Fideles — 2022-06-17 - Essential Mix - Fideles
Melodic Techno · 1h 60m · analysed 23 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, Fideles.
In short
2022-06-17 - Essential Mix - Fideles by Fideles scores 85/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (93/100) and the weakest is SURPRISE (83/100).
The engine files this performance as “Promising”.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 10:00, 14:00, 20:00, 28:30, 34:00). Long loops kill dancefloor momentum.
What to try next
- Experiment with slightly more aggressive EQ cuts to create sharper rhythmic transitions.
- Utilize external FX units to add unique textures to the long blends.
- Incorporate a non-melodic, percussive track to provide a brief contrast to the synth-heavy selection.
- Maintain the current balance of rhythmic drive and melodic atmosphere.
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 from the atmospheric intro into the first rhythmic track. The low-end enters exactly on the phrase.
A very smooth blend where the incoming melody complements the outgoing track perfectly. The transition is almost imperceptible.
A textbook melodic techno transition. The incoming track's percussion is introduced early, followed by a gradual mid-range handover and a precise bass swap at the 32-bar mark.
About this melodic techno set
2022-06-17 - Essential Mix - Fideles is a melodic techno DJ set by Fideles, running 1h 60m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.
The engine files this performance as “Promising”.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 93/100; the weakest is SURPRISE at 83/100.
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 60 points, moving between 20 and 90 on the SOONOS energy scale — a wide dynamic range across the set.
5 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 539.7 grid breaks per hour, with a median beat offset of 15 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%90
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%90
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%87
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%83
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%93
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (5)
Long EQ blend with high-pass filter handover
Perfectly executed transition from the atmospheric intro into the first rhythmic track. The low-end enters exactly on the phrase.
Harmonic layering with gradual mid-range swap
A very smooth blend where the incoming melody complements the outgoing track perfectly. The transition is almost imperceptible.
Transition
Transition
Long EQ blend with low-end swap on phrase
A textbook melodic techno transition. The incoming track's percussion is introduced early, followed by a gradual mid-range handover and a precise bass swap at the 32-bar mark.
Technical subscores
90
EQ balance
95
Beat alignment
88
Energy control
96
Tempo stability
89
Loudness control
93
Musical coherence
95
Harmonic compatibility
93
Transition cleanliness
Measured (DSP)
15 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
168 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
7,178
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.
0
Clipping events
Moments where the recording hits the ceiling and distorts.
243
Level jumps
Sudden volume steps between tracks.
Measurement confidence 99% · 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, 10:00, 14:00, 20:00, 28:30, 34:00). Long loops kill dancefloor momentum.
Timeline
- 0:45Cinematic Hook
- 6:30Groove Lock
- 10:15Melodic Peak
- 28:30Tension Peak
Coaching notes
- Experiment with slightly more aggressive EQ cuts to create sharper rhythmic transitions.
- Utilize external FX units to add unique textures to the long blends.
- Incorporate a non-melodic, percussive track to provide a brief contrast to the synth-heavy selection.
- Maintain the current balance of rhythmic drive and melodic atmosphere.
- Explore even longer transition windows to further enhance the hypnotic effect.
- Consider introducing more organic percussion elements to contrast the digital synths.
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 Fideles's 2022-06-17 - Essential Mix - Fideles get?
- 2022-06-17 - Essential Mix - Fideles scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is 2022-06-17 - Essential Mix - Fideles?
- The analysed recording runs 1h 60m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 93/100, while SURPRISE is the lowest at 83/100.
- 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.
More Fideles sets analysed
- Fideles | Brunch Electronik Barcelona Festival 202388
- Fideles @ Brunch Electronik Festival 12.08.2023 - Harmonik Stag88
- Fideles| CRSSD Festival Live Set Fall 202385
- Fideles fabric Promo Mix83
- KMIX 006: Vintage Culture, Camelphat, Adriatique, Massano, Fideles & Artbat | Melodic Techno Mix78
- Light In The Dark - Melodic Techno Mix #1 [Massano, Rebuke, Agents of Time, Fideles, ARTBAT, Kolsch]75
Similar melodic techno sets
- Artbat — ARTBAT - Diynamic Radioshow - November 201685
- WhoMadeWho — Ellum Party, Sonar - Whomadewho (Dj Set)85
- Setaoc Mass — Upperberry | Setaoc Mass85
- Mind Against — RA Podcast: RA.482 Mind Against85
- Stephan Bodzin — Stephan Bodzin Live at Wollman Rink for We Belong Here: Central Park 202485
- Recondite — Recondite_DJset@Code_Soho_Garden_DXB85
- Ben Böhmer — Ben Böhmer / Liva PA / One Day Festival / London / 21.06.201485
- WhoMadeWho — WhoMadeWho - Monkey Project - Istanbul85
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.
Guides: How SOONOS works · DJ guides and research