Dax JDax J Closing Set @ Awakenings Festival 25th Anniversary Easter 2022

    Hard Techno · 1h 45m · Awakenings · analysed 22 Aug 2026

    Overall score
    88/100
    Level
    festival ready
    Duration
    1h 45m
    Genre
    Hard Techno

    About this hard techno set

    Dax J Closing Set @ Awakenings Festival 25th Anniversary Easter 2022 is a hard techno DJ set by Dax J, running 1h 45m. It was measured by the SOONOS multi-agent engine and scores 88/100 overall — festival ready.

    The engine files this performance as “Promising”.

    The DJ uses percussion as a narrative tool, building a story through rhythmic complexity rather than melody.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 95/100; the weakest is SURPRISE at 84/100.

    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 24 points, moving between 85 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 158.6 grid breaks per hour, with a median beat offset of 20 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    The DJ uses percussion as a narrative tool, building a story through rhythmic complexity rather than melody.

    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%89
    Beat Alignmentmeasured81
    Transition Qualitymeasured90
    Phrase Accuracymeasured94
    EQ & Frequency Control (estimated)measured88
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%93
    Narrative ArcAI94
    ProgressionAI94
    Tension & ReleaseAI90
    Section AwarenessAI93
    Flow ContinuityAI95
    PayoffAI96

    ENERGY

    Did you control the room?

    20%87
    Energy Curvemeasured86
    PacingAI92
    MomentumAI97
    Peak ManagementAI93
    Energy HandoffAI95
    Fatigue ControlAI46

    SURPRISE

    Did you remain unpredictable?

    15%84
    Unexpected MomentsAI86
    ContrastAI82
    Transition Varietymeasured96
    Selection RiskAI92
    FreshnessAI43
    Surprise ControlAI86

    IDENTITY

    Did the mix sound like you?

    15%95
    Selection QualityAI95
    Identity ConsistencyAI99
    IntentionalityAI97
    ConfidenceAI98
    RestraintAI86
    SignatureAI96

    Final score capped by measured execution (-) — weighted average was 90.

    Energy arc

    0:00105:00

    Transitions analysed (7)

    2:25

    EQ-matched blend

    Seamless transition into a heavier percussive track.

    92
    6:22

    Fast layering

    Quick introduction of new rhythmic elements.

    85
    9:55

    Long EQ blend

    Smooth handover of high frequencies.

    90
    13:12

    Fast EQ swap on the 1

    Seamless transition that maintains the percussive drive.

    90
    18:45

    Long blend with vocal layering

    Expertly timed entry of the vocal hook over the existing groove.

    92
    24:12

    Fast EQ swap on the 1

    Aggressive but perfectly timed transition that maintains the driving energy.

    90
    29:12

    Layered blend with high-pass filtering

    Smooth integration of new percussive elements before a full bass swap.

    82

    Technical subscores

    88

    EQ balance

    94

    Beat alignment

    94

    Energy control

    96

    Tempo stability

    91

    Loudness control

    91

    Musical coherence

    84

    Harmonic compatibility

    88

    Transition cleanliness

    Measured (DSP)

    20.1 ms

    Beat-grid drift (median)

    42.8 ms

    Drift p95

    6,310

    Boundaries detected

    27

    Hard cuts / h

    47

    Clipping events

    100

    Level jumps

    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 (14:00, 20:00, 25:00, 31:00, 94:00, 99:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Rhythmic precision
    • Energy management
    • Identity consistency

    Timeline

    • 0:45Energy Foundation
    • 7:15Groove Lock
    • 18:25Vocal Entry
    • 20:10Drop Post-Breakdown
    • 27:30Groove Lock

    Coaching notes

    • Experiment with brief 'silent drops' to reset the crowd's ears.
    • Incorporate more syncopated percussion to contrast the straight 4/4 drive.
    • Monitor high-end gain during triple-track layering.
    • Continue exploring the use of silence and micro-breaks to enhance the impact of the driving kicks.
    • Maintain the high-frequency clarity to ensure the industrial elements don't become muddy in large spaces.
    • Consider a brief atmospheric interlude to provide a moment of reflection before the final peak.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Dax J's Dax J Closing Set @ Awakenings Festival 25th Anniversary Easter 2022 get?
    Dax J Closing Set @ Awakenings Festival 25th Anniversary Easter 2022 scores 88/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Dax J Closing Set @ Awakenings Festival 25th Anniversary Easter 2022?
    The analysed recording runs 1h 45m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 95/100, while SURPRISE is the lowest at 84/100.
    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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