Park Factor Scoring Environment

Overview

This pillar analyzes how the unique dimensions and atmospheric conditions of each MLB stadium affect scoring. It provides a crucial adjustment for predicting game totals and player performance, revealing hidden value in trading lines.

What It Does

It calculates a normalized 'Park Factor' for every MLB stadium by comparing historical scoring data at that venue to the performance of teams on the road. This creates a simple score indicating whether a park favors hitters or pitchers. Factors are generated for total runs, home runs, and different types of hits.

Why It Matters

A team's offensive or pitching stats can be misleading without the context of their home ballpark. This pillar provides that context, allowing for more accurate predictions of game flow and scoring, independent of the teams playing.

How It Works

The pillar aggregates game log data from the last three MLB seasons for all 30 stadiums. It then compares the runs scored and allowed by the home team at home versus on the road. This ratio is normalized to create a Park Factor, where 1.00 is average, above 1.00 favors hitters, and below 1.00 favors pitchers.

Methodology

The core calculation uses a 3-year rolling average. The formula for the run factor is: (((Runs Scored at Home + Runs Allowed at Home) / Home Games) / ((Runs Scored on Road + Runs Allowed on Road) / Road Games)). This is calculated for runs, home runs, and hits. The model also incorporates real-time weather data for wind and temperature at open-air stadiums.

Edge & Advantage

Public trading is often skewed by raw team stats, but this pillar adjusts for the stadium's influence, identifying mispriced totals and player props.

Key Indicators

• Park Factor (Runs)

  high

  A normalized score indicating if a park increases or decreases total run scoring relative to a neutral park.

• Park Factor (HR)

  high

  A specific factor for home runs, crucial for analyzing power hitters and pitcher matchups.

• Weather & Altitude

  medium

  Environmental conditions like wind, temperature, and elevation that significantly alter ball flight and scoring.

Data Sources

• Baseball Savant

  Provides detailed Statcast data including park-specific leaderboards and factors.

• FanGraphs

  Offers multi-year park factor data for various statistical categories.

• ESPN MLB Park Factors

  Provides a widely referenced source for ballpark run, home run, and hit factors.

Example Questions This Pillar Answers

• → Will the total runs in the Rockies vs. Diamondbacks game at Coors Field be over 11.5?
• → Will Shohei Ohtani hit a home run in tonight's game at Oracle Park?
• → Which NL West team's home stadium will see the fewest total runs scored this week?

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