Fideles — Fideles| CRSSD Festival Live Set Fall 2023

    Melodic Techno · 1h 14m · analysed 22 Aug 2026 · source: soundcloud.com

    Overall score
    85/100
    Level
    festival ready
    Duration
    1h 14m
    Genre
    Melodic 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, Fideles.

    In short

    Fideles| CRSSD Festival Live Set Fall 2023 by Fideles scores 85/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (93/100) and the weakest is TECHNIQUE (83/100).

    The DJ treats the mix as a single evolving instrument, using transitions as compositional tools rather than mere track changes.

    Key takeaways

    What worked

    • Exceptional harmonic mixing.
    • Seamless, almost invisible transitions.
    • Strong emotional narrative.

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (9:00, 32:00, 36:00, 43:00, 47:00, 53:00). Long loops kill dancefloor momentum.

    What to try next

    • Experiment with more diverse harmonic textures.
    • Incorporate subtle organic elements to add warmth.
    • Vary the length of build-ups to maintain surprise.
    • Incorporate more live elements or unique edits to further distinguish the 'Signature' sound.

    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.

    • 4:12Measured (DSP)92/100Listen at 4:12

      Perfectly executed entry of the first driving kick. The transition is felt rather than heard.

    • 8:45Measured (DSP)88/100Listen at 8:45

      Sophisticated blend of two melodic themes. The DJ uses filters to prevent frequency masking.

    • 12:15Measured (DSP)94/100Listen at 12:15

      Perfectly executed transition where the incoming melody complements the outgoing bassline.

    • 15:45Measured (DSP)92/100Listen at 15:45

      Smooth low-end handover. The transition is almost imperceptible to the casual listener.

    • 19:30Measured (DSP)85/100Listen at 19:30

      Uses the natural breakdown of the track to introduce the next element. Effective for maintaining tension.

    • 21:45Measured (DSP)96/100Listen at 21:45

      Perfectly executed transition where the new lead melody emerges naturally from the previous track's atmosphere.

    • 25:45Measured (DSP)88/100Listen at 25:45

      Solid transition, though a very slight level dip was audible during the mid-frequency handover.

    • 30:12Measured (DSP)94/100Listen at 30:12

      High-impact transition that perfectly aligns the drops of both tracks for maximum energy.

    About this melodic techno set

    Fideles| CRSSD Festival Live Set Fall 2023 is a melodic techno DJ set by Fideles, running 1h 14m. 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 single evolving instrument, using transitions as compositional tools rather than mere track changes.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 93/100; the weakest is TECHNIQUE 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 35 points, moving between 20 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 708.0 grid breaks per hour, with a median beat offset of 26 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 single evolving instrument, using transitions as compositional tools rather than mere track changes.

    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 Alignmentmeasured71
    Transition Qualitymeasured77
    Phrase Accuracymeasured94
    EQ & Frequency Control (estimated)measured89
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured64

    STORYTELLING

    Did the mix go somewhere?

    25%91
    Narrative ArcAI93
    ProgressionAI90
    Tension & ReleaseAI89
    Section AwarenessAI90
    Flow ContinuityAI93
    PayoffAI87

    ENERGY

    Did you control the room?

    20%87
    Energy Curvemeasured90
    PacingAI91
    MomentumAI91
    Peak ManagementAI88
    Energy HandoffAI87
    Fatigue ControlAI64

    SURPRISE

    Did you remain unpredictable?

    15%83
    Unexpected MomentsAI80
    ContrastAI87
    Transition Varietymeasured93
    Selection RiskAI86
    FreshnessAI62
    Surprise ControlAI80

    IDENTITY

    Did the mix sound like you?

    15%93
    Selection QualityAI91
    Identity ConsistencyAI97
    IntentionalityAI93
    ConfidenceAI92
    RestraintAI90
    SignatureAI91

    Energy arc

    0:0074:00

    Transitions analysed (8)

    4:12

    Long EQ blend with low-end swap on phrase

    Perfectly executed entry of the first driving kick. The transition is felt rather than heard.

    92
    8:45

    Melodic layering with high-pass filtering

    Sophisticated blend of two melodic themes. The DJ uses filters to prevent frequency masking.

    88
    12:15

    Long harmonic blend with high-pass filtering

    Perfectly executed transition where the incoming melody complements the outgoing bassline.

    94
    15:45

    EQ-based swap on the 32nd bar

    Smooth low-end handover. The transition is almost imperceptible to the casual listener.

    92
    19:30

    Breakdown transition with filter sweep

    Uses the natural breakdown of the track to introduce the next element. Effective for maintaining tension.

    85
    21:45

    Long melodic blend with high-pass filter handover

    Perfectly executed transition where the new lead melody emerges naturally from the previous track's atmosphere.

    96
    25:45

    EQ-based swap on the 32nd bar

    Solid transition, though a very slight level dip was audible during the mid-frequency handover.

    88
    30:12

    Double-drop with low-end swap

    High-impact transition that perfectly aligns the drops of both tracks for maximum energy.

    94

    Technical subscores

    89

    EQ balance

    95

    Beat alignment

    90

    Energy control

    96

    Tempo stability

    88

    Loudness control

    92

    Musical coherence

    94

    Harmonic compatibility

    92

    Transition cleanliness

    Measured (DSP)

    26 ms

    Beat-grid drift (median)

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

    205 ms

    Drift p95

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

    4,450

    Boundaries detected

    Points where the audio changes track or section.

    64

    Hard cuts / h

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

    1

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    184

    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 (9:00, 32:00, 36:00, 43:00, 47:00, 53:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Exceptional harmonic mixing.
    • Seamless, almost invisible transitions.
    • Strong emotional narrative.

    Timeline

    • 0:45Atmospheric Hook
    • 6:15Groove Lock
    • 14:10Groove Lock Peak
    • 18:45Tension Plateau
    • 19:30Risky pressure or vibe dip
    • 24:15Harmonic Synergy
    • 28:30Energy Plateau

    Coaching notes

    • Experiment with more diverse harmonic textures.
    • Incorporate subtle organic elements to add warmth.
    • Vary the length of build-ups to maintain surprise.
    • Incorporate more live elements or unique edits to further distinguish the 'Signature' sound.
    • Experiment with brief moments of silence or extreme filtering to create even larger tension gaps.
    • Maintain this high standard of harmonic mixing as it is a core strength.
    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 Fideles's Fideles| CRSSD Festival Live Set Fall 2023 get?
    Fideles| CRSSD Festival Live Set Fall 2023 scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Fideles| CRSSD Festival Live Set Fall 2023?
    The analysed recording runs 1h 14m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 93/100, while TECHNIQUE 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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