Nina Kraviz — @ Ultra Europe 2022
Experimental Techno · 1h 54m · 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
@ Ultra Europe 2022 by Nina Kraviz scores 80/100 in the SOONOS analysis (club ready). The strongest dimension is STORYTELLING (89/100) and the weakest is SURPRISE (79/100).
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 (34:00, 38:00, 42:00, 58:30, 66:00, 104:00). Long loops kill dancefloor momentum.
What to try next
- Maintain the current technical precision.
- Introduce a 'reset' moment to manage crowd fatigue.
- Experiment with more creative transition techniques to build a unique signature.
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.
Seamless integration of the incoming track's percussion over the outgoing groove.
Clean handover of the low-end frequencies, maintaining the drive.
Intentional reset
Strategic disruption
About this experimental techno set
@ Ultra Europe 2022 is a experimental techno DJ set by Nina Kraviz, running 1h 54m. It was measured by the SOONOS multi-agent engine and scores 80/100 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 STORYTELLING at 89/100; the weakest is SURPRISE at 79/100.
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 27 points, moving between 70 and 98 on the SOONOS energy scale — a moderate dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 652.5 grid breaks per hour, with a median beat offset of 19 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
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%81
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%89
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%79
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%87
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (7)
Long EQ blend with high-pass filtering
Seamless integration of the incoming track's percussion over the outgoing groove.
Bass swap on the phrase downbeat
Clean handover of the low-end frequencies, maintaining the drive.
Perfect Blend
Minor EQ Overlap
Clean Drop Swap
intentional_reset
Perfect Phrasing
Minor Gain Jump
strategic_disruption
Technical subscores
85
EQ balance
93
Beat alignment
91
Energy control
95
Tempo stability
89
Loudness control
87
Musical coherence
84
Harmonic compatibility
88
Transition cleanliness
Measured (DSP)
19 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
200 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
6,815
Boundaries detected
Points where the audio changes track or section.
125
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
25
Clipping events
Moments where the recording hits the ceiling and distorts.
407
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 (34:00, 38:00, 42:00, 58:30, 66:00, 104:00). Long loops kill dancefloor momentum.
Timeline
- 2:15Groove Lock
- 7:45Tension Peak
Coaching notes
- Maintain the current technical precision.
- Introduce a 'reset' moment to manage crowd fatigue.
- Experiment with more creative transition techniques to build a unique signature.
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 @ Ultra Europe 2022 get?
- @ Ultra Europe 2022 scores 80/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is @ Ultra Europe 2022?
- The analysed recording runs 1h 54m.
- Which part of the mix scores best?
- STORYTELLING is the strongest category at 89/100, while SURPRISE is the lowest at 79/100.
- 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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