Themba — Themba's Herd In Ibiza

    House · 1h 37m · analysed 25 Aug 2026 · source: soundcloud.com

    Overall score
    81/100
    Level
    club ready
    Duration
    1h 37m
    Genre
    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, Themba.

    In short

    Themba's Herd In Ibiza by Themba scores 81/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (91/100) and the weakest is SURPRISE (78/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (9:45, 26:00, 32:00, 36:00, 47:30, 52:00). Long loops kill dancefloor momentum.

    What to try next

    • Experiment with more aggressive EQ cuts to create rhythmic 'stutter' effects.
    • Incorporate more live-sounding percussion elements to enhance the organic feel.
    • Use the high-pass filter more sparingly to maintain its impact as a tension tool.

    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.

    • 03:15Measured (DSP)94/100Listen at 03:15

      Perfectly executed handover of the rhythmic core.

    • 09:00Measured (DSP)92/100Listen at 09:00

      Seamless transition into a deeper bassline profile.

    • 14:45Measured (DSP)92/100Listen at 14:45

      A textbook Afro-House blend. The percussion from the new track is introduced so subtly it feels like a natural evolution of the current track.

    • 18:40Measured (DSP)85/100Listen at 18:40

      Clean transition, though a slight dip in mid-range energy was audible during the swap.

    • 25:30Measured (DSP)92/100Listen at 25:30

      Flawless integration of the incoming kick; the transition is almost imperceptible.

    About this house set

    Themba's Herd In Ibiza is a house DJ set by Themba, running 1h 37m. It was measured by the SOONOS multi-agent engine and scores 81/100 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 91/100; the weakest is SURPRISE 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 48 points, moving between 65 and 88 on the SOONOS energy scale — a moderate dynamic range across the set.

    5 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 217.5 grid breaks per hour, with a median beat offset of 17 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%88
    Beat Alignmentmeasured86
    Transition Qualitymeasured88
    Phrase Accuracymeasured91
    EQ & Frequency Control (estimated)measured86
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%85
    Narrative ArcAI89
    ProgressionAI85
    Tension & ReleaseAI80
    Section AwarenessAI86
    Flow ContinuityAI92
    PayoffAI80

    ENERGY

    Did you control the room?

    20%83
    Energy Curvemeasured81
    PacingAI88
    MomentumAI91
    Peak ManagementAI81
    Energy HandoffAI83
    Fatigue ControlAI64

    SURPRISE

    Did you remain unpredictable?

    15%78
    Unexpected MomentsAI77
    ContrastAI79
    Transition Varietymeasured93
    Selection RiskAI72
    FreshnessAI60
    Surprise ControlAI77

    IDENTITY

    Did the mix sound like you?

    15%91
    Selection QualityAI88
    Identity ConsistencyAI97
    IntentionalityAI89
    ConfidenceAI90
    RestraintAI92
    SignatureAI89

    Energy arc

    00:0095:00

    Transitions analysed (5)

    03:15

    Long percussive blend with high-pass filtering

    Perfectly executed handover of the rhythmic core.

    94
    09:00

    Harmonic EQ swap on the 32nd bar

    Seamless transition into a deeper bassline profile.

    92
    14:45

    Long EQ blend with high-pass filtering

    A textbook Afro-House blend. The percussion from the new track is introduced so subtly it feels like a natural evolution of the current track.

    92
    18:40

    Mid-range swap on the 32nd bar

    Clean transition, though a slight dip in mid-range energy was audible during the swap.

    85
    25:30

    Long EQ blend with low-end swap

    Flawless integration of the incoming kick; the transition is almost imperceptible.

    92

    Technical subscores

    86

    EQ balance

    93

    Beat alignment

    85

    Energy control

    95

    Tempo stability

    86

    Loudness control

    90

    Musical coherence

    89

    Harmonic compatibility

    89

    Transition cleanliness

    Measured (DSP)

    17 ms

    Beat-grid drift (median)

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

    81 ms

    Drift p95

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

    5,795

    Boundaries detected

    Points where the audio changes track or section.

    49

    Hard cuts / h

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

    157

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    237

    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 (9:45, 26:00, 32:00, 36:00, 47:30, 52:00). Long loops kill dancefloor momentum.

    Timeline

    • 02:45Melodic Bloom
    • 07:15Percussive Peak
    • 16:15Groove Synergy
    • 20:30Energy Plateau
    • 28:15Groove Lock

    Coaching notes

    • Experiment with more aggressive EQ cuts to create rhythmic 'stutter' effects.
    • Incorporate more live-sounding percussion elements to enhance the organic feel.
    • Use the high-pass filter more sparingly to maintain its impact as a tension tool.
    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 Themba's Themba's Herd In Ibiza get?
    Themba's Herd In Ibiza scores 81/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is Themba's Herd In Ibiza?
    The analysed recording runs 1h 37m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 91/100, while SURPRISE 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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