Today, let’s make some useful data available for reference on a couple of a subjects — park factors and pitcher batted ball data.
Extreme Park Factors
With Carlos Quentin getting traded to the Padres and the resulting discussion on how his power translates to San Diego, I decided to make available the most extreme park factors in the league. I used the handedness data available at Statcorner.com. I only looked at values that are 10% higher or lower than the league average. Also, I made available the factors that are the most relevant to fantasy baseball, Line Drives (major component of BABIP and AVG) and Home Runs. The park factors are for hitters with a value over 100 helping a hitter and a value below 100 hurting a hitter.
• It is not surprising to see Colorado and its thin, dry air at the top of the leader boards. These high park factors almost makes any decent hitter playing at Colorado a must fantasy start.
• At the other end of the spectrum are some teams that play in humid, heavy air like Houston and Atlanta.
• Eight teams (Reds, White Sox, Yankees, Orioles, Phillies, Rangers, Rockies and Blue Jays) show up for both right and left handed hitters for parks that help with home runs. Only 3 teams show up twice on the list of home run suppressing parks (Royals, Cardinals and A’s).
• San Diego is a sinkhole for left handed home runs hitters. Don’t forget that KC is not that far behind. Last season Eric Hosmer hit 16 of his 19 home runs on the road.
• Another interesting note is the level that St. Louis kept Albert Pujols‘ HRs suppressed. He may see a nice uptick in Anaheim.
A Pitcher’s Batted Ball Profile and Pitching Stats
You’ll often hear that a pitcher is an extreme ground ball or fly ball pitcher. Generally, the assumption is that ground ball pitchers are better than fly ball pitchers because they keep the ball in the park more often. Generally, that is the case, but extreme fly ball pitchers have their advantages. I looked at the average stats from a group of pitchers given a certain ground ball or fly ball rate to see how they compare.
I took all the pitchers since 2008 that pitched in over 120 innings in a season. Then I lumped them as close as possible into five equal groups. Here are the results:
Ground Ball Data
|46% to 50%||0.297||1.34||10.0%||6.8||2.9||0.94||19.3%||47.2%||33.5%||4.05||4.01||3.96|
|42% to 46%||0.296||1.34||10.1%||6.7||3.0||1.02||19.4%||44.1%||36.5%||4.19||4.15||4.11|
|38% to 42%||0.290||1.31||9.7%||7.0||2.9||1.07||19.4%||40.6%||40.0%||4.14||4.16||4.16|
Fly Ball Data
|38% to 42%%||0.288||1.29||9.7%||7.3||2.9||1.06||19.6%||40.1%||40.3%||4.04||4.09||4.09|
|35% to 38%||0.294||1.33||9.9%||6.7||2.9||1.01||19.4%||44.0%||36.6%||4.10||4.11||4.08|
|32% to 35%||0.299||1.35||10.0%||6.7||3.0||0.93||19.2%||47.8%||33.0%||4.08||4.04||4.00|
• The main advantage of the ground-ball pitchers is the low number of HR/9. Even though their HR/FB is higher, the ground-ball pitchers overcome this problem by just not allowing as many fly balls. For fantasy purposes, this value leads to an over 0.2 improvement in ERA compared to other pitchers.
• Fly ball pitchers have the advantage that fly balls are easier to catch than ground balls for outs. With these extra outs, fly ball pitchers have a lower BABIP and therefore a lower WHIP. Also, this lower BABIP allows these pitchers’ ERA to be better then their FIP and xFIP.
When deciding between pitchers with similar K and BB numbers, I would take the pitchers in the following order (ranking is based mainly on ERA with the tie breaker going to WHIP)
1. >50% GB rate
2A. <38% GB rate
2B. Between 46% and 50% GB rate
3A. Between 38% and 42% GB rate
3B. Between 42% and 46% GB rate
First, I would always pick pitchers based on a combination of strikeouts, walks and health. After that, use the pitchers batted ball profile to decide which pitcher to pick if undecided between two.