Rødhåd — mnml ssgs special - Rødhåd

    Melodic Techno · 1h 08m · analysed 20 Aug 2026 · source: soundcloud.com

    Overall score
    73/100
    Level
    solid
    Duration
    1h 08m
    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, Rødhåd.

    In short

    mnml ssgs special - Rødhåd by Rødhåd scores 73/100 in the SOONOS analysis (solid). The strongest dimension is IDENTITY (95/100) and the weakest is TECHNIQUE (55/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (5×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (8:30, 45:00, 50:00, 56:00, 61:00). Long loops kill dancefloor momentum.

    What to try next

    • Continue to trust the long blends; they are your greatest technical asset.
    • Experiment with very subtle, high-frequency 'glitches' to add a layer of micro-detail.
    • Maintain the current level of sub-bass focus; it provides the mix's physical weight.
    • Continue to explore the boundaries of long-form layering.

    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.

    • 6:42Measured (DSP)95/100Listen at 6:42

      Perfectly timed introduction of the kick drum, emerging naturally from the noise.

    • 12:18Measured (DSP)95/100Listen at 12:18

      Incredibly smooth transition; the new rhythmic element enters so subtly it feels like part of the original track.

    • 17:42Measured (DSP)92/100Listen at 17:42

      The DJ uses the breakdown of the incoming track to mask the exit of the previous one perfectly.

    • 22:05Measured (DSP)89/100Listen at 22:05

      A clean transition that shifts the energy from a rolling groove to a more staccato rhythm.

    About this melodic techno set

    mnml ssgs special - Rødhåd is a melodic techno DJ set by Rødhåd, running 1h 08m. It was measured by the SOONOS multi-agent engine and scores 73/100 overall — solid.

    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 95/100; the weakest is TECHNIQUE at 55/100.

    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 25 points, moving between 20 and 88 on the SOONOS energy scale — a wide dynamic range across the set.

    5 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 2162.0 grid breaks per hour, with a median beat offset of 88 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%55
    Beat Alignmentmeasured15
    Transition Qualitymeasured81
    Phrase Accuracymeasured94
    EQ & Frequency Control (estimated)measured92
    Tempo Stability (estimated)measured97
    Technical Cleanlinessmeasured59

    STORYTELLING

    Did the mix go somewhere?

    25%91
    Narrative ArcAI94
    ProgressionAI91
    Tension & ReleaseAI87
    Section AwarenessAI92
    Flow ContinuityAI95
    PayoffAI83

    ENERGY

    Did you control the room?

    20%87
    Energy Curvemeasured84
    PacingAI95
    MomentumAI93
    Peak ManagementAI87
    Energy HandoffAI90
    Fatigue ControlAI63

    SURPRISE

    Did you remain unpredictable?

    15%86
    Unexpected MomentsAI85
    ContrastAI87
    Transition Varietymeasured96
    Selection RiskAI87
    FreshnessAI61
    Surprise ControlAI85

    IDENTITY

    Did the mix sound like you?

    15%95
    Selection QualityAI94
    Identity ConsistencyAI98
    IntentionalityAI96
    ConfidenceAI95
    RestraintAI94
    SignatureAI94

    Energy arc

    0:0067:40

    Transitions analysed (5)

    6:42

    Long EQ blend from ambient to rhythmic

    Perfectly timed introduction of the kick drum, emerging naturally from the noise.

    95
    12:18

    Long EQ blend with sub-bass swap

    Incredibly smooth transition; the new rhythmic element enters so subtly it feels like part of the original track.

    95
    17:42

    Textural layering and mid-frequency handover

    The DJ uses the breakdown of the incoming track to mask the exit of the previous one perfectly.

    92
    22:05

    Filter sweep and rhythmic replacement

    A clean transition that shifts the energy from a rolling groove to a more staccato rhythm.

    89
    25:15

    Perfect Blend

    100

    Technical subscores

    92

    EQ balance

    95

    Beat alignment

    91

    Energy control

    97

    Tempo stability

    90

    Loudness control

    94

    Musical coherence

    91

    Harmonic compatibility

    93

    Transition cleanliness

    Measured (DSP)

    88 ms

    Beat-grid drift (median)

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

    237 ms

    Drift p95

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

    4,044

    Boundaries detected

    Points where the audio changes track or section.

    9

    Hard cuts / h

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

    70

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    462

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 97% · analysed on the full audio.

    Recurring patterns

    • Long static loops (5×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (8:30, 45:00, 50:00, 56:00, 61:00). Long loops kill dancefloor momentum.

    Timeline

    • 6:45The Pulse Begins
    • 4:20Tension Peak
    • 14:50Atmospheric Peak
    • 20:15Rhythmic Shift

    Coaching notes

    • Continue to trust the long blends; they are your greatest technical asset.
    • Experiment with very subtle, high-frequency 'glitches' to add a layer of micro-detail.
    • Maintain the current level of sub-bass focus; it provides the mix's physical weight.
    • Continue to explore the boundaries of long-form layering.
    • Maintain the current balance of sub-bass and industrial textures.
    • Consider a very brief 'silence' moment to reset the listener's ear in the next segment.
    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 Rødhåd's mnml ssgs special - Rødhåd get?
    mnml ssgs special - Rødhåd scores 73/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
    How long is mnml ssgs special - Rødhåd?
    The analysed recording runs 1h 08m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 95/100, while TECHNIQUE is the lowest at 55/100.
    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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