Indira PaganottoINDIRA PAGANOTTO : Tomorrowland @ Atmosphere Stage

    Hard Techno · 1h 59m · Tomorrowland · analysed 20 Aug 2026

    Overall score
    84/100
    Level
    club ready
    Duration
    1h 59m
    Genre
    Hard Techno

    About this hard techno set

    INDIRA PAGANOTTO : Tomorrowland @ Atmosphere Stage is a hard techno DJ set by Indira Paganotto, running 1h 59m. It was measured by the SOONOS multi-agent engine and scores 84/100 overall — club ready.

    The engine files this performance as “Promising”.

    The DJ's ability to maintain a relentless, high-octane groove while effectively managing energy levels is a testament to their professional skill.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 94/100; the weakest is TECHNIQUE at 77/100.

    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 27 points, moving between 80 and 96 on the SOONOS energy scale — a narrow dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 798.7 grid breaks per hour, with a median beat offset of 23 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    The DJ's ability to maintain a relentless, high-octane groove while effectively managing energy levels is a testament to their professional skill.

    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%77
    Beat Alignmentmeasured78
    Transition Qualitymeasured59
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured87
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured40

    STORYTELLING

    Did the mix go somewhere?

    25%92
    Narrative ArcAI93
    ProgressionAI93
    Tension & ReleaseAI89
    Section AwarenessAI91
    Flow ContinuityAI93
    PayoffAI96

    ENERGY

    Did you control the room?

    20%86
    Energy Curvemeasured86
    PacingAI90
    MomentumAI95
    Peak ManagementAI92
    Energy HandoffAI94
    Fatigue ControlAI45

    SURPRISE

    Did you remain unpredictable?

    15%83
    Unexpected MomentsAI84
    ContrastAI83
    Transition Varietymeasured95
    Selection RiskAI90
    FreshnessAI47
    Surprise ControlAI84

    IDENTITY

    Did the mix sound like you?

    15%94
    Selection QualityAI93
    Identity ConsistencyAI98
    IntentionalityAI96
    ConfidenceAI97
    RestraintAI80
    SignatureAI96

    Final score capped by measured execution (-) — weighted average was 86.

    Energy arc

    24:00119:00

    Transitions analysed (7)

    3:42

    EQ-based low-end swap

    Perfectly timed bass handover, maintaining the driving momentum.

    90
    8:15

    Filter sweep and drop swap

    High-pass filter used to build tension before dropping into the next track's main groove.

    85
    13:45

    Perfect Blend

    100
    17:20

    Minor EQ Overlap

    strategic_disruption

    82
    21:25

    Power Swap

    100
    25:45

    Long EQ blend with high-pass filtering

    Smooth introduction of the next track's percussion while maintaining the current groove.

    92
    29:12

    Drop swap on phrase

    High-impact transition that perfectly aligns the energy peak of both tracks.

    95

    Technical subscores

    87

    EQ balance

    94

    Beat alignment

    93

    Energy control

    96

    Tempo stability

    87

    Loudness control

    89

    Musical coherence

    85

    Harmonic compatibility

    88

    Transition cleanliness

    Measured (DSP)

    22.6 ms

    Beat-grid drift (median)

    196.8 ms

    Drift p95

    7,145

    Boundaries detected

    297

    Hard cuts / h

    25

    Clipping events

    582

    Level jumps

    Measurement confidence 99% · analysed on the full audio.

    Recurring patterns

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (30:00, 38:42, 60:00, 64:00, 70:00, 107:00). Long loops kill dancefloor momentum.

    Timeline

    • 28:15Psy-Techno Pivot

    Coaching notes

    • Experiment with more varied melodic textures to add depth to the mix.
    • Utilize longer, more gradual builds to further heighten the impact of drops.
    • Incorporate more recognizable vocal hooks to further engage the audience.
    • Ensure that the overall loudness is balanced to avoid listener fatigue.
    • Experiment with more complex FX layering during transitions.
    • Incorporate tracks with more organic percussive textures to contrast the industrial elements.
    • Use longer, more atmospheric breakdowns to heighten the impact of the drops.
    • Ensure the master EQ is adjusted to mitigate harshness at peak energy levels.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Indira Paganotto's INDIRA PAGANOTTO : Tomorrowland @ Atmosphere Stage get?
    INDIRA PAGANOTTO : Tomorrowland @ Atmosphere Stage scores 84/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is INDIRA PAGANOTTO : Tomorrowland @ Atmosphere Stage?
    The analysed recording runs 1h 59m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 94/100, while TECHNIQUE is the lowest at 77/100.
    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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