DJ StingrayBassiani invites Dj Stingray / Podcast #71

    Electro Techno · 2h 02m · analysed 22 Aug 2026

    Overall score
    87/100
    Level
    festival ready
    Duration
    2h 02m
    Genre
    Electro Techno

    About this electro techno set

    Bassiani invites Dj Stingray / Podcast #71 is a electro techno DJ set by DJ Stingray, running 2h 02m. 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 techno as a mechanical imperative—fast, cold, and physically undeniable.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 96/100; the weakest is TECHNIQUE at 83/100.

    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 54 points, moving between 82 and 96 on the SOONOS energy scale — a narrow dynamic range across the set.

    8 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 473.4 grid breaks per hour, with a median beat offset of 21 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This is techno as a mechanical imperative—fast, cold, and physically undeniable.

    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 Alignmentmeasured80
    Transition Qualitymeasured76
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured87
    Tempo Stability (estimated)measured90
    Technical Cleanlinessmeasured69

    STORYTELLING

    Did the mix go somewhere?

    25%93
    Narrative ArcAI94
    ProgressionAI93
    Tension & ReleaseAI90
    Section AwarenessAI93
    Flow ContinuityAI96
    PayoffAI94

    ENERGY

    Did you control the room?

    20%89
    Energy Curvemeasured84
    PacingAI94
    MomentumAI96
    Peak ManagementAI90
    Energy HandoffAI95
    Fatigue ControlAI65

    SURPRISE

    Did you remain unpredictable?

    15%87
    Unexpected MomentsAI87
    ContrastAI82
    Transition Varietymeasured96
    Selection RiskAI93
    FreshnessAI66
    Surprise ControlAI87

    IDENTITY

    Did the mix sound like you?

    15%96
    Selection QualityAI97
    Identity ConsistencyAI99
    IntentionalityAI98
    ConfidenceAI98
    RestraintAI86
    SignatureAI98

    Final score capped by measured execution (-) — weighted average was 89.

    Energy arc

    11:00121:44

    Transitions analysed (8)

    2:45

    Fast percussive layering

    Perfectly timed entry of a new rhythmic layer, enhancing the drive without clutter.

    95
    5:45

    EQ-based swap

    Smooth transition of the low-end, maintaining the physical pressure of the kick.

    92
    8:40

    Rhythmic cut-in

    Aggressive but precise introduction of a new lead element, typical of the Detroit style.

    89
    12:45

    Fast EQ swap, high-velocity blend

    Surgical Detroit-style transition. The handoff is immediate and maintains the driving momentum.

    90
    16:20

    Layered percussion blend

    Smooth integration of a new rhythmic pattern. The transition is felt more as an evolution of the groove.

    88
    20:15

    Rapid cut-in on the phrase

    A confident, quick transition that suits the high-energy Detroit style perfectly.

    85
    24:12

    Fast percussive blend

    Seamless integration of a new drum pattern that enhances the existing groove without a volume spike.

    90
    30:05

    EQ-led swap

    Quick low-end handover that maintains the physical pressure of the mix.

    88

    Technical subscores

    87

    EQ balance

    89

    Beat alignment

    93

    Energy control

    90

    Tempo stability

    89

    Loudness control

    93

    Musical coherence

    81

    Harmonic compatibility

    87

    Transition cleanliness

    Measured (DSP)

    21.2 ms

    Beat-grid drift (median)

    199.9 ms

    Drift p95

    7,286

    Boundaries detected

    72

    Hard cuts / h

    75

    Clipping events

    1310

    Level jumps

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Recurring mid-frequency clash

      Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 3× (8:40, 20:15, 30:05).

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (44:00, 48:00, 55:00, 60:00, 66:00, 70:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:00Atmospheric Foundation
    • 4:15Groove Lock
    • 10:20Energy Plateau
    • 14:20Industrial Texture Shift
    • 18:45Percussive Density Peak
    • 26:45Rhythmic Peak

    Coaching notes

    • Experiment with brief, high-pass filtered breakdowns to create tension before re-introducing the kick.
    • Use subtle melodic elements to add emotional depth to the industrial textures.
    • Maintain the current level of rhythmic complexity, as it is a key strength of the set.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does DJ Stingray's Bassiani invites Dj Stingray / Podcast #71 get?
    Bassiani invites Dj Stingray / Podcast #71 scores 87/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Bassiani invites Dj Stingray / Podcast #71?
    The analysed recording runs 2h 02m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 96/100, while TECHNIQUE 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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