Enrico Sangiuliano — Enrico Sangiuliano at Egg London - February 17th, 2017
Peak Techno · 1h 57m · analysed 20 Aug 2026 · source: soundcloud.com
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, Enrico Sangiuliano.
In short
Enrico Sangiuliano at Egg London - February 17th, 2017 by Enrico Sangiuliano scores 86/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (92/100) and the weakest is SURPRISE (83/100).
Mastery of the 'rolling' techno sound requires the patience to let the groove breathe, which this DJ has in spades.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (14:00, 18:00, 32:00, 35:00, 39:00, 45:00). Long loops kill dancefloor momentum.
What to try next
- Experiment with more dramatic breakdown structures.
- Use vocal stabs to create more memorable crowd moments.
- Incorporate more varied synth textures to enhance the narrative depth.
- Experiment with more dramatic filter work during breakdowns.
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.
Flawless transition from the intro soundscape into the main set groove.
Flawless integration of the incoming track's percussion.
Smooth transition maintaining the hypnotic groove.
Effective energy handoff at a key phrase boundary.
Perfectly executed handover of the sub-bass frequencies, maintaining the groove without a hitch.
Smooth introduction of high-end elements while filtering out the outgoing track's mids.
About this peak techno set
Enrico Sangiuliano at Egg London - February 17th, 2017 is a peak techno DJ set by Enrico Sangiuliano, running 1h 57m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.
The engine files this performance as “Promising”.
Mastery of the 'rolling' techno sound requires the patience to let the groove breathe, which this DJ has in spades.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 92/100; the weakest is SURPRISE 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 68 points, moving between 10 and 95 on the SOONOS energy scale — a wide dynamic range across the set.
6 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 299.1 grid breaks per hour, with a median beat offset of 6 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.
Full SOONOS analysis
Mastery of the 'rolling' techno sound requires the patience to let the groove breathe, which this DJ has in spades.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%88
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%90
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%86
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%83
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%92
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (6)
Atmospheric fade into driving kick
Flawless transition from the intro soundscape into the main set groove.
Long EQ blend with low-end swap
Flawless integration of the incoming track's percussion.
Mid-range focused blend
Smooth transition maintaining the hypnotic groove.
High-energy drop swap
Effective energy handoff at a key phrase boundary.
Long EQ blend with low-end swap
Perfectly executed handover of the sub-bass frequencies, maintaining the groove without a hitch.
High-pass filter transition
Smooth introduction of high-end elements while filtering out the outgoing track's mids.
Technical subscores
90
EQ balance
94
Beat alignment
91
Energy control
94
Tempo stability
90
Loudness control
91
Musical coherence
88
Harmonic compatibility
91
Transition cleanliness
Measured (DSP)
6 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
129 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
7,017
Boundaries detected
Points where the audio changes track or section.
119
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
129
Clipping events
Moments where the recording hits the ceiling and distorts.
325
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 (14:00, 18:00, 32:00, 35:00, 39:00, 45:00). Long loops kill dancefloor momentum.
Timeline
- 6:16The Drop
- 0:05Crowd Noise Integration
- 15:30Groove Lock
- 19:45Tension Peak
- 27:15Groove Lock
Coaching notes
- Experiment with more dramatic breakdown structures.
- Use vocal stabs to create more memorable crowd moments.
- Incorporate more varied synth textures to enhance the narrative depth.
- Experiment with more dramatic filter work during breakdowns.
- Introduce subtle melodic elements to add emotional depth.
- Try a 'power cut' transition to create a high-impact reset moment.
- Focus on layering more diverse percussive textures to avoid monotony.
- Experiment with more dramatic 'reset' moments to break the relentless drive and provide contrast.
- Introduce a brief melodic motif or vocal stab to create a memorable 'hook' for the crowd.
- Lean further into the atmospheric, dark pad elements to enhance the emotional depth of the set.
- Experiment with more dramatic filter sweeps to enhance tension and release.
- Incorporate subtle melodic elements to add emotional depth to the driving rhythm.
- Maintain the high standard of technical execution and seamless transitions.
- Experiment with even longer, more atmospheric breakdowns to heighten the eventual release.
- Vary the duration of the tension phases to keep the audience guessing.
- Incorporate more varied melodic textures to broaden the emotional palette.
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 Enrico Sangiuliano's Enrico Sangiuliano at Egg London - February 17th, 2017 get?
- Enrico Sangiuliano at Egg London - February 17th, 2017 scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is Enrico Sangiuliano at Egg London - February 17th, 2017?
- The analysed recording runs 1h 57m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 92/100, while SURPRISE 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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Test how a set like this one would land in a club, a beach club or a festival.
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