Modestep — #BESTOF2013

    Dubstep · 1h 15m · analysed 24 Aug 2026 · source: soundcloud.com

    Overall score
    68/100
    Level
    developing
    Duration
    1h 15m
    Genre
    Dubstep

    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, Modestep.

    In short

    #BESTOF2013 by Modestep scores 68/100 in the SOONOS analysis (developing). The strongest dimension is TECHNIQUE (83/100) and the weakest is SURPRISE (67/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (8:30, 49:00, 53:00, 58:30, 64:00, 70:00). Long loops kill dancefloor momentum.

    What to try next

    • Smooth out high-frequency EQ swaps to avoid jarring sonic shifts.
    • Use longer transitions when bridging different sub-genres like electro and trap.
    • Introduce brief melodic breakdowns to provide energy contrast.
    • Incorporate more vocal hooks to enhance crowd engagement.

    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.

    • 4:18Measured (DSP)65/100Listen at 4:18

      The vibe shift is jarring, though clearly intentional for the 'drop' effect.

    • 6:45Measured (DSP)72/100Listen at 6:45

      Smooth integration of a recognizable vocal over a driving instrumental.

    • 14:45Measured (DSP)64/100Listen at 14:45

      Strategic disruption

    • 25:12Measured (DSP)82/100Listen at 25:12

      Strategic disruption

    About this dubstep set

    #BESTOF2013 is a dubstep DJ set by Modestep, running 1h 15m. It was measured by the SOONOS multi-agent engine and scores 68/100 overall — developing.

    The engine files this performance as “Promising”.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is TECHNIQUE at 83/100; the weakest is SURPRISE at 67/100.

    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 30 points, moving between 30 and 95 on the SOONOS energy scale — a wide dynamic range across the set.

    8 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 759.0 grid breaks per hour, with a median beat offset of 17 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 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%83
    Beat Alignmentmeasured85
    Transition Qualitymeasured83
    Phrase Accuracymeasured83
    EQ & Frequency Control (estimated)measured74
    Tempo Stability (estimated)measured88
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%75
    Narrative ArcAI77
    ProgressionAI68
    Tension & ReleaseAI72
    Section AwarenessAI78
    Flow ContinuityAI74
    PayoffAI90

    ENERGY

    Did you control the room?

    20%72
    Energy Curvemeasured72
    PacingAI63
    MomentumAI88
    Peak ManagementAI79
    Energy HandoffAI80
    Fatigue ControlAI38

    SURPRISE

    Did you remain unpredictable?

    15%67
    Unexpected MomentsAI68
    ContrastAI61
    Transition Varietymeasured88
    Selection RiskAI64
    FreshnessAI36
    Surprise ControlAI68

    IDENTITY

    Did the mix sound like you?

    15%77
    Selection QualityAI77
    Identity ConsistencyAI92
    IntentionalityAI77
    ConfidenceAI85
    RestraintAI50
    SignatureAI72

    Energy arc

    0:0074:00

    Transitions analysed (8)

    4:18

    Hard cut from orchestral to beat

    The vibe shift is jarring, though clearly intentional for the 'drop' effect.

    65
    6:45

    Vocal overlay blend

    Smooth integration of a recognizable vocal over a driving instrumental.

    72
    11:45

    Minor EQ Clash

    82
    14:45

    Noticeable Level Jump

    strategic_disruption

    64
    18:12

    Perfect Phrasing

    100
    22:15

    Perfect Phrase Match

    100
    25:12

    Minor Level Jump

    strategic_disruption

    82
    29:15

    Clean Drop Swap

    100

    Technical subscores

    74

    EQ balance

    85

    Beat alignment

    82

    Energy control

    88

    Tempo stability

    75

    Loudness control

    78

    Musical coherence

    77

    Harmonic compatibility

    77

    Transition cleanliness

    Measured (DSP)

    17 ms

    Beat-grid drift (median)

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

    202 ms

    Drift p95

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

    4,474

    Boundaries detected

    Points where the audio changes track or section.

    43

    Hard cuts / h

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

    939

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    218

    Level jumps

    Sudden volume steps between tracks.

    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 (8:30, 49:00, 53:00, 58:30, 64:00, 70:00). Long loops kill dancefloor momentum.

    Timeline

    • 4:18Risky pressure or vibe dip
    • 14:45Risky pressure or vibe dip

    Coaching notes

    • Smooth out high-frequency EQ swaps to avoid jarring sonic shifts.
    • Use longer transitions when bridging different sub-genres like electro and trap.
    • Introduce brief melodic breakdowns to provide energy contrast.
    • Incorporate more vocal hooks to enhance crowd engagement.
    • Work on smoother EQ transitions during high-frequency build-ups.
    • Add a more defined outro to provide a professional finish.
    • Experiment with longer breakdowns to increase the impact of the final drops.
    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 Modestep's #BESTOF2013 get?
    #BESTOF2013 scores 68/100 in the SOONOS Mix Database (developing), based on audio measurement plus multi-agent listening.
    How long is #BESTOF2013?
    The analysed recording runs 1h 15m.
    Which part of the mix scores best?
    TECHNIQUE is the strongest category at 83/100, while SURPRISE is the lowest at 67/100.
    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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