Trampa — Ni que hagan trampa es Valencia y ya🥷🏻🤓✨- YosnaPalacios
Dubstep · 1h 12m · analysed 25 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, Trampa.
In short
Ni que hagan trampa es Valencia y ya🥷🏻🤓✨- YosnaPalacios by Trampa scores 68/100 in the SOONOS analysis (developing). The strongest dimension is TECHNIQUE (85/100) and the weakest is SURPRISE (66/100).
The engine files this performance as “Promising”.
Key takeaways
What weakened the set
- Recurring mid-frequency clash (2×) — Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (04:40, 18:45).
- Long static loops (5×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (7:30, 33:00, 36:00, 40:00, 48:00). Long loops kill dancefloor momentum.
What to try next
- Incorporate more melodic elements to add narrative depth.
- Use breakdowns to create dynamic tension and release.
- Experiment with vocal hooks to increase crowd engagement.
- Vary transition lengths to keep the pacing unpredictable.
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.
Smooth transition maintaining the percussive energy.
Effective use of vocal elements to mask the track change.
Smooth transition, maintaining vocal energy while swapping the bassline.
Slightly abrupt energy shift, though beatmatching remains solid.
Effective use of high-pass filter to introduce the next track's hats.
Smooth transition maintaining the rhythmic pocket.
About this dubstep set
Ni que hagan trampa es Valencia y ya🥷🏻🤓✨- YosnaPalacios is a dubstep DJ set by Trampa, running 1h 12m. It was measured by the SOONOS multi-agent engine and scores 68/100 overall — developing.
The engine files this performance as “Promising”.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is TECHNIQUE at 85/100; the weakest is SURPRISE at 66/100.
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 32 points, moving between 65 and 88 on the SOONOS energy scale — a moderate dynamic range across the set.
6 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 174.1 grid breaks per hour, with a median beat offset of 12 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%85
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%71
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%69
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%66
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%72
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (6)
EQ-based blend with low-end swap
Smooth transition maintaining the percussive energy.
Vocal-led phrase transition
Effective use of vocal elements to mask the track change.
EQ blend with vocal overlap
Smooth transition, maintaining vocal energy while swapping the bassline.
Quick cut on the downbeat
Slightly abrupt energy shift, though beatmatching remains solid.
Long filter sweep blend
Effective use of high-pass filter to introduce the next track's hats.
EQ-balanced percussive blend
Smooth transition maintaining the rhythmic pocket.
Technical subscores
73
EQ balance
82
Beat alignment
75
Energy control
86
Tempo stability
77
Loudness control
74
Musical coherence
74
Harmonic compatibility
76
Transition cleanliness
Measured (DSP)
12 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
57 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
4,303
Boundaries detected
Points where the audio changes track or section.
25
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
3
Clipping events
Moments where the recording hits the ceiling and distorts.
189
Level jumps
Sudden volume steps between tracks.
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Recurring mid-frequency clash
Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (04:40, 18:45).
Long static loops (5×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (7:30, 33:00, 36:00, 40:00, 48:00). Long loops kill dancefloor momentum.
Timeline
- 04:45Vocal Peak
- 09:15Energy Plateau
- 16:45Groove Lock
- 20:15Energy Plateau
- 18:45Risky pressure or vibe dip
Coaching notes
- Incorporate more melodic elements to add narrative depth.
- Use breakdowns to create dynamic tension and release.
- Experiment with vocal hooks to increase crowd engagement.
- Vary transition lengths to keep the pacing unpredictable.
- Practice subtractive EQing to create space for incoming tracks.
- Introduce more dynamic energy shifts to avoid plateaus.
- Experiment with longer, more layered transitions to build tension.
- Incorporate more mid-transition EQ work to add texture during long blends.
- Experiment with shorter, more aggressive transitions to increase energy spikes.
- Use vocal loops as rhythmic elements during percussive tracks to maintain thematic consistency.
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 Trampa's Ni que hagan trampa es Valencia y ya🥷🏻🤓✨- YosnaPalacios get?
- Ni que hagan trampa es Valencia y ya🥷🏻🤓✨- YosnaPalacios scores 68/100 in the SOONOS Mix Database (developing), based on audio measurement plus multi-agent listening.
- How long is Ni que hagan trampa es Valencia y ya🥷🏻🤓✨- YosnaPalacios?
- The analysed recording runs 1h 12m.
- Which part of the mix scores best?
- TECHNIQUE is the strongest category at 85/100, while SURPRISE is the lowest at 66/100.
- 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.
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