Tale of Us — Tale Of Us - Live @ Time Warp 2016 (Mannheim) - 03-04-2016
Melodic Techno · 1h 57m · Time Warp · analysed 18 Aug 2026
About this melodic techno set
Tale Of Us - Live @ Time Warp 2016 (Mannheim) - 03-04-2016 is a melodic techno DJ set by Tale of Us, running 1h 57m. It was measured by the SOONOS multi-agent engine and scores 75/100 overall — solid.
The engine files this performance as “Promising”.
This segment demonstrates how technical perfection can be used to serve a deep, emotional narrative rather than just technical display.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 95/100; the weakest is TECHNIQUE at 82/100.
The final score is capped by measured bm: the DSP layer overrides the listening layer whenever it measures an execution issue directly in the audio.
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 47 points, moving between 30 and 92 on the SOONOS energy scale — a wide dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 251.0 grid breaks per hour, with a median beat offset of 28 ms.
Full SOONOS analysis
This segment demonstrates how technical perfection can be used to serve a deep, emotional narrative rather than just technical display.
The 8 dimensions
Score breakdown
TECHNIQUE
How well did you execute?
25%82
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%92
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%88
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%85
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%95
IDENTITY
Did the mix sound like you?
Final score capped by measured execution (bm) — weighted average was 88.
Energy arc
Transitions analysed (7)
Perfect Blend
Atmospheric Layering
Long EQ blend with low-end swap
Flawless transition, maintaining the deep atmospheric tension.
Progressive layering and EQ filtering
Smooth introduction of percussive elements to build energy.
Harmonic blend with atmospheric pads
Perfectly executed harmonic transition that enhances the emotional arc.
Long EQ blend with subtle high-pass filtering.
Invisible handover; the percussion of the incoming track perfectly complements the outgoing bassline.
Harmonic blend over 32 bars.
The melodic elements of both tracks harmonize perfectly, creating a lush soundscape.
Technical subscores
91
EQ balance
96
Beat alignment
90
Energy control
96
Tempo stability
89
Loudness control
93
Musical coherence
95
Harmonic compatibility
93
Transition cleanliness
Measured (DSP)
28.1 ms
Beat-grid drift (median)
100.8 ms
Drift p95
7,030
Boundaries detected
98
Hard cuts / h
126
Clipping events
392
Level jumps
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, 26:00, 32:00, 35:00, 40:00, 70:00). Long loops kill dancefloor momentum.
Timeline
- 15:20Atmospheric Peak
- 19:10Groove Lock
- 27:45Melodic Integration
Coaching notes
- Continue to master the art of the long, patient blend.
- Experiment with even more complex melodic layering in the closing stages.
- Maintain this level of narrative focus in all performance contexts.
Curious how your own set scores?
Questions about this analysis
- What score does Tale of Us's Tale Of Us - Live @ Time Warp 2016 (Mannheim) - 03-04-2016 get?
- Tale Of Us - Live @ Time Warp 2016 (Mannheim) - 03-04-2016 scores 75/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
- How long is Tale Of Us - Live @ Time Warp 2016 (Mannheim) - 03-04-2016?
- The analysed recording runs 1h 57m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 95/100, while TECHNIQUE is the lowest at 82/100.
- 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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