Kerri ChandlerCafe Del Mar Classics Sundown Mix WIL112 - Miguel Migs, Groove Armada, Sade, Kaskade, Kerri Chandler

    House · 2h 07m · analysed 19 Aug 2026

    Overall score
    81/100
    Level
    club ready
    Duration
    2h 07m
    Genre
    House

    About this house set

    Cafe Del Mar Classics Sundown Mix WIL112 - Miguel Migs, Groove Armada, Sade, Kaskade, Kerri Chandler is a house DJ set by Kerri Chandler, running 2h 07m. It was measured by the SOONOS multi-agent engine and scores 81/100 overall — club ready.

    The engine files this performance as “Promising”.

    This DJ understands that the space between the tracks is just as important as the tracks themselves.

    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 79/100.

    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 57 points, moving between 20 and 82 on the SOONOS energy scale — a wide dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 162.7 grid breaks per hour, with a median beat offset of 20 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This DJ understands that the space between the tracks is just as important as the tracks themselves.

    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%88
    Beat Alignmentmeasured82
    Transition Qualitymeasured90
    Phrase Accuracymeasured91
    EQ & Frequency Control (estimated)measured87
    Tempo Stability (estimated)measured93
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%86
    Narrative ArcAI92
    ProgressionAI86
    Tension & ReleaseAI80
    Section AwarenessAI86
    Flow ContinuityAI92
    PayoffAI78

    ENERGY

    Did you control the room?

    20%86
    Energy Curvemeasured89
    PacingAI90
    MomentumAI88
    Peak ManagementAI82
    Energy HandoffAI83
    Fatigue ControlAI71

    SURPRISE

    Did you remain unpredictable?

    15%79
    Unexpected MomentsAI74
    ContrastAI80
    Transition Varietymeasured92
    Selection RiskAI80
    FreshnessAI68
    Surprise ControlAI74

    IDENTITY

    Did the mix sound like you?

    15%91
    Selection QualityAI91
    Identity ConsistencyAI96
    IntentionalityAI90
    ConfidenceAI87
    RestraintAI94
    SignatureAI88

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

    Energy arc

    0:00114:30

    Transitions analysed (7)

    4:12

    Long EQ blend with high-pass filtering

    Beautifully executed transition that respects the phrasing of both tracks.

    92
    9:30

    Harmonic blend with mid-range focus

    Smooth transition into a more vocal-led track, maintaining the groove perfectly.

    88
    12:45

    Perfect Harmonic Blend

    100
    16:20

    Minor EQ Overlap

    intentional_reset

    82
    20:15

    Seamless Phrasing

    100
    23:45

    Long EQ blend with low-end swap

    A textbook deep house transition, perfectly transparent and musically aligned.

    92
    27:52

    Melodic layering and filter fade

    Smooth introduction of a vocal track, maintaining the sunset vibe perfectly.

    88

    Technical subscores

    87

    EQ balance

    93

    Beat alignment

    83

    Energy control

    93

    Tempo stability

    85

    Loudness control

    91

    Musical coherence

    92

    Harmonic compatibility

    90

    Transition cleanliness

    Measured (DSP)

    19.5 ms

    Beat-grid drift (median)

    52.4 ms

    Drift p95

    7,590

    Boundaries detected

    42

    Hard cuts / h

    53

    Clipping events

    333

    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 (29:00, 38:30, 46:00, 56:00, 66:00, 69:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:45Atmospheric Hook
    • 6:15Groove Lock
    • 26:10Soulful Peak

    Coaching notes

    • Continue prioritizing long, phrase-aligned blends.
    • Use subtle FX to bridge longer instrumental passages.
    • Maintain the high standard of harmonic selection.
    • Consider a 'classic' vocal drop to anchor the set's identity.
    • Introduce more mid-range EQ variation during long blends to keep the listener's ear engaged.
    • Try a 'double-drop' technique where you swap the basslines of two tracks simultaneously for a more dynamic energy shift.
    • Incorporate more field recordings or ambient textures between tracks to further lean into the 'Cafe Del Mar' aesthetic.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Kerri Chandler's Cafe Del Mar Classics Sundown Mix WIL112 - Miguel Migs, Groove Armada, Sade, Kaskade, Kerri Chandler get?
    Cafe Del Mar Classics Sundown Mix WIL112 - Miguel Migs, Groove Armada, Sade, Kaskade, Kerri Chandler scores 81/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is Cafe Del Mar Classics Sundown Mix WIL112 - Miguel Migs, Groove Armada, Sade, Kaskade, Kerri Chandler?
    The analysed recording runs 2h 07m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 91/100, 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.

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