Pan-Pot — PAN-POT - OURS / Blaues Wasser Frankfurt 20260718
Peak Techno · 2h 00m · analysed 19 Aug 2026
About this peak techno set
PAN-POT - OURS / Blaues Wasser Frankfurt 20260718 is a peak techno DJ set by Pan-Pot, running 2h 00m. It was measured by the SOONOS multi-agent engine and scores 84/100 overall — club 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 91/100; the weakest is SURPRISE at 80/100.
The final score is capped by measured -: 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 46 points, moving between 65 and 94 on the SOONOS energy scale — a moderate dynamic range across the set.
6 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 381.0 grid breaks per hour, with a median beat offset of 25 ms.
Full SOONOS analysis
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%88
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%84
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%80
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%91
IDENTITY
Did the mix sound like you?
Final score capped by measured execution (-) — weighted average was 85.
Energy arc
Transitions analysed (6)
Long EQ blend with low-end handover
A textbook hypnotic techno transition. The incoming kick replaces the outgoing sub-bass so smoothly it feels like a single evolving track.
Percussive layering and high-pass filter sweep
Excellent use of layering to increase energy. The transition is used as a structural build-up rather than just a track change.
Filter-down transition with reverb wash
A deliberate energy reset. The reverb tail is a bit long, causing a slight loss of momentum.
Long EQ blend, low-end swap on phrase
Textbook techno transition. The tracks are perfectly matched in timbre and energy.
Long percussive blend with gradual EQ swap
Smooth transition maintaining the rhythmic pocket. The incoming track's hats are introduced early to bridge the gap.
Low-end swap on the downbeat of a new phrase
Textbook execution. The energy handoff is seamless, creating a sense of continuous forward motion.
Technical subscores
89
EQ balance
94
Beat alignment
89
Energy control
96
Tempo stability
88
Loudness control
89
Musical coherence
85
Harmonic compatibility
91
Transition cleanliness
Measured (DSP)
24.7 ms
Beat-grid drift (median)
141.3 ms
Drift p95
7,211
Boundaries detected
116
Hard cuts / h
5
Clipping events
289
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 (17:30, 26:00, 32:00, 36:00, 40:12, 60:00). Long loops kill dancefloor momentum.
Timeline
- 15:45Groove Peak
- 21:30Tension Plateau
- 13:07Risky pressure or vibe dip
- 28:15Percussive Peak
Coaching notes
- Use more dramatic filter sweeps to signal major phrase changes.
- Experiment with brief rhythmic 'drop-outs' to create tension.
- Introduce a subtle melodic element to provide an emotional anchor.
Curious how your own set scores?
Questions about this analysis
- What score does Pan-Pot's PAN-POT - OURS / Blaues Wasser Frankfurt 20260718 get?
- PAN-POT - OURS / Blaues Wasser Frankfurt 20260718 scores 84/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is PAN-POT - OURS / Blaues Wasser Frankfurt 20260718?
- The analysed recording runs 2h 00m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 91/100, while SURPRISE is the lowest at 80/100.
- 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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