Kevin de VriesKEVIN DE VRIES SUPPORT SET PRYSM 4.20.24 | WAREHOUSE COLLECTION VOL. 8

    Melodic Techno · 1h 45m · analysed 23 Aug 2026

    Overall score
    76/100
    Level
    solid
    Duration
    1h 45m
    Genre
    Melodic Techno

    About this melodic techno set

    KEVIN DE VRIES SUPPORT SET PRYSM 4.20.24 | WAREHOUSE COLLECTION VOL. 8 is a melodic techno DJ set by Kevin de Vries, running 1h 45m. It was measured by the SOONOS multi-agent engine and scores 76/100 overall — solid.

    The engine files this performance as “Promising”.

    The DJ's ability to maintain a hypnotic state while building significant pressure is a hallmark of professional mastery.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 88/100; the weakest is SURPRISE at 79/100.

    The final score is capped by measured bm: 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 22 points, moving between 40 and 92 on the SOONOS energy scale — a wide dynamic range across the set.

    8 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 469.3 grid breaks per hour, with a median beat offset of 28 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    The DJ's ability to maintain a hypnotic state while building significant pressure is a hallmark of professional mastery.

    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%83
    Beat Alignmentmeasured66
    Transition Qualitymeasured80
    Phrase Accuracymeasured91
    EQ & Frequency Control (estimated)measured88
    Tempo Stability (estimated)measured94
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%87
    Narrative ArcAI89
    ProgressionAI87
    Tension & ReleaseAI84
    Section AwarenessAI87
    Flow ContinuityAI90
    PayoffAI88

    ENERGY

    Did you control the room?

    20%82
    Energy Curvemeasured80
    PacingAI84
    MomentumAI91
    Peak ManagementAI86
    Energy HandoffAI88
    Fatigue ControlAI56

    SURPRISE

    Did you remain unpredictable?

    15%79
    Unexpected MomentsAI80
    ContrastAI79
    Transition Varietymeasured90
    Selection RiskAI80
    FreshnessAI54
    Surprise ControlAI80

    IDENTITY

    Did the mix sound like you?

    15%88
    Selection QualityAI87
    Identity ConsistencyAI95
    IntentionalityAI89
    ConfidenceAI91
    RestraintAI78
    SignatureAI85

    Final score capped by measured execution (bm) — weighted average was 84.

    Energy arc

    0:0092:00

    Transitions analysed (8)

    3:05

    EQ blend with high-pass filter

    Smooth transition, though slight mid-range overlap is audible.

    82
    6:35

    Low-end swap on phrase

    Flawless execution, energy handoff is perfect.

    92
    10:12

    Fast layering with high-pass sweep

    Aggressive blend, slight energy dip before the new track fully locks in.

    78
    14:20

    Perfect Blend

    100
    18:45

    Minor EQ Overlap

    82
    22:20

    Seamless Handover

    100
    23:45

    Perfect Blend

    100
    27:45

    Minor EQ Overlap

    82

    Technical subscores

    88

    EQ balance

    93

    Beat alignment

    89

    Energy control

    94

    Tempo stability

    87

    Loudness control

    90

    Musical coherence

    87

    Harmonic compatibility

    89

    Transition cleanliness

    Measured (DSP)

    28 ms

    Beat-grid drift (median)

    144.7 ms

    Drift p95

    6,268

    Boundaries detected

    74

    Hard cuts / h

    1

    Clipping events

    270

    Level jumps

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (3×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (47:00, 81:00, 86:45). Long loops kill dancefloor momentum.

    Timeline

    • 0:45Sub-Bass Impact
    • 5:00Filter Build Peak
    • 10:20Momentum Sag
    • 10:12Risky pressure or vibe dip

    Coaching notes

    • Use longer filter sweeps to build even more tension before melodic drops.
    • Layer percussive elements longer during energy resets to avoid momentum sags.
    • Incorporate more unique FX or vocal stabs to build a stronger artistic identity.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Kevin de Vries's KEVIN DE VRIES SUPPORT SET PRYSM 4.20.24 | WAREHOUSE COLLECTION VOL. 8 get?
    KEVIN DE VRIES SUPPORT SET PRYSM 4.20.24 | WAREHOUSE COLLECTION VOL. 8 scores 76/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
    How long is KEVIN DE VRIES SUPPORT SET PRYSM 4.20.24 | WAREHOUSE COLLECTION VOL. 8?
    The analysed recording runs 1h 45m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 88/100, while SURPRISE is the lowest at 79/100.
    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.

    More Kevin de Vries sets analysed

    Similar melodic techno sets

    All Kevin de Vries analyses

    Drop your mix. Explore your session.

    No account. No setup. Instant analysis.

    Drop your set. We listen to it in full, like a human.

    MP3 / WAV / AIF / AIFF / M4A / OGG / FLAC — min 1 min, max 2048 MB

    Up to 15 minutes for long sets — coffee recommended ☕

    A free account is required to run an analysis. Create your account

    Upload now. Create account later.