Kerri Chandler — Cafe Del Mar Classics Sundown Mix WIL112 - Miguel Migs, Groove Armada, Sade, Kaskade, Kerri Chandler
House · 2h 07m · analysed 19 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, Kerri Chandler.
In short
Cafe Del Mar Classics Sundown Mix WIL112 - Miguel Migs, Groove Armada, Sade, Kaskade, Kerri Chandler by Kerri Chandler scores 81/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (91/100) and the weakest is SURPRISE (79/100).
This DJ understands that the space between the tracks is just as important as the tracks themselves.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (29:00, 38:30, 46:00, 56:00, 66:00, 69:00). Long loops kill dancefloor momentum.
What to try next
- Continue prioritizing long, phrase-aligned blends.
- Use subtle FX to bridge longer instrumental passages.
- Maintain the high standard of harmonic selection.
- Consider a 'classic' vocal drop to anchor the set's identity.
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.
Beautifully executed transition that respects the phrasing of both tracks.
Smooth transition into a more vocal-led track, maintaining the groove perfectly.
Intentional reset
A textbook deep house transition, perfectly transparent and musically aligned.
Smooth introduction of a vocal track, maintaining the sunset vibe perfectly.
About this house set
Cafe Del Mar Classics Sundown Mix WIL112 - Miguel Migs, Groove Armada, Sade, Kaskade, Kerri Chandler is a house DJ set by Kerri Chandler, running 2h 07m. It was measured by the SOONOS multi-agent engine and scores 81/100 overall — club ready.
The engine files this performance as “Promising”.
This DJ understands that the space between the tracks is just as important as the tracks themselves.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 91/100; 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 57 points, moving between 20 and 82 on the SOONOS energy scale — a wide dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 162.7 grid breaks per hour, with a median beat offset of 20 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 tracks is just as important as the tracks 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%88
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%86
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%86
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%91
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (7)
Long EQ blend with high-pass filtering
Beautifully executed transition that respects the phrasing of both tracks.
Harmonic blend with mid-range focus
Smooth transition into a more vocal-led track, maintaining the groove perfectly.
Perfect Harmonic Blend
Minor EQ Overlap
intentional_reset
Seamless Phrasing
Long EQ blend with low-end swap
A textbook deep house transition, perfectly transparent and musically aligned.
Melodic layering and filter fade
Smooth introduction of a vocal track, maintaining the sunset vibe perfectly.
Technical subscores
87
EQ balance
93
Beat alignment
83
Energy control
93
Tempo stability
85
Loudness control
91
Musical coherence
92
Harmonic compatibility
90
Transition cleanliness
Measured (DSP)
20 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
52 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
7,590
Boundaries detected
Points where the audio changes track or section.
42
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
53
Clipping events
Moments where the recording hits the ceiling and distorts.
333
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 (29:00, 38:30, 46:00, 56:00, 66:00, 69:00). Long loops kill dancefloor momentum.
Timeline
- 0:45Atmospheric Hook
- 6:15Groove Lock
- 26:10Soulful Peak
Coaching notes
- Continue prioritizing long, phrase-aligned blends.
- Use subtle FX to bridge longer instrumental passages.
- Maintain the high standard of harmonic selection.
- Consider a 'classic' vocal drop to anchor the set's identity.
- Introduce more mid-range EQ variation during long blends to keep the listener's ear engaged.
- Try a 'double-drop' technique where you swap the basslines of two tracks simultaneously for a more dynamic energy shift.
- Incorporate more field recordings or ambient textures between tracks to further lean into the 'Cafe Del Mar' aesthetic.
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 Kerri Chandler's Cafe Del Mar Classics Sundown Mix WIL112 - Miguel Migs, Groove Armada, Sade, Kaskade, Kerri Chandler get?
- Cafe Del Mar Classics Sundown Mix WIL112 - Miguel Migs, Groove Armada, Sade, Kaskade, Kerri Chandler scores 81/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is Cafe Del Mar Classics Sundown Mix WIL112 - Miguel Migs, Groove Armada, Sade, Kaskade, Kerri Chandler?
- The analysed recording runs 2h 07m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 91/100, 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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