Advanced Soccer Prediction Engine

Comprehensive neural network analysis using 12 key performance metrics to predict match outcomes. The system learns from extensive soccer statistics to provide accurate loss probability predictions.

Network Configuration

Hidden Layers

1 2 3 4 5

Neurons per Layer

2 6 12 16 20

Learning Rate

0.01 0.25 0.5

Training Data Parameters

Seasons

Stat Weight

Network Architecture

Team Performance Input

OFF Shots on Target

OFF Goals Scored

OFF Key Passes

OFF Dribbles

DEF Goals Conceded

DEF Tackles

DEF Interceptions

DEF Clearances

TMW Pass Accuracy %

TMW Cross Accuracy %

DSC Yellow Cards

DSC Red Cards

Loss Probability

Prediction Confidence

Enter team stats to predict

Team Loss Predictions

Training Progress

Key Soccer Metrics

OFF Offensive Metrics

Shots on Target: Direct attempts on goal
Goals Scored: Total goals per season
Key Passes: Passes leading to shots
Dribbles: Successful player runs

DEF Defensive Metrics

Goals Conceded: Goals allowed
Tackles: Successful defensive challenges
Interceptions: Passes intercepted
Clearances: Defensive removals

TMW Teamwork Metrics

Pass Accuracy: Successful pass percentage
Cross Accuracy: Successful crosses

DSC Discipline Metrics

Yellow Cards: Cautions received
Red Cards: Ejections received