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Park Factors Powered by Ballpark Pal
Top Park Environments
Quick-hit standouts based on the strongest overall run environments so you can spot hitter-friendly conditions at a glance.
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Loading today's best run environment
The strongest hitting spots will populate once the latest park factors finish syncing.
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Scanning the slate
Additional hitter-friendly parks will appear here for a quicker top-down read of the board.
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Preparing park board
Use this area to quickly identify which games deserve the closest environment check first.
How To Use This Board
A fast workflow for identifying the slate's best offensive and pitching environments without getting lost in the schedule.
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Start with Runs
Higher run factors point to stronger overall scoring environments and a quicker way to locate hitter-friendly spots.
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Layer in HR and hit-type boosts
Home run, doubles/triples, and singles factors help clarify whether the park leans toward power or more general offense.
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Filter the slate quickly
Use search and quick pills to isolate hitter-friendly or pitcher-friendly spots and build a shorter list for deeper handicap work.
Park Factors Guide
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Model Training: Park factors come from a model trained over 1 million batted balls and 20,000 games since 2016. The model uses machine learning to sort out the unique weather impact at each stadium.
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Relative Scale: The numbers are relative to the year-long MLB average (not the park itself). A +30% (+0.67) boost for home runs means the stadium is expected to produce about 0.67 more home runs than the typical MLB game—in other words, 2 additional home runs over 3 equivalent games.
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Combined Effect: Weather impacts each stadium differently. This model is built to handle these local effects and is factored into the metrics.
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Hitter-Level Assignment: Ballpark Pal assigns park factors to individual hitters based on where they typically hit the ball. These are aggregated to produce the factors for each game, which explains part of the day-to-day variance.
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Caveat: Park factors shouldn’t be overvalued. They represent minor effects that show up over time but aren’t often visible for individual games. Due to regular variance, it’s possible for games with pitcher-friendly park factors to have lots of offense (and vice versa).