Kölsch — Grand Park, Los Angeles - Feb 29 2020 [Factory 93]

    Melodic Techno · 2h 01m · analysed 19 Aug 2026 · source: soundcloud.com

    Overall score
    84/100
    Level
    club ready
    Duration
    2h 01m
    Genre
    Melodic 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, Kölsch.

    In short

    Grand Park, Los Angeles - Feb 29 2020 [Factory 93] by Kölsch scores 84/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (92/100) and the weakest is SURPRISE (79/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (6:00, 26:00, 85:00, 89:00, 93:00, 111:00). Long loops kill dancefloor momentum.

    What to try next

    • Continue to explore the balance between industrial percussion and melodic resolution in your closings.
    • Experiment with slightly more aggressive EQ cuts during transitions to add a touch of 'live' energy.
    • Maintain this level of narrative focus; it is your strongest asset.

    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.

    • 3:52Measured (DSP)94/100Listen at 3:52

      Perfectly executed transition where the new kick takes over without any phase cancellation or volume dip.

    • 8:14Measured (DSP)90/100Listen at 8:14

      Smooth integration of the incoming track's textures, using high-pass filters to keep the mix clean.

    • 25:12Measured (DSP)94/100Listen at 25:12

      A textbook example of a hypnotic techno transition. The incoming track's percussion is introduced so subtly it feels like a natural evolution of the current track.

    About this melodic techno set

    Grand Park, Los Angeles - Feb 29 2020 [Factory 93] is a melodic techno DJ set by Kölsch, running 2h 01m. It was measured by the SOONOS multi-agent engine and scores 84/100 overall — club 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 92/100; the weakest is SURPRISE at 79/100.

    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 36 points, moving between 30 and 91 on the SOONOS energy scale — a wide dynamic range across the set.

    5 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 1314.5 grid breaks per hour, with a median beat offset of 21 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%85
    Beat Alignmentmeasured81
    Transition Qualitymeasured73
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured90
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%89
    Narrative ArcAI92
    ProgressionAI89
    Tension & ReleaseAI84
    Section AwarenessAI90
    Flow ContinuityAI94
    PayoffAI85

    ENERGY

    Did you control the room?

    20%82
    Energy Curvemeasured81
    PacingAI90
    MomentumAI93
    Peak ManagementAI85
    Energy HandoffAI89
    Fatigue ControlAI35

    SURPRISE

    Did you remain unpredictable?

    15%79
    Unexpected MomentsAI82
    ContrastAI82
    Transition Varietymeasured93
    Selection RiskAI78
    FreshnessAI37
    Surprise ControlAI82

    IDENTITY

    Did the mix sound like you?

    15%92
    Selection QualityAI89
    Identity ConsistencyAI97
    IntentionalityAI93
    ConfidenceAI93
    RestraintAI90
    SignatureAI89

    Energy arc

    0:00119:30

    Transitions analysed (5)

    3:52

    Long EQ blend with low-end swap

    Perfectly executed transition where the new kick takes over without any phase cancellation or volume dip.

    94
    8:14

    Filter-led transition with mid-range layering

    Smooth integration of the incoming track's textures, using high-pass filters to keep the mix clean.

    90
    13:15

    Perfect Blend

    100
    18:40

    Seamless Handover

    100
    25:12

    Long EQ blend with low-end swap

    A textbook example of a hypnotic techno transition. The incoming track's percussion is introduced so subtly it feels like a natural evolution of the current track.

    94

    Technical subscores

    90

    EQ balance

    94

    Beat alignment

    89

    Energy control

    95

    Tempo stability

    89

    Loudness control

    91

    Musical coherence

    88

    Harmonic compatibility

    91

    Transition cleanliness

    Measured (DSP)

    21 ms

    Beat-grid drift (median)

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

    260 ms

    Drift p95

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

    7,234

    Boundaries detected

    Points where the audio changes track or section.

    63

    Hard cuts / h

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

    59

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    261

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (6:00, 26:00, 85:00, 89:00, 93:00, 111:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:45Atmospheric Hook
    • 10:20Groove Lock
    • 27:30Groove Lock Peak

    Coaching notes

    • Continue to explore the balance between industrial percussion and melodic resolution in your closings.
    • Experiment with slightly more aggressive EQ cuts during transitions to add a touch of 'live' energy.
    • Maintain this level of narrative focus; it is your strongest asset.
    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 Kölsch's Grand Park, Los Angeles - Feb 29 2020 [Factory 93] get?
    Grand Park, Los Angeles - Feb 29 2020 [Factory 93] scores 84/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is Grand Park, Los Angeles - Feb 29 2020 [Factory 93]?
    The analysed recording runs 2h 01m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 92/100, while SURPRISE is the lowest at 79/100.
    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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