Crankdat — CRANKDAT - LIVE AT ULTRA MUSIC FESTIVAL 2023

    Trap EDM · 1h 28m · Ultra Music Festival · analysed 22 Aug 2026 · source: soundcloud.com

    Overall score
    85/100
    Level
    festival ready
    Duration
    1h 28m
    Genre
    Trap EDM

    Public mix analysis — no affiliation or endorsement. This report measures a publicly available recording hosted on soundcloud.com. The scores are produced by SOONOS and do not imply any partnership with, or approval by, Crankdat.

    In short

    CRANKDAT - LIVE AT ULTRA MUSIC FESTIVAL 2023 by Crankdat scores 85/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (91/100) and the weakest is SURPRISE (83/100).

    The DJ treats the mix as a weaponized narrative, where every transition is a calculated strike designed to maximize physical response.

    Key takeaways

    What weakened the set

    • Long static loops (2×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (51:30, 71:00). Long loops kill dancefloor momentum.

    What to try next

    • Utilize brief 'silence gaps' (1-2 beats) before major drops to increase perceived impact.
    • Experiment with more complex rhythmic syncopation during the builds to keep the crowd guessing.
    • Introduce a 'melodic reset' around the 15-minute mark to sustain long-term engagement.
    • Monitor the 2kHz-4kHz range during peak layering to avoid ear fatigue.

    Timestamped insights

    Each moment below is tagged with how it was produced: “measured” comes from the DSP pass on the audio, “listening” comes from the multi-agent listening pass.

    About this trap edm set

    CRANKDAT - LIVE AT ULTRA MUSIC FESTIVAL 2023 is a trap edm DJ set by Crankdat, running 1h 28m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.

    The engine files this performance as “Promising”.

    The DJ treats the mix as a weaponized narrative, where every transition is a calculated strike designed to maximize physical response.

    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 83/100.

    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 21 points, moving between 40 and 98 on the SOONOS energy scale — a wide dynamic range across the set.

    11 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 628.7 grid breaks per hour, with a median beat offset of 18 ms.

    How this score is built

    Measured layer (DSP): the audio file is analysed directly — beat grid, tempo stability, loudness and energy. These values are measurements, not opinions.

    Listening layer: a multi-agent pass reads musical intent — programming, storytelling, coherence and crowd effect. This layer interprets, it does not measure.

    Fusion and ceilings: the two layers are merged, and the measured layer always wins on execution. When the DSP hears an execution problem, it caps the final score even if the listening layer is positive.

    Measured coverage for this file is 100% of the set.

    Listen to the original set

    Full SOONOS analysis

    0

    The DJ treats the mix as a weaponized narrative, where every transition is a calculated strike designed to maximize physical response.

    The 8 dimensions

    Not available — the 8-dimension profile was not measured for this set.

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%86
    Beat Alignmentmeasured84
    Transition Qualitymeasured78
    Phrase Accuracymeasured92
    EQ & Frequency Control (estimated)measured84
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%90
    Narrative ArcAI90
    ProgressionAI89
    Tension & ReleaseAI92
    Section AwarenessAI89
    Flow ContinuityAI86
    PayoffAI98

    ENERGY

    Did you control the room?

    20%86
    Energy Curvemeasured86
    PacingAI87
    MomentumAI95
    Peak ManagementAI92
    Energy HandoffAI95
    Fatigue ControlAI44

    SURPRISE

    Did you remain unpredictable?

    15%83
    Unexpected MomentsAI87
    ContrastAI79
    Transition Varietymeasured95
    Selection RiskAI90
    FreshnessAI43
    Surprise ControlAI87

    IDENTITY

    Did the mix sound like you?

    15%91
    Selection QualityAI92
    Identity ConsistencyAI97
    IntentionalityAI95
    ConfidenceAI98
    RestraintAI70
    SignatureAI93

    Energy arc

    0:0077:00

    Transitions analysed (11)

    0:45

    Perfect Intro Handoff

    100
    2:45

    Elite Double Drop

    100
    5:12

    Minor Energy Shift

    strategic_disruption

    82
    8:00

    Seamless Genre Pivot

    100
    10:25

    High-Impact Cut

    100
    12:15

    Perfect Impact Cut

    strategic_disruption

    100
    16:20

    Minor EQ Overlap

    82
    19:00

    Elite Double Drop

    intentional_reset

    100
    22:15

    Perfect Drop Swap

    strategic_disruption

    100
    25:12

    Minor Gain Jump

    82
    28:48

    Flawless Tempo Ramp

    intentional_reset

    100

    Technical subscores

    84

    EQ balance

    93

    Beat alignment

    94

    Energy control

    95

    Tempo stability

    87

    Loudness control

    85

    Musical coherence

    83

    Harmonic compatibility

    87

    Transition cleanliness

    Measured (DSP)

    18 ms

    Beat-grid drift (median)

    Typical gap between the two tracks' beats while they play together. Lower is tighter.

    200 ms

    Drift p95

    Worst-case drift: 95% of the set stays tighter than this value.

    5,286

    Boundaries detected

    Points where the audio changes track or section.

    61

    Hard cuts / h

    Abrupt track changes per hour, with no blend between the two records.

    6903

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    251

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (2×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (51:30, 71:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:45The Drop-In
    • 5:12Genre Pivot
    • 8:40Pressure Peak

    Coaching notes

    • Utilize brief 'silence gaps' (1-2 beats) before major drops to increase perceived impact.
    • Experiment with more complex rhythmic syncopation during the builds to keep the crowd guessing.
    • Introduce a 'melodic reset' around the 15-minute mark to sustain long-term engagement.
    • Monitor the 2kHz-4kHz range during peak layering to avoid ear fatigue.
    Listen on SoundCloud

    Curious how your own set scores?

    Methodology and limitations

    This report is produced automatically from the published recording. It measures what is present in the audio file: a bad source encoding, a partial upload or a heavily processed broadcast version can change the measured values. Nothing here reflects the room, the crowd or the night itself.

    Read the full SOONOS methodology →

    Questions about this analysis

    What score does Crankdat's CRANKDAT - LIVE AT ULTRA MUSIC FESTIVAL 2023 get?
    CRANKDAT - LIVE AT ULTRA MUSIC FESTIVAL 2023 scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is CRANKDAT - LIVE AT ULTRA MUSIC FESTIVAL 2023?
    The analysed recording runs 1h 28m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 91/100, while SURPRISE is the lowest at 83/100.
    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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