wAFF — NATURECAST 006: FiRZA
House · 1h 01m · analysed 26 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, wAFF.
In short
NATURECAST 006: FiRZA by wAFF scores 74/100 in the SOONOS analysis (solid). The strongest dimension is IDENTITY (78/100) and the weakest is SURPRISE (68/100).
This DJ understands that the space between the beats is just as important as the beats themselves.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (14:00, 18:00, 22:00, 26:00, 34:00, 36:00). Long loops kill dancefloor momentum.
- Beat alignment needs work — typical drift of 32 ms — Measured median beat-grid drift is 32 ms across the transitions. Reference: pro ≤ 25 ms, needs work 30-42 ms, must be reworked > 42 ms. Above ~30 ms the kick flams and dancers feel the blend slipping.
What to try next
- Experiment with longer, more dramatic filter sweeps.
- Incorporate occasional vocal elements to create focal points.
- Introduce minor-key melodic pads to add emotional depth.
- Introduce more melodic or atmospheric elements to break up long percussive stretches.
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 with seamless low-end handover.
Clean transition that maintains the energy and groove perfectly.
Effective use of filtering to build tension before dropping the new track.
Smooth transition with excellent frequency separation.
Effective energy handoff using a quick EQ swap at the drop.
Smooth integration of new percussion layers over the existing groove.
About this house set
NATURECAST 006: FiRZA is a house DJ set by wAFF, running 1h 01m. It was measured by the SOONOS multi-agent engine and scores 74/100 overall — solid.
The engine files this performance as “Promising”.
This DJ understands that the space between the beats is just as important as the beats themselves.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 78/100; the weakest is SURPRISE at 68/100.
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 26 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 1444.2 grid breaks per hour, with a median beat offset of 32 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 understands that the space between the beats is just as important as the beats themselves.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%72
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%77
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%74
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%68
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%78
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (6)
Long EQ blend
Perfectly executed transition with seamless low-end handover.
Phrase-aligned swap
Clean transition that maintains the energy and groove perfectly.
High-pass filter transition
Effective use of filtering to build tension before dropping the new track.
Long EQ blend
Smooth transition with excellent frequency separation.
Drop swap
Effective energy handoff using a quick EQ swap at the drop.
Long EQ blend
Smooth integration of new percussion layers over the existing groove.
Technical subscores
83
EQ balance
89
Beat alignment
80
Energy control
89
Tempo stability
81
Loudness control
82
Musical coherence
81
Harmonic compatibility
86
Transition cleanliness
Measured (DSP)
32 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
221 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
3,623
Boundaries detected
Points where the audio changes track or section.
151
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
39
Clipping events
Moments where the recording hits the ceiling and distorts.
188
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 (14:00, 18:00, 22:00, 26:00, 34:00, 36:00). Long loops kill dancefloor momentum.
Beat alignment needs work — typical drift of 32 ms
Measured median beat-grid drift is 32 ms across the transitions. Reference: pro ≤ 25 ms, needs work 30-42 ms, must be reworked > 42 ms. Above ~30 ms the kick flams and dancers feel the blend slipping.
Timeline
- 03:30Groove Lock
- 07:15Energy Plateau
- 15:20Groove Lock
- 19:45Tension Peak
- 27:30Groove Lock Peak
Coaching notes
- Experiment with longer, more dramatic filter sweeps.
- Incorporate occasional vocal elements to create focal points.
- Introduce minor-key melodic pads to add emotional depth.
- Introduce more melodic or atmospheric elements to break up long percussive stretches.
- Experiment with longer breakdowns to build more tension before drops.
- Use creative FX or vocal stabs to add a more personal artistic signature to the set.
- Incorporate more dramatic energy resets (breakdowns) to avoid rhythmic fatigue.
- Experiment with harmonic mixing to add a layer of emotional depth to the transitions.
- Use more creative phrasing (e.g., 4-bar cuts) to add surprise to the set.
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 wAFF's NATURECAST 006: FiRZA get?
- NATURECAST 006: FiRZA scores 74/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
- How long is NATURECAST 006: FiRZA?
- The analysed recording runs 1h 01m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 78/100, while SURPRISE is the lowest at 68/100.
- 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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