Margaret Dygas — Margaret Dygas - Air Festival, Switzerland (29.07.2006)
Indie House · 2h 28m · analysed 24 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, Margaret Dygas.
In short
Margaret Dygas - Air Festival, Switzerland (29.07.2006) by Margaret Dygas scores 85/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (94/100) and the weakest is SURPRISE (82/100).
This set is a masterclass in how to maintain a dancefloor's attention through subtle evolution rather than overt peaks.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 19:00, 31:00, 40:00, 53:00, 68:00). Long loops kill dancefloor momentum.
What to try next
- Continue to explore the subtle interplay between percussive layers.
- Experiment with more dramatic filter sweeps to create occasional peaks.
- Maintain the high level of technical precision in the blends.
- Experiment with more aggressive EQ cuts to create momentary tension.
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.
A textbook minimal blend. The new percussion enters so subtly it feels like part of the original track.
A slight audible nudge to correct a phase drift. It doesn't break the groove but is noticeable to a trained ear.
Perfectly executed long blend, maintaining the groove while shifting textures.
Smooth introduction of new percussive elements, enhancing the existing loop.
A masterfully executed long blend where the transition is almost imperceptible.
Clean execution of a low-frequency swap at the end of a 32-bar phrase.
About this indie house set
Margaret Dygas - Air Festival, Switzerland (29.07.2006) is a indie house DJ set by Margaret Dygas, running 2h 28m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.
The engine files this performance as “Promising”.
This set is a masterclass in how to maintain a dancefloor's attention through subtle evolution rather than overt peaks.
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 82/100.
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 63 points, moving between 40 and 85 on the SOONOS energy scale — a wide dynamic range across the set.
6 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 315.4 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.
Full SOONOS analysis
This set is a masterclass in how to maintain a dancefloor's attention through subtle evolution rather than overt peaks.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%86
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%89
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%83
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%82
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 (6)
Long EQ blend, swapping lows over 32 bars
A textbook minimal blend. The new percussion enters so subtly it feels like part of the original track.
Manual vinyl correction during blend
A slight audible nudge to correct a phase drift. It doesn't break the groove but is noticeable to a trained ear.
Long EQ blend
Perfectly executed long blend, maintaining the groove while shifting textures.
Subtle layering
Smooth introduction of new percussive elements, enhancing the existing loop.
Long EQ blend with subtle low-end handover.
A masterfully executed long blend where the transition is almost imperceptible.
Phrase-aligned bass swap.
Clean execution of a low-frequency swap at the end of a 32-bar phrase.
Technical subscores
87
EQ balance
90
Beat alignment
86
Energy control
90
Tempo stability
86
Loudness control
91
Musical coherence
89
Harmonic compatibility
89
Transition cleanliness
Measured (DSP)
21 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
200 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
8,835
Boundaries detected
Points where the audio changes track or section.
20
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
81
Clipping events
Moments where the recording hits the ceiling and distorts.
754
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 (0:00, 19:00, 31:00, 40:00, 53:00, 68:00). Long loops kill dancefloor momentum.
Timeline
- 04:45The Perfect Blend
- 09:02Vinyl Drift
- 14:30Groove Lock
- 20:15Rhythmic Peak
- 26:30Groove Lock
Coaching notes
- Continue to explore the subtle interplay between percussive layers.
- Experiment with more dramatic filter sweeps to create occasional peaks.
- Maintain the high level of technical precision in the blends.
- Experiment with more aggressive EQ cuts to create momentary tension.
- Use vocal loops to add a human element to the machine-like rhythms.
- Vary the length of transitions to keep the listener guessing.
- Experiment with slightly more aggressive EQ cuts to create momentary tension.
- Incorporate a vocal snippet to add a human element to the clinical groove.
- Try a 'double drop' technique to surprise the audience during the peak phase.
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 Margaret Dygas's Margaret Dygas - Air Festival, Switzerland (29.07.2006) get?
- Margaret Dygas - Air Festival, Switzerland (29.07.2006) scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is Margaret Dygas - Air Festival, Switzerland (29.07.2006)?
- The analysed recording runs 2h 28m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 94/100, while SURPRISE is the lowest at 82/100.
- 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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