Anetha — Anetha | Peacock Society 2022 - ARTE Concert
Hard Techno · 1h 59m · analysed 21 Aug 2026
About this hard techno set
Anetha | Peacock Society 2022 - ARTE Concert is a hard techno DJ set by Anetha, running 1h 59m. 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 TECHNIQUE at 82/100.
The final score is capped by measured -: the DSP layer overrides the listening layer whenever it measures an execution issue directly in the audio.
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 43 points, moving between 75 and 96 on the SOONOS energy scale — a moderate dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 202.1 grid breaks per hour, with a median beat offset of 20 ms.
Full SOONOS analysis
The 8 dimensions
Score breakdown
TECHNIQUE
How well did you execute?
25%82
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%92
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%87
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%85
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%94
IDENTITY
Did the mix sound like you?
Final score capped by measured execution (-) — weighted average was 88.
Energy arc
Transitions analysed (7)
Long EQ blend with low-end swap
Perfectly executed transition that maintains the driving energy while shifting the textural focus.
Fast layering with high-pass filter
Energetic transition that uses frequency isolation to bring in the next track's lead elements.
Perfect EQ Swap
Minor High-End Overlap
strategic_disruption
Seamless Phrase Match
Long EQ blend with low-end swap
Perfectly executed handover of the sub-bass frequencies, maintaining the rolling groove.
Mid-frequency layering and cut
Smooth introduction of a vocal element that sits perfectly above the existing kick.
Technical subscores
88
EQ balance
94
Beat alignment
93
Energy control
95
Tempo stability
90
Loudness control
90
Musical coherence
85
Harmonic compatibility
89
Transition cleanliness
Measured (DSP)
19.9 ms
Beat-grid drift (median)
81 ms
Drift p95
7,092
Boundaries detected
184
Hard cuts / h
11
Clipping events
384
Level jumps
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, 33:20, 36:00, 40:45, 47:00, 52:00). Long loops kill dancefloor momentum.
Timeline
- 04:30Acid Entry
- 09:15Rhythmic Density Peak
- 27:30Groove Lock
Coaching notes
- Experiment with longer, more atmospheric breakdowns to heighten the impact of the drops.
- Incorporate more varied synth textures to expand the emotional range of the set.
- Maintain the current level of technical precision in high-BPM transitions.
- Experiment with brief moments of silence to enhance the impact of the kick re-entry.
- Explore more minor-key melodic elements to add emotional depth to the industrial sound.
- Maintain the high level of technical precision shown in the EQ blends.
Curious how your own set scores?
Questions about this analysis
- What score does Anetha's Anetha | Peacock Society 2022 - ARTE Concert get?
- Anetha | Peacock Society 2022 - ARTE Concert scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is Anetha | Peacock Society 2022 - ARTE Concert?
- The analysed recording runs 1h 59m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 94/100, while TECHNIQUE 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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