Baseball Prediction Engine

Neural network-powered analysis to predict likely losing teams based on historical performance metrics. Adjust parameters and see how the network learns from baseball statistics.

Network Configuration

Hidden Layers

1 2 3 4 5

Neurons per Layer

2 4 6 8 10 12

Learning Rate

0.01 0.25 0.5

Training Data Parameters

Seasons

Stat Weight

Network Architecture

Team Performance Input

ERA

Errors

Loss Probability

Prediction Confidence

Enter team stats to predict

Team Loss Predictions

Training Progress

Key Baseball Metrics

ERA (Earned Run Average)

Average earned runs allowed by a pitcher per 9 innings. Higher = worse defense.

BA (Batting Average)

Hits divided by at bats. Higher = better offensive performance.

HR (Home Runs)

Total home runs hit. More = better offensive power.

Errors

Defensive mistakes leading to opponent advancement. More = worse defense.

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