Nina Kraviz — Exit festival closing 2017
Experimental Techno · 2h 27m · Exit Festival · analysed 18 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, Nina Kraviz.
In short
Exit festival closing 2017 by Nina Kraviz scores 86/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (93/100) and the weakest is SURPRISE (83/100).
This DJ treats the mix as a continuous wall of sound, using subtle rhythmic shifts to maintain momentum without breaking the trance.
Key takeaways
What worked
- Exceptional energy management
- Technical precision in high-pressure blends
- Deep understanding of crowd psychology
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 31:00, 45:00, 56:00, 66:00, 74:00). Long loops kill dancefloor momentum.
What to try next
- Experiment with more dramatic filter work.
- Layer in subtle melodic elements to deepen the atmosphere.
- Vary the length of breakdowns to keep the crowd guessing.
- Experiment with longer, more dramatic filter sweeps to enhance tension.
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.
Masterful transition where the sub-bass of the incoming track replaces the outgoing one so smoothly it feels like a single arrangement.
Uses a high-pass filter on the outgoing track to make room for the incoming groove's low-mids.
Strategic disruption
Perfectly executed transition that maintains the groove without any audible dip.
Smooth integration of new rhythmic elements, enhancing the overall drive.
About this experimental techno set
Exit festival closing 2017 is a experimental techno DJ set by Nina Kraviz, running 2h 27m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.
The engine files this performance as “Promising”.
This DJ treats the mix as a continuous wall of sound, using subtle rhythmic shifts to maintain momentum without breaking the trance.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 93/100; the weakest is SURPRISE at 83/100.
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 71 points, moving between 40 and 96 on the SOONOS energy scale — a wide dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 293.3 grid breaks per hour, with a median beat offset of 25 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.
Measured coverage for this file is 100% of the set.
Full SOONOS analysis
This DJ treats the mix as a continuous wall of sound, using subtle rhythmic shifts to maintain momentum without breaking the trance.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%84
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%83
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%93
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (7)
Long EQ blend with low-end handover
Masterful transition where the sub-bass of the incoming track replaces the outgoing one so smoothly it feels like a single arrangement.
Filter-assisted layering
Uses a high-pass filter on the outgoing track to make room for the incoming groove's low-mids.
Perfect Blend
Seamless Handover
Minor EQ Overlap
strategic_disruption
Long EQ blend with low-end swap
Perfectly executed transition that maintains the groove without any audible dip.
Layered percussive blend
Smooth integration of new rhythmic elements, enhancing the overall drive.
Technical subscores
90
EQ balance
94
Beat alignment
91
Energy control
95
Tempo stability
90
Loudness control
91
Musical coherence
86
Harmonic compatibility
89
Transition cleanliness
Measured (DSP)
25 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
117 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
8,777
Boundaries detected
Points where the audio changes track or section.
98
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
41
Clipping events
Moments where the recording hits the ceiling and distorts.
398
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 (0:00, 31:00, 45:00, 56:00, 66:00, 74:00). Long loops kill dancefloor momentum.
What SOONOS heard
- Exceptional energy management
- Technical precision in high-pressure blends
- Deep understanding of crowd psychology
Timeline
- 0:30Atmospheric Hook
- 7:45Groove Lock Peak
- 27:45Groove Lock Peak
Coaching notes
- Experiment with more dramatic filter work.
- Layer in subtle melodic elements to deepen the atmosphere.
- Vary the length of breakdowns to keep the crowd guessing.
- Experiment with longer, more dramatic filter sweeps to enhance tension.
- Introduce a brief atmospheric breakdown to add emotional depth.
- Monitor high-frequency levels during dense layering to avoid harshness.
- Maintain the current level of technical precision.
- Experiment with longer atmospheric breakdowns to enhance emotional payoff.
- Continue to prioritize groove continuity over flashy transitions.
- Continue to use long, transparent blends to maintain percussive hypnosis.
- Experiment with subtle melodic teases earlier in the peak phase to enhance the final resolution.
- Maintain the high-quality percussive layering that defines this segment's energy.
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 Nina Kraviz's Exit festival closing 2017 get?
- Exit festival closing 2017 scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is Exit festival closing 2017?
- The analysed recording runs 2h 27m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 93/100, 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.
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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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