Welcome, welcome, welcome to RotoBaller's Midseason Fantasy Baseball Awards Show. I'm your host, Nick Mariano, and today we're honoring some of fine baseball players who have had outstanding (for better or worse) first halves to the 2016 season.
Trading is a very old practice. Offering X for Y and bartering is in our DNA, and can even be observed in animals. While we often write about how to have the best draft, which players to add and drop, and even who to trade for, we rarely get into how to be an effective trader.
We've discussed several metrics before, and now we're back to talk about additional ways to analyze pitchers, emphasizing tools that are particularly helpful once the season is underway.
This isn't going to be easy to hear, but someone you trust is leading you astray in your quest for fantasy baseball glory. Don't look now, but it's that big ol' brain of yours. In a horrible stroke of luck, it's hardwired for survival and not for winning fantasy leagues.
What this can do is allow you to validate certain hot streaks when it comes to power, as it's what I personally banked on
Pitching's cryptic nature has caused many headaches over the years, with fantasy owners representing a large portion of sufferers. We're here today to investigate how K-BB rates can alleviate the pain.
The quest to become the most informed fantasy owners in the universe continues. As always, no one number or set can tell the whole story.
Instead of just looking at how often a player's at-bat ends in a strikeout, we can now see how frequently they swing and miss. Why limit ourselves to evaluating the player solely by the end result when there are many data points from within the at-bats?
You're probably familiar with ERA (Earned Run Average). SIERA takes that further, standing for "Skill-Interactive Earned Run Average". It was created to quantify how well a pitcher has truly performed based on, well, their skills. That's ambiguous, so let's wade in a little with a case study.
If a player is hitting the ball hard, you should be paying attention. If poor surface statistics mask a strong batted ball profile, or vice versa, then there is a large profit margin to be capitalized upon.