I Hate ModelsI Hate Models - BBC Radio 1 Essential Mix (05-14-2022)

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

    Overall score
    85/100
    Level
    festival ready
    Duration
    1h 59m
    Genre
    Hard Techno

    About this hard techno set

    I Hate Models - BBC Radio 1 Essential Mix (05-14-2022) is a hard techno DJ set by I Hate Models, running 1h 59m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival 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 94/100; the weakest is SURPRISE at 82/100.

    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 36 points, moving between 75 and 96 on the SOONOS energy scale — a moderate dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 325.2 grid breaks per hour, with a median beat offset of 21 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    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%82
    Beat Alignmentmeasured81
    Transition Qualitymeasured62
    Phrase Accuracymeasured92
    EQ & Frequency Control (estimated)measured84
    Tempo Stability (estimated)measured93
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%92
    Narrative ArcAI93
    ProgressionAI93
    Tension & ReleaseAI91
    Section AwarenessAI91
    Flow ContinuityAI92
    PayoffAI95

    ENERGY

    Did you control the room?

    20%85
    Energy Curvemeasured87
    PacingAI91
    MomentumAI94
    Peak ManagementAI90
    Energy HandoffAI93
    Fatigue ControlAI33

    SURPRISE

    Did you remain unpredictable?

    15%82
    Unexpected MomentsAI86
    ContrastAI83
    Transition Varietymeasured93
    Selection RiskAI91
    FreshnessAI28
    Surprise ControlAI86

    IDENTITY

    Did the mix sound like you?

    15%94
    Selection QualityAI94
    Identity ConsistencyAI98
    IntentionalityAI96
    ConfidenceAI97
    RestraintAI84
    SignatureAI96

    Final score capped by measured execution (-) — weighted average was 87.

    Energy arc

    12:00118:00

    Transitions analysed (7)

    2:15

    Atmospheric Handoff

    strategic_disruption

    100
    5:12

    Percussive Layering

    82
    8:45

    Vocal Blend

    intentional_reset

    100
    14:34

    Perfect Phrase Match

    100
    18:40

    Minor EQ Overlap

    strategic_disruption

    82
    23:05

    Elite Energy Handoff

    100
    26:45

    EQ-based blend with high-pass filtering

    Smooth transition where the new percussion layers perfectly over the existing kick.

    85

    Technical subscores

    84

    EQ balance

    91

    Beat alignment

    93

    Energy control

    93

    Tempo stability

    86

    Loudness control

    89

    Musical coherence

    82

    Harmonic compatibility

    85

    Transition cleanliness

    Measured (DSP)

    20.6 ms

    Beat-grid drift (median)

    158.1 ms

    Drift p95

    7,098

    Boundaries detected

    226

    Hard cuts / h

    255

    Clipping events

    551

    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 (28:00, 34:00, 36:00, 41:30, 71:00, 76:00). Long loops kill dancefloor momentum.

    Timeline

    • 30:15Lead Entry

    Coaching notes

    • Continue to push the boundaries of industrial layering.
    • Experiment with brief, high-contrast melodic breaks to enhance the impact of the drops.
    • Maintain the high-velocity drive while ensuring mid-range clarity during dense mixes.
    • Experiment with brief moments of silence or ambient breaks to enhance the impact of the drops.
    • Use stereo-widening effects on the industrial textures to create a more immersive soundstage.
    • Incorporate more rhythmic variation in the sub-bass to prevent the groove from becoming too linear.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does I Hate Models's I Hate Models - BBC Radio 1 Essential Mix (05-14-2022) get?
    I Hate Models - BBC Radio 1 Essential Mix (05-14-2022) scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is I Hate Models - BBC Radio 1 Essential Mix (05-14-2022)?
    The analysed recording runs 1h 59m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 94/100, while SURPRISE is the lowest at 82/100.
    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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