Green Velvet — Green Velvet @ Tomorrowland 2011
Tech House · 1h 00m · Tomorrowland · analysed 19 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, Green Velvet.
In short
Green Velvet @ Tomorrowland 2011 by Green Velvet scores 86/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (94/100) and the weakest is SURPRISE (83/100).
The engine files this performance as “Promising”.
Key takeaways
What weakened the set
- Recurring mid-frequency clash (2×) — Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (10:30, 25:12).
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 32:00, 36:00, 40:00, 46:00, 52:30). Long loops kill dancefloor momentum.
What to try next
- Continue leveraging the unique vocal identity to stand out in festival lineups.
- Refine mid-frequency EQ management during long percussive blends to maintain clarity.
- Experiment with more dramatic filter releases to capitalize on the Tomorrowland stage size.
- Continue to leverage signature vocal elements to maintain identity.
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.
Perfectly aligned rhythmically, allowing the new groove to take over naturally.
High-impact transition utilizing the 'Flash' vocal to reset the energy.
Smooth transition focusing on mid-range clarity during the overlap.
Intentional reset
Strategic disruption
Smooth transition focusing on rhythmic alignment; slight mid-frequency build-up.
Perfectly timed entry of the vocal hook, shifting the energy into a peak state.
About this tech house set
Green Velvet @ Tomorrowland 2011 is a tech house DJ set by Green Velvet, running 1h 00m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.
The engine files this performance as “Promising”.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 94/100; 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 26 points, moving between 75 and 95 on the SOONOS energy scale — a moderate dynamic range across the set.
9 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 599.0 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
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%90
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%91
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%85
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%94
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (9)
Long percussive blend with high-pass filtering
Perfectly aligned rhythmically, allowing the new groove to take over naturally.
Vocal drop swap
High-impact transition utilizing the 'Flash' vocal to reset the energy.
EQ-heavy blend
Smooth transition focusing on mid-range clarity during the overlap.
Perfect Blend
Minor EQ Overlap
intentional_reset
Sharp Cut
strategic_disruption
Seamless Handoff
Long percussive blend
Smooth transition focusing on rhythmic alignment; slight mid-frequency build-up.
Vocal drop swap
Perfectly timed entry of the vocal hook, shifting the energy into a peak state.
Technical subscores
85
EQ balance
91
Beat alignment
91
Energy control
94
Tempo stability
86
Loudness control
87
Musical coherence
83
Harmonic compatibility
84
Transition cleanliness
Measured (DSP)
6 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
221 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
3,601
Boundaries detected
Points where the audio changes track or section.
3
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
43
Clipping events
Moments where the recording hits the ceiling and distorts.
26
Level jumps
Sudden volume steps between tracks.
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Recurring mid-frequency clash
Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (10:30, 25:12).
Long static loops (6×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 32:00, 36:00, 40:00, 46:00, 52:30). Long loops kill dancefloor momentum.
Timeline
- 28:45Vocal Hook Entry
Coaching notes
- Continue leveraging the unique vocal identity to stand out in festival lineups.
- Refine mid-frequency EQ management during long percussive blends to maintain clarity.
- Experiment with more dramatic filter releases to capitalize on the Tomorrowland stage size.
- Continue to leverage signature vocal elements to maintain identity.
- Experiment with more dramatic dynamic shifts to enhance tension.
- Maintain the high level of technical precision in transitions.
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 Green Velvet's Green Velvet @ Tomorrowland 2011 get?
- Green Velvet @ Tomorrowland 2011 scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is Green Velvet @ Tomorrowland 2011?
- The analysed recording runs 1h 00m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 94/100, 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.
Get the same breakdown on your own set: transitions, energy arc and measured execution.
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