SOONOS

    SPFDJSPFDJ for Hessle Audio on Rinse FM 07.12.2017

    Hard Techno · 1h 01m · analysed 25 Aug 2026 · source: soundcloud.com

    Overall score
    84/100
    Level
    club ready
    Duration
    1h 01m
    Genre
    Hard 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, SPFDJ.

    In short

    SPFDJ for Hessle Audio on Rinse FM 07.12.2017 by SPFDJ scores 84/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (93/100) and the weakest is SURPRISE (80/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (4×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (31:00, 37:00, 41:00, 54:30). Long loops kill dancefloor momentum.

    What to try next

    • Introduce a brief melodic or atmospheric break to heighten the impact of the industrial drops.
    • Experiment with more radical EQ filtering to create temporary 'hollow' spaces in the mix.
    • Incorporate a recognizable vocal sample to provide a narrative anchor for the listener.

    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.

    • 2:15Measured (DSP)90/100Listen at 2:15

      Perfectly timed entry of the new kick, maintaining the driving pulse.

    • 5:12Measured (DSP)85/100Listen at 5:12

      Smooth transition of mid-range textures, creating a seamless evolution of the groove.

    • 8:34Measured (DSP)78/100Listen at 8:34

      A bold energy shift that slightly disrupts the hypnotic flow but adds urgency.

    • 16:55Measured (DSP)82/100Listen at 16:55

      Strategic disruption

    • 28:40Measured (DSP)100/100Listen at 28:40

      Intentional reset

    About this hard techno set

    SPFDJ for Hessle Audio on Rinse FM 07.12.2017 is a hard techno DJ set by SPFDJ, running 1h 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 93/100; the weakest is SURPRISE at 80/100.

    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 23 points, moving between 75 and 95 on the SOONOS energy scale — a moderate dynamic range across the set.

    10 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 663.5 grid breaks per hour, with a median beat offset of 19 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%86
    Beat Alignmentmeasured83
    Transition Qualitymeasured83
    Phrase Accuracymeasured91
    EQ & Frequency Control (estimated)measured85
    Tempo Stability (estimated)measured93
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%89
    Narrative ArcAI91
    ProgressionAI89
    Tension & ReleaseAI84
    Section AwarenessAI87
    Flow ContinuityAI93
    PayoffAI89

    ENERGY

    Did you control the room?

    20%84
    Energy Curvemeasured82
    PacingAI89
    MomentumAI93
    Peak ManagementAI87
    Energy HandoffAI92
    Fatigue ControlAI44

    SURPRISE

    Did you remain unpredictable?

    15%80
    Unexpected MomentsAI82
    ContrastAI77
    Transition Varietymeasured93
    Selection RiskAI86
    FreshnessAI41
    Surprise ControlAI82

    IDENTITY

    Did the mix sound like you?

    15%93
    Selection QualityAI93
    Identity ConsistencyAI98
    IntentionalityAI94
    ConfidenceAI95
    RestraintAI83
    SignatureAI95

    Energy arc

    0:0061:00

    Transitions analysed (10)

    2:15

    Percussive overlap with low-end swap

    Perfectly timed entry of the new kick, maintaining the driving pulse.

    90
    5:12

    Long EQ blend

    Smooth transition of mid-range textures, creating a seamless evolution of the groove.

    85
    8:34

    Quick cut on the downbeat

    A bold energy shift that slightly disrupts the hypnotic flow but adds urgency.

    78
    11:25

    Perfect EQ Blend

    100
    14:02

    Surgical Low-End Swap

    100
    16:55

    Minor Phase Drift

    strategic_disruption

    82
    19:40

    High-Energy Layering

    100
    20:45

    Perfect Blend

    100
    24:15

    Minor EQ Overlap

    82
    28:40

    Strategic Drop

    intentional_reset

    100

    Technical subscores

    85

    EQ balance

    91

    Beat alignment

    90

    Energy control

    93

    Tempo stability

    86

    Loudness control

    87

    Musical coherence

    81

    Harmonic compatibility

    86

    Transition cleanliness

    Measured (DSP)

    19 ms

    Beat-grid drift (median)

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

    202 ms

    Drift p95

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

    3,669

    Boundaries detected

    Points where the audio changes track or section.

    35

    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.

    116

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (4×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (31:00, 37:00, 41:00, 54:30). Long loops kill dancefloor momentum.

    Timeline

    • 0:45Sub-Bass Impact
    • 7:45Tension Peak
    • 8:34Risky pressure or vibe dip

    Coaching notes

    • Introduce a brief melodic or atmospheric break to heighten the impact of the industrial drops.
    • Experiment with more radical EQ filtering to create temporary 'hollow' spaces in the mix.
    • Incorporate a recognizable vocal sample to provide a narrative anchor for the listener.
    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 SPFDJ's SPFDJ for Hessle Audio on Rinse FM 07.12.2017 get?
    SPFDJ for Hessle Audio on Rinse FM 07.12.2017 scores 84/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is SPFDJ for Hessle Audio on Rinse FM 07.12.2017?
    The analysed recording runs 1h 01m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 93/100, while SURPRISE is the lowest at 80/100.
    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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