Kasia — Kasia DVD - Closing Set After Kevin de Vries | Melodic Techno & Progressive House | Warsaw 2025

    Hard Techno · 1h 28m · analysed 23 Aug 2026 · source: soundcloud.com

    Overall score
    82/100
    Level
    club ready
    Duration
    1h 28m
    Genre
    Hard Techno

    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, Kasia.

    In short

    Kasia DVD - Closing Set After Kevin de Vries | Melodic Techno & Progressive House | Warsaw 2025 by Kasia scores 82/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (87/100) and the weakest is SURPRISE (79/100).

    This segment proves that a great closing set is defined not by how it ends, but by how it resolves the journey that came before it.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (11:00, 22:00, 26:00, 44:00, 52:00, 56:12). Long loops kill dancefloor momentum.

    What to try next

    • Experiment with more aggressive EQ cuts to create sharper rhythmic definitions during transitions.
    • Use external FX or loops to add a unique 'signature' layer over the existing tracks.
    • Consider a brief harmonic 'reset' (a track in a completely different key) to refresh the audience's ears.
    • Continue to leverage long, evolving blends to maintain the hypnotic state.

    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.

    • 05:22Measured (DSP)94/100Listen at 05:22

      A textbook melodic techno transition. The incoming bassline is introduced so subtly it feels like a natural evolution of the first track.

    • 09:45Measured (DSP)90/100Listen at 09:45

      Smooth transition using high-pass filtering to clear space for the incoming track's mid-range melodies.

    • 14:45Measured (DSP)92/100Listen at 14:45

      Flawless transition, maintaining the hypnotic state perfectly.

    • 18:40Measured (DSP)88/100Listen at 18:40

      Smooth energy handoff using high-pass filters to clear space for the incoming track.

    • 24:12Measured (DSP)92/100Listen at 24:12

      Expertly executed blend where the incoming track's atmosphere replaces the outgoing one without a drop in energy.

    • 28:45Measured (DSP)85/100Listen at 28:45

      Smooth transition during a breakdown, utilizing the lack of percussion to switch the melodic lead.

    About this hard techno set

    Kasia DVD - Closing Set After Kevin de Vries | Melodic Techno & Progressive House | Warsaw 2025 is a hard techno DJ set by Kasia, running 1h 28m. It was measured by the SOONOS multi-agent engine and scores 82/100 overall — club ready.

    The engine files this performance as “Promising”.

    This segment proves that a great closing set is defined not by how it ends, but by how it resolves the journey that came before it.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 87/100; the weakest is SURPRISE at 79/100.

    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 40 points, moving between 20 and 90 on the SOONOS energy scale — a wide dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 529.4 grid breaks per hour, with a median beat offset of 21 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

    This segment proves that a great closing set is defined not by how it ends, but by how it resolves the journey that came before it.

    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 Alignmentmeasured81
    Transition Qualitymeasured67
    Phrase Accuracymeasured92
    EQ & Frequency Control (estimated)measured88
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%87
    Narrative ArcAI90
    ProgressionAI85
    Tension & ReleaseAI83
    Section AwarenessAI86
    Flow ContinuityAI91
    PayoffAI84

    ENERGY

    Did you control the room?

    20%83
    Energy Curvemeasured83
    PacingAI86
    MomentumAI90
    Peak ManagementAI84
    Energy HandoffAI86
    Fatigue ControlAI58

    SURPRISE

    Did you remain unpredictable?

    15%79
    Unexpected MomentsAI78
    ContrastAI82
    Transition Varietymeasured90
    Selection RiskAI76
    FreshnessAI57
    Surprise ControlAI78

    IDENTITY

    Did the mix sound like you?

    15%87
    Selection QualityAI86
    Identity ConsistencyAI94
    IntentionalityAI86
    ConfidenceAI88
    RestraintAI82
    SignatureAI80

    Energy arc

    00:0088:00

    Transitions analysed (6)

    05:22

    Long EQ blend with low-end swap

    A textbook melodic techno transition. The incoming bassline is introduced so subtly it feels like a natural evolution of the first track.

    94
    09:45

    Filter-assisted blend

    Smooth transition using high-pass filtering to clear space for the incoming track's mid-range melodies.

    90
    14:45

    Long EQ blend with low-end swap

    Flawless transition, maintaining the hypnotic state perfectly.

    92
    18:40

    Filtered transition with melodic layering

    Smooth energy handoff using high-pass filters to clear space for the incoming track.

    88
    24:12

    Long EQ blend with high-pass filtering

    Expertly executed blend where the incoming track's atmosphere replaces the outgoing one without a drop in energy.

    92
    28:45

    Breakdown overlap

    Smooth transition during a breakdown, utilizing the lack of percussion to switch the melodic lead.

    85

    Technical subscores

    88

    EQ balance

    93

    Beat alignment

    87

    Energy control

    95

    Tempo stability

    87

    Loudness control

    90

    Musical coherence

    90

    Harmonic compatibility

    90

    Transition cleanliness

    Measured (DSP)

    21 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.

    5,271

    Boundaries detected

    Points where the audio changes track or section.

    105

    Hard cuts / h

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

    0

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    316

    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 (11:00, 22:00, 26:00, 44:00, 52:00, 56:12). Long loops kill dancefloor momentum.

    Timeline

    • 00:00Atmospheric Handoff
    • 07:30Groove Lock
    • 13:20Melodic Hook Entry
    • 17:45Percussive Build

    Coaching notes

    • Experiment with more aggressive EQ cuts to create sharper rhythmic definitions during transitions.
    • Use external FX or loops to add a unique 'signature' layer over the existing tracks.
    • Consider a brief harmonic 'reset' (a track in a completely different key) to refresh the audience's ears.
    • Continue to leverage long, evolving blends to maintain the hypnotic state.
    • Experiment with subtle vocal layering to add emotional complexity.
    • Maintain the current level of EQ precision, as it is a major strength.
    • Consider a slightly more dramatic energy reset to heighten the impact of the final peak.
    • Maintain this level of narrative control in higher-energy segments.
    • Experiment with slightly more aggressive EQ cuts during transitions to add a touch of 'live' energy.
    • Consider using a final 'fake-out' drop to further engage the crowd before the final resolution.
    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 Kasia's Kasia DVD - Closing Set After Kevin de Vries | Melodic Techno & Progressive House | Warsaw 2025 get?
    Kasia DVD - Closing Set After Kevin de Vries | Melodic Techno & Progressive House | Warsaw 2025 scores 82/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is Kasia DVD - Closing Set After Kevin de Vries | Melodic Techno & Progressive House | Warsaw 2025?
    The analysed recording runs 1h 28m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 87/100, 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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