Stephan Bodzin — Stephan Bodzin Live at Wollman Rink for We Belong Here: Central Park 2024
Melodic Techno · 1h 28m · analysed 22 Jul 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, Stephan Bodzin.
In short
Stephan Bodzin Live at Wollman Rink for We Belong Here: Central Park 2024 by Stephan Bodzin scores 85/100 in the SOONOS analysis (festival ready).
This segment demonstrates how technical invisibility allows the music's emotional narrative to take center stage.
Key takeaways
What worked
- Technical perfection in long blends
- Deep emotional resonance
- Exceptional sound design and mastering
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (4:00, 13:30, 19:00, 22:00, 26:00, 30:00). Long loops kill dancefloor momentum.
What to try next
- Study the timing of the final breakdown at 84:00 for master-level tension management.
- Observe the EQ carving during the 82:00 transition to see how to layer complex melodies without mud.
- Note the crowd interaction at the end; the silence is as important as the sound.
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.
Intentional reset
Perfectly executed handover of low-end frequencies while maintaining melodic continuity.
High-energy transition that serves as a narrative peak for this segment.
Perfectly executed handover where the incoming lead synth replaces the outgoing one without any frequency clashing.
About this melodic techno set
Stephan Bodzin Live at Wollman Rink for We Belong Here: Central Park 2024 is a melodic techno DJ set by Stephan Bodzin, running 1h 28m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.
The engine files this performance as “Advanced”.
This segment demonstrates how technical invisibility allows the music's emotional narrative to take center stage.
Energy and structure
The energy curve was sampled at 41 points, moving between 20 and 95 on the SOONOS energy scale — a wide dynamic range across the set.
6 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 635.3 grid breaks per hour, with a median beat offset of 18 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.
Full SOONOS analysis
This segment demonstrates how technical invisibility allows the music's emotional narrative to take center stage.
The 8 dimensions
Energy arc
Transitions analysed (6)
Perfect Harmonic Blend
Seamless EQ Handover
Minor Level Drift
intentional_reset
Long melodic blend with EQ sculpting
Perfectly executed handover of low-end frequencies while maintaining melodic continuity.
Layered build-up into a drop
High-energy transition that serves as a narrative peak for this segment.
Long harmonic blend with high-pass filtering
Perfectly executed handover where the incoming lead synth replaces the outgoing one without any frequency clashing.
Measured (DSP)
18 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
217 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
5,259
Boundaries detected
Points where the audio changes track or section.
62
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
0
Clipping events
Moments where the recording hits the ceiling and distorts.
269
Level jumps
Sudden volume steps between tracks.
Recurring patterns
Long static loops (6×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (4:00, 13:30, 19:00, 22:00, 26:00, 30:00). Long loops kill dancefloor momentum.
What SOONOS heard
- Technical perfection in long blends
- Deep emotional resonance
- Exceptional sound design and mastering
Timeline
- 13:40Melodic Hook Entry
- 20:15Structural Climax
Coaching notes
- Study the timing of the final breakdown at 84:00 for master-level tension management.
- Observe the EQ carving during the 82:00 transition to see how to layer complex melodies without mud.
- Note the crowd interaction at the end; the silence is as important as the sound.
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 Stephan Bodzin's Stephan Bodzin Live at Wollman Rink for We Belong Here: Central Park 2024 get?
- Stephan Bodzin Live at Wollman Rink for We Belong Here: Central Park 2024 scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is Stephan Bodzin Live at Wollman Rink for We Belong Here: Central Park 2024?
- The analysed recording runs 1h 28m.
- 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.
Get the same breakdown on your own set: transitions, energy arc and measured execution.
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