Laurent Garnier — IIWII - Season 7 - Show 10 (Juin 2017)
Classics · 2h 02m · analysed 18 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, Laurent Garnier.
In short
IIWII - Season 7 - Show 10 (Juin 2017) by Laurent Garnier scores 74/100 in the SOONOS analysis (solid). The strongest dimension is IDENTITY (82/100) and the weakest is SURPRISE (76/100).
This DJ treats the mix as a cinematic experience, using every element to serve the story.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (30:00, 52:15, 71:00, 78:00, 82:45, 91:00). Long loops kill dancefloor momentum.
What to try next
- Experiment with subtle high-pass filter sweeps during transitions to add more dynamic movement.
- Introduce a recurring melodic motif to further strengthen the narrative identity.
- Slightly increase the volume of the percussive layers to drive the groove harder in the build phase.
- Refine EQ management during long blends to avoid mid-range clutter.
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.
Masterful transition from spoken word intro into the first musical chapter.
Smooth introduction of new rhythmic elements, maintaining the organic flow.
Excellent use of vocal chants to bridge into a more driving Afro-house section.
Transparent transition, perfectly beat-matched and phrase-aligned.
Smooth transition using filters to manage the energy handoff.
Extremely smooth transition. The incoming kick replaces the outgoing one almost imperceptibly.
Clean swap of the melodic/percussive elements in the mid-frequencies. Phrase alignment is spot on.
About this classics set
IIWII - Season 7 - Show 10 (Juin 2017) is a classics DJ set by Laurent Garnier, running 2h 02m. It was measured by the SOONOS multi-agent engine and scores 74/100 overall — solid.
The engine files this performance as “Promising”.
This DJ treats the mix as a cinematic experience, using every element to serve the story.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 82/100; the weakest is SURPRISE at 76/100.
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 56 points, moving between 20 and 85 on the SOONOS energy scale — a wide dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 1032.0 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.
Measured coverage for this file is 100% of the set.
Full SOONOS analysis
This DJ treats the mix as a cinematic experience, using every element to serve the story.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%77
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%81
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%79
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%76
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%82
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (7)
Long EQ blend with host fade-out
Masterful transition from spoken word intro into the first musical chapter.
Percussive layering
Smooth introduction of new rhythmic elements, maintaining the organic flow.
Vocal stem layering
Excellent use of vocal chants to bridge into a more driving Afro-house section.
Long EQ blend, low-end swap on phrase
Transparent transition, perfectly beat-matched and phrase-aligned.
Mid-frequency blend with high-pass filter
Smooth transition using filters to manage the energy handoff.
Long EQ blend with low-end swap
Extremely smooth transition. The incoming kick replaces the outgoing one almost imperceptibly.
Mid-range handover
Clean swap of the melodic/percussive elements in the mid-frequencies. Phrase alignment is spot on.
Technical subscores
81
EQ balance
88
Beat alignment
80
Energy control
90
Tempo stability
81
Loudness control
85
Musical coherence
83
Harmonic compatibility
84
Transition cleanliness
Measured (DSP)
28 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.
7,302
Boundaries detected
Points where the audio changes track or section.
93
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
198
Clipping events
Moments where the recording hits the ceiling and distorts.
1144
Level jumps
Sudden volume steps between tracks.
Measurement confidence 99% · analysed on the full audio.
Recurring patterns
Long static loops (6×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (30:00, 52:15, 71:00, 78:00, 82:45, 91:00). Long loops kill dancefloor momentum.
Timeline
- 2:15Narrative Hook
- 6:30Groove Lock
- 9:45Atmospheric Peak
- 14:30Groove Lock
- 18:45Energy Plateau
- 25:45Groove Lock
Coaching notes
- Experiment with subtle high-pass filter sweeps during transitions to add more dynamic movement.
- Introduce a recurring melodic motif to further strengthen the narrative identity.
- Slightly increase the volume of the percussive layers to drive the groove harder in the build phase.
- Refine EQ management during long blends to avoid mid-range clutter.
- Experiment with more dramatic tension-release cycles in breakdowns.
- Ensure track selection during peak phases maintains melodic or rhythmic urgency.
- Use subtle FX to bridge transitions between tracks with different sonic textures.
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 Laurent Garnier's IIWII - Season 7 - Show 10 (Juin 2017) get?
- IIWII - Season 7 - Show 10 (Juin 2017) scores 74/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
- How long is IIWII - Season 7 - Show 10 (Juin 2017)?
- The analysed recording runs 2h 02m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 82/100, while SURPRISE is the lowest at 76/100.
- 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.
Get the same breakdown on your own set: transitions, energy arc and measured execution.
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