Mark Reeve — Transitions 615 John Digweed and Mark Reeve

    Peak Techno · 1h 56m · analysed 24 Aug 2026 · source: soundcloud.com

    Overall score
    87/100
    Level
    festival ready
    Duration
    1h 56m
    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, Mark Reeve.

    In short

    Transitions 615 John Digweed and Mark Reeve by Mark Reeve scores 87/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (94/100) and the weakest is SURPRISE (83/100).

    This is a masterclass in how to use long blends to create a seamless, hypnotic narrative.

    Key takeaways

    What worked

    • Technical invisibility
    • Narrative flow
    • Groove consistency

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 6:00, 10:00, 14:00, 19:00, 25:00). 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.

    • 3:58Measured (DSP)94/100Listen at 3:58

      Perfectly timed entry of the first track's percussion as the host finishes speaking.

    • 13:22Measured (DSP)95/100Listen at 13:22

      A textbook progressive blend. The transition is so gradual that the tracks become a single entity for over 64 bars.

    • 18:50Measured (DSP)92/100Listen at 18:50

      Excellent use of frequency space. The incoming track's mids are introduced while the outgoing track's highs are slowly filtered out.

    • 23:45Measured (DSP)96/100Listen at 23:45

      A masterclass in transparency; the new track emerges from the textures of the previous one without a seam.

    About this peak techno set

    Transitions 615 John Digweed and Mark Reeve is a peak techno DJ set by Mark Reeve, running 1h 56m. It was measured by the SOONOS multi-agent engine and scores 87/100 overall — festival ready.

    The engine files this performance as “Promising”.

    This is a masterclass in how to use long blends to create a seamless, hypnotic narrative.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 94/100; the weakest is SURPRISE at 83/100.

    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 41 points, moving between 20 and 89 on the SOONOS energy scale — a wide dynamic range across the set.

    4 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 272.0 grid breaks per hour, with a median beat offset of 13 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 is a masterclass in how to use long blends to create a seamless, hypnotic narrative.

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%91
    Beat Alignmentmeasured90
    Transition Qualitymeasured89
    Phrase Accuracymeasured94
    EQ & Frequency Control (estimated)measured92
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%90
    Narrative ArcAI93
    ProgressionAI91
    Tension & ReleaseAI87
    Section AwarenessAI91
    Flow ContinuityAI94
    PayoffAI84

    ENERGY

    Did you control the room?

    20%85
    Energy Curvemeasured84
    PacingAI94
    MomentumAI92
    Peak ManagementAI88
    Energy HandoffAI89
    Fatigue ControlAI48

    SURPRISE

    Did you remain unpredictable?

    15%83
    Unexpected MomentsAI84
    ContrastAI85
    Transition Varietymeasured94
    Selection RiskAI88
    FreshnessAI48
    Surprise ControlAI84

    IDENTITY

    Did the mix sound like you?

    15%94
    Selection QualityAI92
    Identity ConsistencyAI97
    IntentionalityAI95
    ConfidenceAI95
    RestraintAI93
    SignatureAI93

    Energy arc

    0:00115:00

    Transitions analysed (4)

    3:58

    Long EQ blend under voiceover

    Perfectly timed entry of the first track's percussion as the host finishes speaking.

    94
    13:22

    Long EQ blend with low-end swap

    A textbook progressive blend. The transition is so gradual that the tracks become a single entity for over 64 bars.

    95
    18:50

    Melodic layering and filter fade

    Excellent use of frequency space. The incoming track's mids are introduced while the outgoing track's highs are slowly filtered out.

    92
    23:45

    Long EQ blend with low-end swap on phrase

    A masterclass in transparency; the new track emerges from the textures of the previous one without a seam.

    96

    Technical subscores

    92

    EQ balance

    96

    Beat alignment

    90

    Energy control

    96

    Tempo stability

    91

    Loudness control

    93

    Musical coherence

    92

    Harmonic compatibility

    94

    Transition cleanliness

    Measured (DSP)

    13 ms

    Beat-grid drift (median)

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

    139 ms

    Drift p95

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

    6,949

    Boundaries detected

    Points where the audio changes track or section.

    34

    Hard cuts / h

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

    60

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    248

    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 (0:00, 6:00, 10:00, 14:00, 19:00, 25:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Technical invisibility
    • Narrative flow
    • Groove consistency

    Timeline

    • 0:45Host Engagement
    • 6:30Melodic Peak
    • 15:45Groove Lock
    • 22:30Atmospheric Peak
    • 23:15Voiceover Intro
    • 28:45Groove Peak
    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 Mark Reeve's Transitions 615 John Digweed and Mark Reeve get?
    Transitions 615 John Digweed and Mark Reeve scores 87/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Transitions 615 John Digweed and Mark Reeve?
    The analysed recording runs 1h 56m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 94/100, while SURPRISE is the lowest at 83/100.
    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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