Adriana Lopez — Reclaim Your City 369 | Adriana Lopez
Industrial Techno · 1h 59m · analysed 21 Aug 2026
About this industrial techno set
Reclaim Your City 369 | Adriana Lopez is a industrial techno DJ set by Adriana Lopez, 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”.
Adriana Lopez demonstrates that true power in techno comes from restraint and the slow, deliberate construction of tension.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 95/100; the weakest is SURPRISE at 84/100.
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 48 points, moving between 70 and 90 on the SOONOS energy scale — a moderate dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 348.9 grid breaks per hour, with a median beat offset of 8 ms.
Full SOONOS analysis
Adriana Lopez demonstrates that true power in techno comes from restraint and the slow, deliberate construction of tension.
The 8 dimensions
Score breakdown
TECHNIQUE
How well did you execute?
25%92
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%87
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%84
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%95
IDENTITY
Did the mix sound like you?
Final score capped by measured execution (-) — weighted average was 90.
Energy arc
Transitions analysed (7)
Long EQ blend with low-end swap
Perfectly executed handover. The incoming kick replaces the outgoing one without any phase cancellation or volume dip.
Layered percussion blend
Smooth transition focusing on the mid-range textures. The tracks coexist for a significant period, creating a new composite groove.
Perfect Blend
Seamless Layering
Minor EQ Overlap
strategic_disruption
Perfect Blend
Surgical EQ Swap
Technical subscores
92
EQ balance
96
Beat alignment
90
Energy control
95
Tempo stability
90
Loudness control
94
Musical coherence
89
Harmonic compatibility
93
Transition cleanliness
Measured (DSP)
8.2 ms
Beat-grid drift (median)
117.8 ms
Drift p95
7,111
Boundaries detected
35
Hard cuts / h
25
Clipping events
252
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 (10:00, 36:00, 40:00, 46:00, 48:00, 52:30). Long loops kill dancefloor momentum.
Timeline
- 04:15Groove Lock Peak
- 09:30Atmospheric Shift
Coaching notes
- Experiment with more aggressive EQ cuts to create rhythmic interest.
- Introduce a melodic element earlier to provide a narrative hook.
- Vary the transition lengths to keep the listener guessing.
- Continue exploring the 'third track' effect through long, patient layering.
- Experiment with brief moments of silence or atmospheric breaks to enhance the impact of the return to the kick.
- Incorporate more varied synth textures to add a layer of melodic intrigue to the industrial foundation.
Curious how your own set scores?
Questions about this analysis
- What score does Adriana Lopez's Reclaim Your City 369 | Adriana Lopez get?
- Reclaim Your City 369 | Adriana Lopez scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is Reclaim Your City 369 | Adriana Lopez?
- The analysed recording runs 1h 59m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 95/100, while SURPRISE is the lowest at 84/100.
- 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.