Mita Gami — Mita Gami Live from MidBurn 2017 (Chill)
Melodic House · 58 min · 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
Mita Gami Live from MidBurn 2017 (Chill) by Mita Gami scores 78/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (90/100) and the weakest is SURPRISE (77/100).
This DJ understands that in a chill-out set, the space between the notes is as important as the notes themselves.
Key takeaways
What weakened the set
- Long static loops (3×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (35:00, 39:00, 46:00). Long loops kill dancefloor momentum.
What to try next
- Use high-pass filters more aggressively during long blends to create space.
- Introduce subtle rhythmic variations (e.g., 16th note shakers) to signal energy shifts.
- Experiment with brief moments of silence or atmospheric breaks to reset the tension.
- Maintain the current level of restraint; it is your greatest technical asset.
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 very patient transition that allows the organic textures to overlap without clutter.
Smooth transition focusing on the melodic elements; the energy remains very stable.
A beautiful, slow introduction of the incoming percussive elements.
Clean handover of the low-end energy, maintaining the hypnotic groove.
A textbook organic house transition. The percussion of the incoming track is introduced so subtly it feels like an arrangement change.
About this melodic house set
Mita Gami Live from MidBurn 2017 (Chill) is a melodic house DJ set by Mita Gami, running 58 min. It was measured by the SOONOS multi-agent engine and scores 78/100 overall — club ready.
The engine files this performance as “Promising”.
This DJ understands that in a chill-out set, the space between the notes is as important as the notes themselves.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 90/100; the weakest is SURPRISE at 77/100.
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 20 points, moving between 30 and 82 on the SOONOS energy scale — a wide dynamic range across the set.
5 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 809.1 grid breaks per hour, with a median beat offset of 25 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 in a chill-out set, the space between the notes is as important as the notes 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%84
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%83
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%82
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%77
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%90
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (5)
Long EQ blend with low-end swap
A very patient transition that allows the organic textures to overlap without clutter.
Mid-range focused blend
Smooth transition focusing on the melodic elements; the energy remains very stable.
Long EQ blend with high-pass filter transition
A beautiful, slow introduction of the incoming percussive elements.
Bass-swap on phrase boundary
Clean handover of the low-end energy, maintaining the hypnotic groove.
Long EQ blend with low-end swap on phrase
A textbook organic house transition. The percussion of the incoming track is introduced so subtly it feels like an arrangement change.
Technical subscores
85
EQ balance
92
Beat alignment
83
Energy control
93
Tempo stability
84
Loudness control
90
Musical coherence
91
Harmonic compatibility
88
Transition cleanliness
Measured (DSP)
25 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
201 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
3,445
Boundaries detected
Points where the audio changes track or section.
55
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
31
Clipping events
Moments where the recording hits the ceiling and distorts.
571
Level jumps
Sudden volume steps between tracks.
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Long static loops (3×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (35:00, 39:00, 46:00). Long loops kill dancefloor momentum.
Timeline
- 0:45Atmospheric Hook
- 5:30Vocal Peak
- 8:15Energy Plateau
- 16:45Atmospheric Peak
- 21:20Narrative Shift
Coaching notes
- Use high-pass filters more aggressively during long blends to create space.
- Introduce subtle rhythmic variations (e.g., 16th note shakers) to signal energy shifts.
- Experiment with brief moments of silence or atmospheric breaks to reset the tension.
- Maintain the current level of restraint; it is your greatest technical asset.
- Experiment with even longer blends (64+ bars) to further blur the lines between tracks.
- Consider adding subtle field recordings (wind, birds, desert sounds) to enhance the organic atmosphere.
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 Mita Gami Live from MidBurn 2017 (Chill) get?
- Mita Gami Live from MidBurn 2017 (Chill) scores 78/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is Mita Gami Live from MidBurn 2017 (Chill)?
- The analysed recording runs 58 min.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 90/100, while SURPRISE is the lowest at 77/100.
- 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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