Ben Klock — Ben Klock - SWF 2019 - 17.08.2019
Detroit Techno · 1h 58m · analysed 19 Aug 2026
About this detroit techno set
Ben Klock - SWF 2019 - 17.08.2019 is a detroit techno DJ set by Ben Klock, running 1h 58m. It was measured by the SOONOS multi-agent engine and scores 90/100 overall — reference level.
The engine files this performance as “Promising”.
The DJ understands that in hypnotic techno, what you *don't* do is as important as what you do.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 96/100; the weakest is SURPRISE at 86/100.
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 61 points, moving between 65 and 93 on the SOONOS energy scale — a moderate dynamic range across the set.
5 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 310.6 grid breaks per hour, with a median beat offset of 15 ms.
Full SOONOS analysis
The DJ understands that in hypnotic techno, what you *don't* do is as important as what you do.
The 8 dimensions
Score breakdown
TECHNIQUE
How well did you execute?
25%91
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%89
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%86
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%96
IDENTITY
Did the mix sound like you?
Final score capped by measured execution (-) — weighted average was 91.
Energy arc
Transitions analysed (5)
Long EQ blend with low-end swap
Perfectly executed transition where the new track's bassline takes over without any audible dip in energy.
Phrase-aligned layering
Smooth introduction of new elements exactly on the 32-bar boundary.
Long EQ blend (64+ bars)
The incoming track's percussion is introduced so subtly it feels like an arrangement change of the current track.
Low-end swap on phrase
Precise bass handover at the start of the new phrase, maintaining total momentum.
Long-form EQ crossover
An incredibly smooth transition where the new percussion loop is introduced so subtly it feels like part of the original track.
Technical subscores
92
EQ balance
95
Beat alignment
92
Energy control
95
Tempo stability
90
Loudness control
94
Musical coherence
89
Harmonic compatibility
93
Transition cleanliness
Measured (DSP)
14.8 ms
Beat-grid drift (median)
120.8 ms
Drift p95
7,059
Boundaries detected
22
Hard cuts / h
302
Clipping events
118
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, 14:00, 20:00, 28:00, 35:00, 40:15). Long loops kill dancefloor momentum.
What SOONOS heard
- Technical invisibility
- Narrative patience
- Sonic consistency
Timeline
- 5:12The Invisible Handover
- 10:45Energy Peak
- 13:45The Ghost Transition
- 21:30Rhythmic Lock-in
- 28:30Hypnotic Peak
Coaching notes
- Continue to trust the long blends; they are your signature strength.
- Experiment with very subtle filter automation on the master bus to add organic movement to the loops.
- Consider a brief 'silence' or 'atmospheric' break in the next segment to reset the listener's ears.
Curious how your own set scores?
Questions about this analysis
- What score does Ben Klock's Ben Klock - SWF 2019 - 17.08.2019 get?
- Ben Klock - SWF 2019 - 17.08.2019 scores 90/100 in the SOONOS Mix Database (reference level), based on audio measurement plus multi-agent listening.
- How long is Ben Klock - SWF 2019 - 17.08.2019?
- The analysed recording runs 1h 58m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 96/100, while SURPRISE is the lowest at 86/100.
- 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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