There are many things that you can do with our MLB DFS study hub. It’s loaded with information and has many different functions that you can mess around with. We have these study hubs for MLB DFS, NBA DFS, NFL DFS, NASCAR DFS, NHL DFS, PGA DFS, and MMA DFS. Today, I wanted to break down different ways to use the Study Hub with examples of filters used. These are up to the user for what metrics and at what levels they’d like to use for each category. The world is your oyster!
These are the last 14-days of team-by-team splits vs. starting pitcher-handedness. Basically, you can get a quick glimpse of which teams are HOT vs. handedness of pitcher based on splits alone.
This is a list of hitters with a .400 wOBA / .300 ISO split with at least 20 Plate Appearances over the last 30-days of baseball.
This list is compiled by sorting in the MLB DFS Study Hub. The DraftKings Rating category was filtered to 75 and above. The projections category was filtered by “Above Average”. The DraftKings Value category was filtered by “Above Average”. The DraftKings ownership % category was filtered by players less than 10% owned (filtered as 0.1 to get this result).
This list is compiled by sorting in the MLB DFS Study Hub. The FanDuel Rating category was filtered to 75 and above. The projections category was filtered by “Above Average”. The FanDuel Value category was filtered by “Above Average”. The FanDuel ownership % category was filtered by players less than 10% owned (filtered as 0.1 to get this result).
These targets were created by sorting the DraftKings Rating and FanDuel Rating to 75 or higher. The DraftKings projections and FanDuel projections were filtered by “Above Average”. The DraftKings value and FanDuel value were sorted by “Above Average”. The FanDuel ownership and DraftKings ownership were not filtered for this shortlist.
Study Hub Filters Used
Its really easy to fall back and say, “Oh well, its MLB DFS, yesterday was on one of those variance days.” Was it though? I want to take a dive into German Marquez pitching at home against the Pirates in a game with the highest implied run total.
At first glance nothing stands out. The filters we use above to weed out some of the suboptimal plays would have taken him out of our pool immediately and after looking at this I can see why. Let’s go deeper.
Marquez allows a .309 wOBA and the Pirates hit for a below average .312 wOBA which is considered below average. So that would have been a tick in the good column. The .143 ISO that Marquez allows would be average, nothing special but the .125 ISO the Pirates hit for is definitely below average, so again, a tick in the good column. Marquez does has an above average strikeout rate as 23.81%, however, for most of us seasoned DFS players we know pitchers just aren’t typically the same at Coors. Combine this with the fact pitchers are under heavy scrutiny because of the use of foreign substances I can understand the reasoning behind fading him in cash games, but having some exposure in tournaments.
If you decided to play Marquez – congratulations, I’m sure you had a profitable night. If you faded, I was right there with you. Variance, maybe? However, at the end of the day Rise or Fall is giving you the tools to make the best decisions to put you in optimal positions to win.
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