, while SURPRISE 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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