Stats for The Environment — Context Variables
Park factors, weather data, and lineup position — the environment layer that makes MLB unique
You should read this if:
You bet MLB props and want to understand the mental models that drive outcomes.
The Core Insight
"Park factors are not just "hitter-friendly" or "pitcher-friendly." They break down by handedness, hit type, and even K rate. A 3-year rolling average by specific factor is the minimum for accurate projections."
The MLB Mental Model
Park Factors (granular)
HR by LHH, HR by RHH, 2B, 3B, K, BB — all separate
Predicts: Yankee Stadium inflates LHH HR but is neutral for RHH. Petco suppresses doubles but is average for HR.
Weather Variables
Temperature, wind speed/direction, humidity
Predicts: 10 degrees F = 3-5 feet of ball carry. Wind out at Wrigley is a different sport.
Lineup Position
Leadoff ~4.5 PA, 3-5 hole ~4.0 PA, 8-9 hole ~3.5 PA
Predicts: PA count is the volume floor for every counting stat
Time of Season
Stabilization timeline determines which stats are trustworthy
Predicts: April K% is real. April batting average is noise. July everything is real.
Framework in Action: Coors Field Is Not Just "Hitter-Friendly"
Coors inflates HR for right-handed hitters by 22% but only 18% for lefties. It inflates K rate less than most people think. It dramatically inflates doubles and triples. A blanket "Coors = boost" misses the granularity. DMP uses park factors broken down by handedness and hit type for accurate adjustments.
When to Apply This Framework
- ✓Check park factor and weather before every outdoor MLB prop bet
- ✓Lineup position determines PA count — crucial for counting stat props
- ✓Time of season determines which signals to trust — use the stabilization calendar
When to Pass
- ⚠️Do not assume a single park factor number captures the full picture — use granular data
- ⚠️Do not ignore weather for power props — temperature and wind are first-class variables
- ⚠️Do not trust BABIP-dependent signals before they have stabilized
Key Takeaways
- ✓Park factors must be granular: by handedness and hit type, using 3-year rolling averages
- ✓Weather is a first-class variable in MLB — 10-15% HR rate swings from temperature alone
- ✓Lineup position is the baseball equivalent of minutes and usage combined
How DMP Helps
DMP provides granular park factors, real-time weather with HR impact estimates, confirmed lineup data, and seasonal confidence flags.