Jeremy OlanderJeremy Olander | Live from Spybar Chicago 5.19.2023

    Progressive · 2h 06m · analysed 23 Aug 2026

    Overall score
    87/100
    Level
    festival ready
    Duration
    2h 06m
    Genre
    Progressive

    About this progressive set

    Jeremy Olander | Live from Spybar Chicago 5.19.2023 is a progressive DJ set by Jeremy Olander, running 2h 06m. It was measured by the SOONOS multi-agent engine and scores 87/100 overall — festival ready.

    The engine files this performance as “Promising”.

    This is a masterclass in how to use patience as a tool for building dancefloor energy.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 95/100; the weakest is SURPRISE at 85/100.

    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 54 points, moving between 20 and 88 on the SOONOS energy scale — a wide dynamic range across the set.

    5 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 293.9 grid breaks per hour, with a median beat offset of 20 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This is a masterclass in how to use patience as a tool for building dancefloor energy.

    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%89
    Beat Alignmentmeasured81
    Transition Qualitymeasured90
    Phrase Accuracymeasured95
    EQ & Frequency Control (estimated)measured91
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured77

    STORYTELLING

    Did the mix go somewhere?

    25%91
    Narrative ArcAI94
    ProgressionAI90
    Tension & ReleaseAI87
    Section AwarenessAI93
    Flow ContinuityAI95
    PayoffAI85

    ENERGY

    Did you control the room?

    20%89
    Energy Curvemeasured88
    PacingAI95
    MomentumAI92
    Peak ManagementAI89
    Energy HandoffAI89
    Fatigue ControlAI70

    SURPRISE

    Did you remain unpredictable?

    15%85
    Unexpected MomentsAI84
    ContrastAI85
    Transition Varietymeasured94
    Selection RiskAI88
    FreshnessAI68
    Surprise ControlAI84

    IDENTITY

    Did the mix sound like you?

    15%95
    Selection QualityAI93
    Identity ConsistencyAI98
    IntentionalityAI95
    ConfidenceAI95
    RestraintAI93
    SignatureAI94

    Final score capped by measured execution (-) — weighted average was 90.

    Energy arc

    0:00124:00

    Transitions analysed (5)

    5:45

    Long EQ blend with low-end swap

    Perfectly executed transition, maintaining the hypnotic flow without any energy loss.

    95
    9:40

    Subtle high-pass filter blend

    Smooth integration of new melodic elements while keeping the low-end stable.

    92
    12:18

    Extended EQ blend with phrase-perfect low-end swap

    A masterclass in progressive mixing; the tracks are indistinguishable during the overlap.

    96
    19:45

    Long-form layering focusing on mid-range textures

    Smooth transition that prioritizes the narrative flow over energy spikes.

    92
    26:45

    Perfect Blend

    100

    Technical subscores

    91

    EQ balance

    97

    Beat alignment

    90

    Energy control

    96

    Tempo stability

    90

    Loudness control

    94

    Musical coherence

    94

    Harmonic compatibility

    94

    Transition cleanliness

    Measured (DSP)

    20.4 ms

    Beat-grid drift (median)

    102.9 ms

    Drift p95

    7,534

    Boundaries detected

    34

    Hard cuts / h

    0

    Clipping events

    159

    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 (13:30, 34:00, 38:00, 44:00, 46:00, 53:45). Long loops kill dancefloor momentum.

    Timeline

    • 0:45Atmospheric Hook
    • 7:20Groove Consolidation
    • 15:45Atmospheric Peak
    • 21:30Groove Lock

    Coaching notes

    • Continue to lean into long, multi-track layering; it is your technical signature.
    • Consider a brief 'dry' percussion section to provide a palette cleanser for the ears.
    • The low-end management is excellent; keep monitoring the 200-400Hz range during dense blends.
    • Continue to leverage long, harmonic blends as they are a core strength of your style.
    • Experiment with brief, high-impact FX or filter sweeps to provide occasional energy resets.
    • Maintain the current level of track selection coherence; it creates a very professional narrative.
    • Study the use of long-form harmonic blending to create seamless narrative transitions.
    • Analyze the energy management during the final 10 minutes to understand how to resolve a set without losing the crowd.
    • Incorporate more vocal-led anthems in closing slots to maximize emotional impact.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Jeremy Olander's Jeremy Olander | Live from Spybar Chicago 5.19.2023 get?
    Jeremy Olander | Live from Spybar Chicago 5.19.2023 scores 87/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Jeremy Olander | Live from Spybar Chicago 5.19.2023?
    The analysed recording runs 2h 06m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 95/100, while SURPRISE is the lowest at 85/100.
    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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