Robin Schulz — Robin Schulz - Wenn Träume fliegen lernen [DJ-Mix]

    Commercial EDM · 1h 09m · analysed 25 Aug 2026 · source: soundcloud.com

    Overall score
    77/100
    Level
    solid
    Duration
    1h 09m
    Genre
    Commercial EDM

    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, Robin Schulz.

    In short

    Robin Schulz - Wenn Träume fliegen lernen [DJ-Mix] by Robin Schulz scores 77/100 in the SOONOS analysis (solid). The strongest dimension is IDENTITY (90/100) and the weakest is SURPRISE (75/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (2×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (46:00, 53:45). Long loops kill dancefloor momentum.

    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.

    • 4:12Measured (DSP)96/100Listen at 4:12

      Invisible transition where the incoming melody replaces the outgoing one without any phase clash.

    • 8:30Measured (DSP)94/100Listen at 8:30

      Perfectly timed handoff between two vocal tracks, maintaining the narrative energy.

    • 11:42Measured (DSP)94/100Listen at 11:42

      Extremely smooth transition where the incoming track's melody perfectly complements the outgoing bassline.

    • 15:15Measured (DSP)89/100Listen at 15:15

      Uses the vocal hook of the incoming track to bridge the gap, maintaining high energy.

    • 19:30Measured (DSP)91/100Listen at 19:30

      A high-impact transition that resets the energy for the final part of the segment.

    • 27:45Measured (DSP)82/100Listen at 27:45

      Intentional reset

    About this commercial edm set

    Robin Schulz - Wenn Träume fliegen lernen [DJ-Mix] is a commercial edm DJ set by Robin Schulz, running 1h 09m. It was measured by the SOONOS multi-agent engine and scores 77/100 overall — solid.

    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 90/100; the weakest is SURPRISE at 75/100.

    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 85 on the SOONOS energy scale — a narrow dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 367.0 grid breaks per hour, with a median beat offset of 15 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 Alignmentmeasured88
    Transition Qualitymeasured77
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured89
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured76

    STORYTELLING

    Did the mix go somewhere?

    25%84
    Narrative ArcAI88
    ProgressionAI82
    Tension & ReleaseAI77
    Section AwarenessAI86
    Flow ContinuityAI89
    PayoffAI84

    ENERGY

    Did you control the room?

    20%81
    Energy Curvemeasured88
    PacingAI84
    MomentumAI89
    Peak ManagementAI83
    Energy HandoffAI82
    Fatigue ControlAI39

    SURPRISE

    Did you remain unpredictable?

    15%75
    Unexpected MomentsAI73
    ContrastAI80
    Transition Varietymeasured92
    Selection RiskAI76
    FreshnessAI38
    Surprise ControlAI73

    IDENTITY

    Did the mix sound like you?

    15%90
    Selection QualityAI88
    Identity ConsistencyAI96
    IntentionalityAI90
    ConfidenceAI91
    RestraintAI81
    SignatureAI91

    Energy arc

    11:0056:30

    Transitions analysed (7)

    4:12

    Long melodic blend with high-pass filtering

    Invisible transition where the incoming melody replaces the outgoing one without any phase clash.

    96
    8:30

    Vocal-led phrase swap

    Perfectly timed handoff between two vocal tracks, maintaining the narrative energy.

    94
    11:42

    Long EQ blend with high-pass filter swap

    Extremely smooth transition where the incoming track's melody perfectly complements the outgoing bassline.

    94
    15:15

    Vocal-led phrase transition

    Uses the vocal hook of the incoming track to bridge the gap, maintaining high energy.

    89
    19:30

    Drop-on-drop energy handoff

    A high-impact transition that resets the energy for the final part of the segment.

    91
    23:45

    Perfect Blend

    100
    27:45

    Minor EQ Overlap

    intentional_reset

    82

    Technical subscores

    89

    EQ balance

    95

    Beat alignment

    86

    Energy control

    96

    Tempo stability

    89

    Loudness control

    88

    Musical coherence

    93

    Harmonic compatibility

    92

    Transition cleanliness

    Measured (DSP)

    15 ms

    Beat-grid drift (median)

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

    179 ms

    Drift p95

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

    4,111

    Boundaries detected

    Points where the audio changes track or section.

    75

    Hard cuts / h

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

    65

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    428

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (2×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (46:00, 53:45). Long loops kill dancefloor momentum.

    Timeline

    • 0:45Atmospheric Hook
    • 6:12Energy Pivot
    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 Robin Schulz's Robin Schulz - Wenn Träume fliegen lernen [DJ-Mix] get?
    Robin Schulz - Wenn Träume fliegen lernen [DJ-Mix] scores 77/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
    How long is Robin Schulz - Wenn Träume fliegen lernen [DJ-Mix]?
    The analysed recording runs 1h 09m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 90/100, while SURPRISE is the lowest at 75/100.
    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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