Ben Klock — Ben Klock - CLR Podcast 2011
Detroit Techno · 1h 08m · 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, Ben Klock.
In short
Ben Klock - CLR Podcast 2011 by Ben Klock scores 78/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (96/100) and the weakest is SURPRISE (83/100).
The engine files this performance as “Promising”.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (17:00, 25:00, 33:00, 40:00, 46:00, 51:00). Long loops kill dancefloor momentum.
What to try next
- Maintain the long-form blending style; it is your greatest strength.
- Experiment with subtle melodic textures to add emotional depth.
- Use the podcast breaks to reset energy levels strategically.
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 executed transition that maintains the rolling energy without a visible seam.
Subtle introduction of new rhythmic elements that enhance the existing groove.
Perfectly executed transition; the tracks merge into a singular groove with no audible phase issues.
Smooth integration of new rhythmic elements; the transition feels like a natural evolution of the track.
Effective use of filtering to clear space for the incoming track's kick drum.
Seamless introduction of the next track's percussion.
About this detroit techno set
Ben Klock - CLR Podcast 2011 is a detroit techno DJ set by Ben Klock, running 1h 08m. It was measured by the SOONOS multi-agent engine and scores 78/100 overall — club 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 96/100; the weakest is SURPRISE at 83/100.
The final score is capped by measured beatmatching: 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 39 points, moving between 30 and 90 on the SOONOS energy scale — a wide dynamic range across the set.
6 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 1347.4 grid breaks per hour, with a median beat offset of 28 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.
On this set, the ceiling applied is measured beatmatching.
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%85
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%96
IDENTITY
Did the mix sound like you?
Final score capped by measured beatmatching — the weighted average before the cap was 88.
Energy arc
Transitions analysed (6)
Long EQ blend with low-end swap
Perfectly executed transition that maintains the rolling energy without a visible seam.
Percussive layering and high-pass filtering
Subtle introduction of new rhythmic elements that enhance the existing groove.
Long EQ blend with low-end swap
Perfectly executed transition; the tracks merge into a singular groove with no audible phase issues.
Percussive layering and mid-frequency swap
Smooth integration of new rhythmic elements; the transition feels like a natural evolution of the track.
High-pass filter blend and drop
Effective use of filtering to clear space for the incoming track's kick drum.
Long EQ blend
Seamless introduction of the next track's percussion.
Technical subscores
92
EQ balance
95
Beat alignment
89
Energy control
95
Tempo stability
91
Loudness control
94
Musical coherence
88
Harmonic compatibility
92
Transition cleanliness
Measured (DSP)
28 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
203 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
4,089
Boundaries detected
Points where the audio changes track or section.
7
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
495
Clipping events
Moments where the recording hits the ceiling and distorts.
169
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 (17:00, 25:00, 33:00, 40:00, 46:00, 51:00). Long loops kill dancefloor momentum.
Timeline
- 0:05Atmospheric Hook
- 6:30Groove Lock
- 14:20Groove Lock Peak
- 19:55Atmospheric Shift
- 27:15Groove Lock
Coaching notes
- Maintain the long-form blending style; it is your greatest strength.
- Experiment with subtle melodic textures to add emotional depth.
- Use the podcast breaks to reset energy levels strategically.
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 Ben Klock's Ben Klock - CLR Podcast 2011 get?
- Ben Klock - CLR Podcast 2011 scores 78/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is Ben Klock - CLR Podcast 2011?
- The analysed recording runs 1h 08m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 96/100, 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.
More Ben Klock sets analysed
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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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