Mita Gami — Maz @ Warm Up for Sébastien Léger + Adam Ten & Mita Gami, Warung [11/02/24]
Melodic House · 2h 30m · Warung Beach Club · analysed 24 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, Mita Gami.
In short
Maz @ Warm Up for Sébastien Léger + Adam Ten & Mita Gami, Warung [11/02/24] by Mita Gami scores 84/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (91/100) and the weakest is SURPRISE (81/100).
Maz proves that restraint is a powerful tool, creating a deep, hypnotic space that is both physically and emotionally engaging.
Key takeaways
What worked
- Pacing
- Technical Precision
- Atmospheric Depth
- Technical transparency
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 13:30, 19:00, 31:00, 35:00, 40:00). Long loops kill dancefloor momentum.
What to try next
- Continue to leverage long blends; they are your technical signature.
- Consider a brief 'reset' (16 bars of ambient texture) to reset the crowd's ears before a major energy shift.
- Explore adding live percussive elements or loops to further distinguish your organic sound.
- Continue to leverage long blends to maintain the hypnotic state.
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.
A textbook organic house blend; the transition is felt rather than heard.
Smooth integration of melodic elements; the keys complement each other perfectly.
A masterclass in patience. The tracks merge so perfectly it's hard to tell where one ends.
Clean energy handoff. The new percussion loop adds immediate drive.
A very smooth transition that respects the percussive integrity of both tracks.
The DJ expertly weaves the incoming track's pads into the outgoing track's groove.
About this melodic house set
Maz @ Warm Up for Sébastien Léger + Adam Ten & Mita Gami, Warung [11/02/24] is a melodic house DJ set by Mita Gami, running 2h 30m. It was measured by the SOONOS multi-agent engine and scores 84/100 overall — club ready.
The engine files this performance as “Promising”.
Maz proves that restraint is a powerful tool, creating a deep, hypnotic space that is both physically and emotionally engaging.
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 81/100.
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 78 points, moving between 30 and 86 on the SOONOS energy scale — a wide dynamic range across the set.
6 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 444.8 grid breaks per hour, with a median beat offset of 21 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
Maz proves that restraint is a powerful tool, creating a deep, hypnotic space that is both physically and emotionally engaging.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%86
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%88
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%81
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 (6)
64-bar EQ blend with low-end swap
A textbook organic house blend; the transition is felt rather than heard.
Harmonic blend with high-pass filter transition
Smooth integration of melodic elements; the keys complement each other perfectly.
64-bar harmonic blend with surgical EQ
A masterclass in patience. The tracks merge so perfectly it's hard to tell where one ends.
Percussive swap on the 32nd bar
Clean energy handoff. The new percussion loop adds immediate drive.
Long EQ blend, low-end swap on phrase.
A very smooth transition that respects the percussive integrity of both tracks.
Progressive layering of melodic elements.
The DJ expertly weaves the incoming track's pads into the outgoing track's groove.
Technical subscores
88
EQ balance
94
Beat alignment
87
Energy control
94
Tempo stability
86
Loudness control
91
Musical coherence
91
Harmonic compatibility
90
Transition cleanliness
Measured (DSP)
21 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
222 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
8,969
Boundaries detected
Points where the audio changes track or section.
37
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
190
Clipping events
Moments where the recording hits the ceiling and distorts.
322
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, 13:30, 19:00, 31:00, 35:00, 40:00). Long loops kill dancefloor momentum.
What SOONOS heard
- Pacing
- Technical Precision
- Atmospheric Depth
- Technical transparency
- Narrative flow
- Groove stability
Timeline
- 04:30The Groove Lock
- 09:15Melodic Introduction
- 14:40Atmospheric Shift
- 19:25Vocal Peak
- 27:45Groove Lock
Coaching notes
- Continue to leverage long blends; they are your technical signature.
- Consider a brief 'reset' (16 bars of ambient texture) to reset the crowd's ears before a major energy shift.
- Explore adding live percussive elements or loops to further distinguish your organic sound.
- Continue to leverage long blends to maintain the hypnotic state.
- Experiment with subtle vocal layering to add a human element to the organic textures.
- Maintain the current level of EQ precision, as it is a hallmark of your sound.
- Experiment with slightly more aggressive filtering during the longest blends to create more movement.
- Consider introducing a very subtle, recurring melodic motif to tie the chapters together even more tightly.
- Maintain the current level of restraint; it is your most professional attribute.
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 Mita Gami's Maz @ Warm Up for Sébastien Léger + Adam Ten & Mita Gami, Warung [11/02/24] get?
- Maz @ Warm Up for Sébastien Léger + Adam Ten & Mita Gami, Warung [11/02/24] scores 84/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is Maz @ Warm Up for Sébastien Léger + Adam Ten & Mita Gami, Warung [11/02/24]?
- The analysed recording runs 2h 30m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 91/100, while SURPRISE is the lowest at 81/100.
- 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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