EXCLUSIVE ANALYSIS · EMOTION INTELLIGENCE

Most post-match analysis looks at tactics.
We looked at faces.

Using EchoDepth's facial Action Unit engine, we broke down post-match interviews from two of the Premier League's most watched managers — and found something their press conferences can't hide.

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Facial Action Units Analysed
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Emotions Tracked Per Frame
Real-time
Millisecond Precision
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Most post-match analysis focuses on tactics, stats, and possession.

We analysed something different.

Emotion.

Specifically: what happens to a manager's emotional state when the pressure is highest — and what that predicts about the next 90 minutes.

EchoDepth's facial analysis engine doesn't guess. It reads 44 facial Action Units frame-by-frame, maps them to 47 discrete emotional states, and derives three composite signals:

→ Confidence

→ Instability

→ Net Confidence (Confidence − Instability = Predictive Performance Edge)

Here's what we found.

Post-Match Emotional Profile

Premier League 2024–25

Mikel Arteta · Arsenal FC
Confidence0.32
Instability0.41
Net Confidence−0.09

Emotion Signals

ConcentrationHigh
DoubtElevated
DisappointmentSignificant
InterestModerate spikes
DistressPresent
VOLATILE PATTERN

Emotional instability exceeds confidence threshold

Emotional volatility → Fragmented confidence → Higher performance risk

Pep Guardiola · Manchester City
Confidence0.58
Instability0.22
Net Confidence+0.36

Emotion Signals

CalmnessConsistent
ConcentrationSustained
DoubtLow
InterestStable
ContentmentPresent
STABLE PATTERN

Confidence sustained above instability throughout

Emotional stability → Sustained confidence → Higher execution reliability

Confidence − Instability = Predictive Performance Edge
Data derived from 47-point emotional profile analysis across post-match interview footage.

“It's not about who looks confident.
It's about who stays confident over time.”

— EchoDepth Analysis Engine

Emotional Volatility Predicts Risk

Short-term confidence spikes without sustained stability signal fragmented decision-making under pressure.

Net Confidence = Performance Edge

Subtract instability from confidence and you get a number that correlates with consistent execution.

AI Reads What Cameras Miss

44 facial Action Units. 47 emotions. Millisecond precision. Before the match kicks off.

Pre-Match Prediction Intelligence

Coming Soon — Limited Beta Access

Post-match is just the start. EchoDepth is building pre-match emotional profiling — analysing press conference footage before a ball is kicked to surface confidence trajectories and performance risk before the result happens.

Beta Access Required

MATCHDAY CONFIDENCE SCORE

Real-time confidence trajectory for both managers, derived from pre-match press conference analysis.

Beta Access Required

EMOTIONAL RISK RATING

Composite instability score surfaced 24 hours before kick-off. Know before they know.

Beta Access Required

PREDICTIVE PERFORMANCE EDGE

Head-to-head net confidence comparison. Who has the psychological edge before the whistle blows?

First 500 beta users get free access to the full pre-match dashboard.

342 spots remaining.

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Analysis conducted using EchoDepth multimodal emotion intelligence platform.
44 facial Action Units analysed using FACS-aligned detection across video footage.
Results represent averaged emotional state scores across sampled frames.
This analysis is for informational and demonstration purposes.

EchoDepth is a product of Cavefish Ltd · Cardiff, Wales · echodepthsports.com