DFS Baseball 101: Data Mining for Stacks
DFS Baseball 101: Data Mining for Stacks

This article is part of our DFS MLB series.

Now that we have a little more than a month of baseball in the books, the data starts to formulate some trends that we can exploit. One of the things that DFS players look at is how a team hits against a left-handed pitcher or a right-handed pitcher. This is important for determining stacks in tournaments. But I like to take it a step further and analyze the L/R splits along with home/road. I have found strong data that can help in building stacks for tournaments.

Dodgers at Home vs. RHP

This is the best stack of the season so far. Now, a lot of this is tied to Cody Bellinger, who is injured, but still the data is very strong. Stack the Dodgers at home vs. a right handed pitcher!  Right-handed pitchers have averaged just 6.4 points against the Dodgers at home. The average starting pitcher averages about 14 points.

In 12 starts, only two pitchers have scored at least 20 points, and five have been in the negative. Here are some of the top pitchers they have faced – Luis Castillo, Joe Musgrove, Zack Greinke, Chris Archer, Luke Weaver, Sonny Gray.

A's vs. LHP

The A's have faced 10 left-handed starting pitchers, who have averaged only 9.26 points per game. It has not mattered whether home or away for the A's. In the six home games, the pitchers averaged 7.8 points per game and on the road 11.4. You can skew to

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ABOUT THE AUTHOR
Michael Rathburn
Known as “Rath” in the Daily Fantasy Sports (DFS) community, he has helped run operations for two prominent daily fantasy sports startups. Michael has taken his insider knowledge and expertise in daily fantasy sports to the content side. Rath won the 2016 FSWA "Baseball Article of the Year, Online" award and was a finalist for the FSWA Best Baseball Series in 2011.
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