Cristian Vogel — SuperNova, Paris, April 29th 2016 Cristian Vogel

    Indie House · 50 min · analysed 22 Aug 2026 · source: soundcloud.com

    Overall score
    80/100
    Level
    club ready
    Duration
    50 min
    Genre
    Indie House

    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, Cristian Vogel.

    In short

    SuperNova, Paris, April 29th 2016 Cristian Vogel by Cristian Vogel scores 80/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (95/100) and the weakest is TECHNIQUE (55/100).

    This mix demonstrates that true energy comes from the relentless evolution of texture, not just the volume of the kick drum.

    Key takeaways

    What weakened the set

    • Long static loops (4×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (22:00, 28:00, 32:00, 36:00). Long loops kill dancefloor momentum.
    • Beat alignment needs work — typical drift of 48 ms — Measured median beat-grid drift is 48 ms across the transitions. Reference: pro ≤ 25 ms, needs work 30-42 ms, must be reworked > 42 ms. Above ~30 ms the kick flams and dancers feel the blend slipping.

    What to try next

    • Continue to explore the intersection of glitch textures and driving techno rhythms.
    • Experiment with even longer, more gradual filter sweeps to build extreme tension.
    • Consider introducing a very sparse, haunting vocal element to add a human dimension to the cold industrial soundscape.

    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.

    • 5:12Measured (DSP)94/100Listen at 5:12

      A flawless transition where the textures of Track A dissolve into the rhythm of Track B.

    • 12:15Measured (DSP)94/100Listen at 12:15

      A masterfully executed transition where the new rhythmic structure emerges organically from the previous track's textures.

    • 16:40Measured (DSP)90/100Listen at 16:40

      Clean handover of the low-end while maintaining high-frequency tension.

    • 21:45Measured (DSP)92/100Listen at 21:45

      A masterfully executed transition where the high-end textures of the incoming track gradually replace the outgoing ones.

    • 26:12Measured (DSP)88/100Listen at 26:12

      Clean handover of the low-end energy, maintaining the driving momentum of the set.

    About this indie house set

    SuperNova, Paris, April 29th 2016 Cristian Vogel is a indie house DJ set by Cristian Vogel, running 50 min. It was measured by the SOONOS multi-agent engine and scores 80/100 overall — club ready.

    The engine files this performance as “Promising”.

    This mix demonstrates that true energy comes from the relentless evolution of texture, not just the volume of the kick drum.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 95/100; the weakest is TECHNIQUE at 55/100.

    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 12 points, moving between 70 and 88 on the SOONOS energy scale — a narrow dynamic range across the set.

    5 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 1609.4 grid breaks per hour, with a median beat offset of 48 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

    This mix demonstrates that true energy comes from the relentless evolution of texture, not just the volume of the kick drum.

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%55
    Beat Alignmentmeasured33
    Transition Qualitymeasured81
    Phrase Accuracymeasured92
    EQ & Frequency Control (estimated)measured91
    Tempo Stability (estimated)measured93
    Technical Cleanlinessmeasured73

    STORYTELLING

    Did the mix go somewhere?

    25%90
    Narrative ArcAI93
    ProgressionAI89
    Tension & ReleaseAI87
    Section AwarenessAI91
    Flow ContinuityAI93
    PayoffAI82

    ENERGY

    Did you control the room?

    20%85
    Energy Curvemeasured84
    PacingAI93
    MomentumAI85
    Peak ManagementAI86
    Energy HandoffAI88
    Fatigue ControlAI62

    SURPRISE

    Did you remain unpredictable?

    15%87
    Unexpected MomentsAI87
    ContrastAI88
    Transition Varietymeasured95
    Selection RiskAI91
    FreshnessAI63
    Surprise ControlAI87

    IDENTITY

    Did the mix sound like you?

    15%95
    Selection QualityAI94
    Identity ConsistencyAI97
    IntentionalityAI96
    ConfidenceAI95
    RestraintAI92
    SignatureAI96

    Energy arc

    20:0040:00

    Transitions analysed (5)

    5:12

    Spectral morphing blend

    A flawless transition where the textures of Track A dissolve into the rhythm of Track B.

    94
    12:15

    Long spectral blend with percussive layering

    A masterfully executed transition where the new rhythmic structure emerges organically from the previous track's textures.

    94
    16:40

    High-pass filter sweep and rhythmic replacement

    Clean handover of the low-end while maintaining high-frequency tension.

    90
    21:45

    Long EQ blend with high-pass filtering

    A masterfully executed transition where the high-end textures of the incoming track gradually replace the outgoing ones.

    92
    26:12

    Bass swap on the phrase

    Clean handover of the low-end energy, maintaining the driving momentum of the set.

    88

    Technical subscores

    91

    EQ balance

    94

    Beat alignment

    89

    Energy control

    93

    Tempo stability

    89

    Loudness control

    92

    Musical coherence

    89

    Harmonic compatibility

    93

    Transition cleanliness

    Measured (DSP)

    48 ms

    Beat-grid drift (median)

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

    237 ms

    Drift p95

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

    2,994

    Boundaries detected

    Points where the audio changes track or section.

    19

    Hard cuts / h

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

    1

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    409

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 98% · analysed on the full audio.

    Recurring patterns

    • Long static loops (4×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (22:00, 28:00, 32:00, 36:00). Long loops kill dancefloor momentum.

    • Beat alignment needs work — typical drift of 48 ms

      Measured median beat-grid drift is 48 ms across the transitions. Reference: pro ≤ 25 ms, needs work 30-42 ms, must be reworked > 42 ms. Above ~30 ms the kick flams and dancers feel the blend slipping.

    Timeline

    • 14:50Rhythmic Complexity Peak
    • 18:20Tension Plateau

    Coaching notes

    • Continue to explore the intersection of glitch textures and driving techno rhythms.
    • Experiment with even longer, more gradual filter sweeps to build extreme tension.
    • Consider introducing a very sparse, haunting vocal element to add a human dimension to the cold industrial soundscape.
    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 Cristian Vogel's SuperNova, Paris, April 29th 2016 Cristian Vogel get?
    SuperNova, Paris, April 29th 2016 Cristian Vogel scores 80/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is SuperNova, Paris, April 29th 2016 Cristian Vogel?
    The analysed recording runs 50 min.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 95/100, while TECHNIQUE is the lowest at 55/100.
    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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