John Summit — John Summit - Live @ ARC Music Festival Chicago

    House · 1h 58m · analysed 20 Aug 2026 · source: soundcloud.com

    Overall score
    78/100
    Level
    club ready
    Duration
    1h 58m
    Genre
    House

    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, John Summit.

    In short

    John Summit - Live @ ARC Music Festival Chicago by John Summit scores 78/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (90/100) and the weakest is SURPRISE (79/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (4×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (25:00, 49:00, 59:00, 78:00). Long loops kill dancefloor momentum.

    What to try next

    • Continue leveraging contextual hooks to deepen the crowd connection.
    • Experiment with brief atmospheric breakdowns to create more dynamic range.
    • Maintain the high technical standard of digital precision mixing.

    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.

    • 3:12Measured (DSP)90/100Listen at 3:12

      Perfectly timed transition that maintains the percussive energy while introducing the new bassline.

    • 7:45Measured (DSP)82/100Listen at 7:45

      A high-energy switch that works for the festival context but felt slightly abrupt in the mid-frequencies.

    • 18:45Measured (DSP)82/100Listen at 18:45

      Strategic disruption

    • 24:00Measured (DSP)95/100Listen at 24:00

      Expertly timed entry of the 'Summertime Chi' vocal, creating a peak moment.

    About this house set

    John Summit - Live @ ARC Music Festival Chicago is a house DJ set by John Summit, running 1h 58m. It was measured by the SOONOS multi-agent engine and scores 78/100 overall — club 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 90/100; the weakest is SURPRISE at 79/100.

    The final score is capped by measured beatmatching: 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 20 points, moving between 75 and 94 on the SOONOS energy scale — a narrow dynamic range across the set.

    5 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 1097.3 grid breaks per hour, with a median beat offset of 28 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.

    On this set, the ceiling applied is measured beatmatching.

    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%80
    Beat Alignmentmeasured67
    Transition Qualitymeasured65
    Phrase Accuracymeasured92
    EQ & Frequency Control (estimated)measured86
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%89
    Narrative ArcAI89
    ProgressionAI86
    Tension & ReleaseAI88
    Section AwarenessAI88
    Flow ContinuityAI90
    PayoffAI94

    ENERGY

    Did you control the room?

    20%84
    Energy Curvemeasured85
    PacingAI86
    MomentumAI93
    Peak ManagementAI89
    Energy HandoffAI88
    Fatigue ControlAI48

    SURPRISE

    Did you remain unpredictable?

    15%79
    Unexpected MomentsAI79
    ContrastAI80
    Transition Varietymeasured89
    Selection RiskAI84
    FreshnessAI48
    Surprise ControlAI79

    IDENTITY

    Did the mix sound like you?

    15%90
    Selection QualityAI90
    Identity ConsistencyAI95
    IntentionalityAI90
    ConfidenceAI93
    RestraintAI79
    SignatureAI87

    Final score capped by measured beatmatching — the weighted average before the cap was 84.

    Energy arc

    24:0083:00

    Transitions analysed (5)

    3:12

    Long EQ blend with high-pass filter sweep

    Perfectly timed transition that maintains the percussive energy while introducing the new bassline.

    90
    7:45

    Quick cut on the drop

    A high-energy switch that works for the festival context but felt slightly abrupt in the mid-frequencies.

    82
    13:45

    Perfect Blend

    100
    18:45

    Minor EQ Overlap

    strategic_disruption

    82
    24:00

    Long EQ blend with vocal focus

    Expertly timed entry of the 'Summertime Chi' vocal, creating a peak moment.

    95

    Technical subscores

    86

    EQ balance

    93

    Beat alignment

    88

    Energy control

    95

    Tempo stability

    88

    Loudness control

    87

    Musical coherence

    86

    Harmonic compatibility

    88

    Transition cleanliness

    Measured (DSP)

    28 ms

    Beat-grid drift (median)

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

    221 ms

    Drift p95

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

    7,068

    Boundaries detected

    Points where the audio changes track or section.

    108

    Hard cuts / h

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

    281

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    292

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (4×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (25:00, 49:00, 59:00, 78:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:15Intro Hook
    • 6:00Peak Energy Drop
    • 7:45Risky pressure or vibe dip
    • 24:00The Chicago Connection
    • 30:00Groove Lock

    Coaching notes

    • Continue leveraging contextual hooks to deepen the crowd connection.
    • Experiment with brief atmospheric breakdowns to create more dynamic range.
    • Maintain the high technical standard of digital precision mixing.
    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 John Summit's John Summit - Live @ ARC Music Festival Chicago get?
    John Summit - Live @ ARC Music Festival Chicago scores 78/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is John Summit - Live @ ARC Music Festival Chicago?
    The analysed recording runs 1h 58m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 90/100, 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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