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Mathematical Model 📊

Explore the statistical foundation behind our MLB At-Bat Prediction Engine

Multi-Layer Prediction System

Our model uses a sophisticated multi-layer approach to predict at-bat outcomes

1

League Average Baseline

Starts with 2023 MLB averages as a statistical foundation.

2

Player Performance Adjustments

Individual statistics modify baseline probabilities based on skill.

3

Advanced Matchup Dynamics

Handedness, pitch-type effectiveness, and zone-based performance are analyzed.

4

Calibration & Normalization

Final probabilities are bounded and scaled to ensure realistic outcomes.

Key Statistical Inputs

Real 2023 MLB data powers our prediction engine

Pitcher Metrics

  • • ERA & WHIP
  • • K/9 & BB/9 rates
  • • Pitch arsenal usage %
  • • Zone targeting %

Batter Metrics

  • • AVG/OBP/SLG
  • • K% & BB% rates
  • • Performance by pitch type
  • • Performance by zone

Matchup Factors

  • • Handedness matchups (L vs R)
  • • Pitch-type effectiveness (e.g., Batter vs. Slider)
  • • Zone performance (e.g., Pitcher targets high vs. Batter hits high)
  • • Historical head-to-head data