Neural Network Architecture

DATA IS THE
NEW PITCH.

Our ML model identifies high-probability xG opportunities using spatial coordinates, defender positioning, and ball velocity.

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Model Confidence
94.2%
Neural Result
3.14 Expected Goals
01. Spatial Data

Spatial Coordinate Tracking

We calculate xG based on player proximity and blocking probability, not just distance from goal.

02. Deep Learning

Neural Network v4

Our model trained on 10 million+ historical shots across all major global leagues to define true shot quality.

03. Architecture

Sub-Second Latency

Proprietary trading infrastructure designed for professional high-frequency sports markets.