Wreckno — WRECKNO & SUPER FUTURE'S ASS THROWERS ANONYMOUS: SESSION 01

    Bass House · 1h 24m · analysed 26 Aug 2026 · source: soundcloud.com

    Overall score
    79/100
    Level
    club ready
    Duration
    1h 24m
    Genre
    Bass House

    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, Wreckno.

    In short

    WRECKNO & SUPER FUTURE'S ASS THROWERS ANONYMOUS: SESSION 01 by Wreckno scores 79/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (85/100) and the weakest is ENERGY (78/100).

    The DJ's confidence in energy management is their greatest asset.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (26:00, 30:00, 34:00, 36:00, 40:00, 48:00). Long loops kill dancefloor momentum.

    What to try next

    • Refine gain staging to avoid sudden volume jumps during fast cuts.
    • Incorporate more mid-range EQ carving to allow vocals to sit cleaner over heavy bass.
    • Experiment with longer, atmospheric bridges to add narrative depth between high-energy segments.
    • Refine EQ swaps during fast transitions to avoid mid-range clutter.

    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.

    About this bass house set

    WRECKNO & SUPER FUTURE'S ASS THROWERS ANONYMOUS: SESSION 01 is a bass house DJ set by Wreckno, running 1h 24m. It was measured by the SOONOS multi-agent engine and scores 79/100 overall — club ready.

    The engine files this performance as “Promising”.

    The DJ's confidence in energy management is their greatest asset.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 85/100; the weakest is ENERGY at 78/100.

    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 35 points, moving between 60 and 95 on the SOONOS energy scale — a moderate dynamic range across the set.

    8 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 751.2 grid breaks per hour, with a median beat offset of 22 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 DJ's confidence in energy management is their greatest asset.

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%78
    Beat Alignmentmeasured79
    Transition Qualitymeasured58
    Phrase Accuracymeasured86
    EQ & Frequency Control (estimated)measured80
    Tempo Stability (estimated)measured89
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%83
    Narrative ArcAI84
    ProgressionAI80
    Tension & ReleaseAI80
    Section AwarenessAI82
    Flow ContinuityAI82
    PayoffAI90

    ENERGY

    Did you control the room?

    20%78
    Energy Curvemeasured77
    PacingAI77
    MomentumAI88
    Peak ManagementAI85
    Energy HandoffAI86
    Fatigue ControlAI42

    SURPRISE

    Did you remain unpredictable?

    15%78
    Unexpected MomentsAI83
    ContrastAI74
    Transition Varietymeasured90
    Selection RiskAI81
    FreshnessAI41
    Surprise ControlAI83

    IDENTITY

    Did the mix sound like you?

    15%85
    Selection QualityAI85
    Identity ConsistencyAI91
    IntentionalityAI86
    ConfidenceAI90
    RestraintAI69
    SignatureAI85

    Energy arc

    0:0084:00

    Transitions analysed (8)

    0:45

    Perfect Blend

    100
    4:15

    Minor EQ Overlap

    intentional_reset

    82
    7:30

    Clean Cut

    100
    10:20

    Noticeable Level Jump

    strategic_disruption

    64
    12:34

    Perfect Blend

    100
    16:22

    Minor EQ Overlap

    82
    20:45

    Precise Cut

    intentional_reset

    100
    25:45

    Quick cut on the drop

    High-impact swap that perfectly aligns with the rhythmic shift.

    85

    Technical subscores

    80

    EQ balance

    88

    Beat alignment

    85

    Energy control

    89

    Tempo stability

    82

    Loudness control

    81

    Musical coherence

    78

    Harmonic compatibility

    82

    Transition cleanliness

    Measured (DSP)

    22 ms

    Beat-grid drift (median)

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

    214 ms

    Drift p95

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

    5,033

    Boundaries detected

    Points where the audio changes track or section.

    169

    Hard cuts / h

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

    185

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    901

    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 (26:00, 30:00, 34:00, 36:00, 40:00, 48:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:45Intro Drop
    • 6:20Level Spike
    • 8:15Vocal Mashup
    • 10:20Risky pressure or vibe dip
    • 28:15Energy Peak

    Coaching notes

    • Refine gain staging to avoid sudden volume jumps during fast cuts.
    • Incorporate more mid-range EQ carving to allow vocals to sit cleaner over heavy bass.
    • Experiment with longer, atmospheric bridges to add narrative depth between high-energy segments.
    • Refine EQ swaps during fast transitions to avoid mid-range clutter.
    • Incorporate more melodic elements to add emotional depth.
    • Use filter sweeps to smooth out abrupt vibe shifts.
    • Incorporate more dynamic range by allowing breakdowns to breathe longer.
    • Experiment with harmonic mixing to create more 'musical' transitions between heavy tracks.
    • Use more mid-range EQ carving to ensure vocal clarity during dense layering.
    • Introduce a 'reset' track with a different rhythmic signature to refresh the crowd's ears.
    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 Wreckno's WRECKNO & SUPER FUTURE'S ASS THROWERS ANONYMOUS: SESSION 01 get?
    WRECKNO & SUPER FUTURE'S ASS THROWERS ANONYMOUS: SESSION 01 scores 79/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is WRECKNO & SUPER FUTURE'S ASS THROWERS ANONYMOUS: SESSION 01?
    The analysed recording runs 1h 24m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 85/100, while ENERGY is the lowest at 78/100.
    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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