SolomunChristmas In Bed 2019

    Melodic Techno · 1h 02m · analysed 18 Aug 2026

    Overall score
    68/100
    Level
    developing
    Duration
    1h 02m
    Genre
    Melodic Techno

    About this melodic techno set

    Christmas In Bed 2019 is a melodic techno DJ set by Solomun, running 1h 02m. It was measured by the SOONOS multi-agent engine and scores 68/100 overall — developing.

    The engine files this performance as “Promising”.

    Your technical execution is pro-level, but your storytelling needs more 'chapters' to keep a dancefloor fully engaged.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is TECHNIQUE at 83/100; the weakest is ENERGY at 67/100.

    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 25 points, moving between 30 and 75 on the SOONOS energy scale — a wide dynamic range across the set.

    8 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 866.9 grid breaks per hour, with a median beat offset of 12 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    Your technical execution is pro-level, but your storytelling needs more 'chapters' to keep a dancefloor fully engaged.

    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%83
    Beat Alignmentmeasured91
    Transition Qualitymeasured80
    Phrase Accuracymeasured80
    EQ & Frequency Control (estimated)measured78
    Tempo Stability (estimated)measured87
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%71
    Narrative ArcAI77
    ProgressionAI69
    Tension & ReleaseAI64
    Section AwarenessAI73
    Flow ContinuityAI78
    PayoffAI63

    ENERGY

    Did you control the room?

    20%67
    Energy Curvemeasured70
    PacingAI69
    MomentumAI75
    Peak ManagementAI64
    Energy HandoffAI70
    Fatigue ControlAI39

    SURPRISE

    Did you remain unpredictable?

    15%68
    Unexpected MomentsAI66
    ContrastAI70
    Transition Varietymeasured85
    Selection RiskAI56
    FreshnessAI54
    Surprise ControlAI66

    IDENTITY

    Did the mix sound like you?

    15%76
    Selection QualityAI73
    Identity ConsistencyAI89
    IntentionalityAI72
    ConfidenceAI72
    RestraintAI79
    SignatureAI66

    Final score capped by measured execution (-) — weighted average was 73.

    Energy arc

    0:0052:00

    Transitions analysed (8)

    3:05

    32-bar EQ blend, low swap on phrase

    Seamless introduction of the next track's groove, perfectly aligned.

    92
    5:42

    Long melodic blend

    Smooth layering of synth elements, maintaining the hypnotic flow.

    85
    8:30

    EQ-focused frequency handover

    Clean transition with well-managed low-end swap.

    88
    10:45

    Long EQ blend

    Smooth integration of the incoming percussion loop over the outgoing bassline.

    82
    14:20

    Bass swap on phrase

    Perfectly timed low-end handover that maintains the groove without a dip.

    88
    19:15

    Quick EQ transition

    Slightly abrupt mid-range entry that momentarily clutters the mix.

    65
    24:15

    Long EQ blend, swapping lows at the phrase change.

    Very smooth transition, almost imperceptible track change.

    85
    28:15

    32-bar blend with gradual high-end introduction.

    Clean integration of the incoming track's melodic elements.

    82

    Technical subscores

    78

    EQ balance

    85

    Beat alignment

    72

    Energy control

    87

    Tempo stability

    76

    Loudness control

    76

    Musical coherence

    82

    Harmonic compatibility

    81

    Transition cleanliness

    Measured (DSP)

    11.8 ms

    Beat-grid drift (median)

    240.4 ms

    Drift p95

    3,722

    Boundaries detected

    16

    Hard cuts / h

    219

    Clipping events

    393

    Level jumps

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (1×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (15:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Technical transition cleanliness
    • Stylistic consistency
    • Patience and restraint

    Timeline

    • 0:00Atmospheric Opening
    • 3:05Seamless Groove Entry
    • 7:30Melodic Peak
    • 19:15Risky pressure or vibe dip
    • 24:15Seamless Handoff
    • 26:30Energy Plateau

    Coaching notes

    • Maintain the excellent narrative focus.
    • Experiment with more creative transition techniques.
    • Introduce more rhythmic variation to keep the energy dynamic.
    • Explore darker emotional textures for added contrast.
    • Incorporate more dynamic EQ work (e.g., filtering out the kick for 4 bars) to create mini-tensions.
    • Experiment with tracks that have more distinct melodic hooks to increase memorability.
    • Vary the transition lengths; while long blends are great for deep house, a few quicker swaps can inject energy.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Solomun's Christmas In Bed 2019 get?
    Christmas In Bed 2019 scores 68/100 in the SOONOS Mix Database (developing), based on audio measurement plus multi-agent listening.
    How long is Christmas In Bed 2019?
    The analysed recording runs 1h 02m.
    Which part of the mix scores best?
    TECHNIQUE is the strongest category at 83/100, while ENERGY is the lowest at 67/100.
    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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