On Saturday, I analyzed the five hitters whose HR/FB ratios have increased the most since last season and using various tools and metrics, tried to determine whether we might see a decline in the second half. Today I will look at the opposite end of the spectrum, those hitters whose HR/FB ratios have declined the most. Will they experience a second half power surge?
For me personally, it feels like offensive surprises and busts are harder to evaluate during the year because we have fewer tools to analyze. Power is one skill that is difficult to decide how real a spike or drop is, but Jeff Zimmerman has been mentioning a tool at Baseball Heat Maps that gives you the distance of a hitter’s batted balls, which may really help in this type of analysis. In the past, I have used the ESPN Home Run Tracker site to help determine how flukey a change in HR/FB ratio is, but I think looking at the raw average distance is a less flawed method. I looked at the five hitters whose HR/FB ratio has increased the most this year and then added their 2011 and 2012 average home run plus fly ball distances to the table.
Over the past few days, Eno Sarris has been rolling out our consensus ranking for players at various positions. To create my rankings I used ZiPS rest of season stats to compile my rankings. The only time I changed my ranking was because of expected time lost on the D.L. For some players who are having a good 2012 season (Josh Reddick, Jed Lowrie, Allen Craig, Edwin Encarnacion and Trevor Plouffe), my rankings are lower than most people expected. Today, I am going to look at one cause for a player to be out performing his projections: injuries.
Note: I will be looking at lack of past playing time and a measurable change in talent for the other two causes for a player out performing there projections.
Injuries and how they relate to player performance are one of the few last few frontiers in sabermetric studies. This off season, in two separate studies, Mitchel Litchman (MGL) and myself looked at how injuries affect a hitter’s performance. In MGL’s study, he looked at players who went on the DL and how they performed. He found that hitters under performed their SLG in the year of the injury, but the rest of their traits stayed constant. In my study, I looked at players who played through injuries without going on the D.L. and found the same conclusion. In the year after the injury, the player exceeded their projected power numbers.
It seems that the newest “Moneyball” craze in the majors this season is the defensive shift. Usually used only against left handed hitters, it is being implemented by more and more teams against more and more players. Today, I am going to look at the fantasy implications of the shift.
Catcher may be the most frustrating position to fill as you annually prepare for the fantasy baseball season. Realistically, there are only a handful of impact bats who are catcher-eligible in most leagues and unless you are lucky enough to snag one it may be difficult to find a catcher who will positively contribute to your team. Even elite catchers aren’t with out flaws. If one hits a lot of home runs, his average usually suffers (See, Santana, Carlos). A high batting average is usually coupled with middling power, and even superb seasons like Napoli’s 2011 or Posey’s 2010 don’t give your team any steals. Despite playing in PETCO park, Yasmani Grandal projects to be an solid option behind the dish for your fantasy team. Read the rest of this entry »
The folks at Baseball Think Factory are kind enough to supply Fangraphs with projected ZiPS values for each player covering the rest of the season. These values take the player’s preseason projection and how they have produced so far in 2012 and then estimate the player’s stats for the rest of the season.
I used Zach Sander’s formula to rank only 2B for the rest of the season.using z-scores. Here are the rest of season values for 2B order by their current z-score and some thoughts on the rankings:
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In past years, I have posted 20 bold predictions for the upcoming season. Just because our little RotoGraphs contest among authors only required 10 doesn’t mean I was going to stop there! So here are another 10 bold predictions to ridicule me for, or cause your eyes to open in wonder as to how I could be such a brilliant prognosticator. And before you read on, take another gander at my first set of boldies to refresh your memory.
In the last of my posts trying to translate my look at the predictability of pitchers’ spring peripherals into actionable advice, I examine those pitchers whose walk rates were much higher than their Steamer projections for the regular season. These are the guys there might be some cause for concern, as opposed to the potential BB% improvers, whose spring hint at a potential step forward with their control.
On Monday, I published the findings of a study that determined spring K% and BB% were actually meaningful for pitchers. On Wednesday, I looked at pitchers whose spring K% were well above what the Steamer projections were expected, while I looked at the other side on Thursday, those pitchers whose spring K% is well below Steamer’s projected season mark. Today I am looking at BB% and will start with the pitchers who have displayed much better control than anticipated.
A week and a half ago, I published my American League starting pitcher tiers, which were based on my projections and ranked pitchers in descending order of dollar value. One of the bigger surprises was C.J. Wilson landing in the third tier, ranking 16th among all AL starters. This ranking was behind guys like Brandon Morrow, Colby Lewis and Max Scherzer, who it is likely that the vast majority of fantasy owners would draft much later than Wilson. So why am I down on Wilson? Let me count the reasons.
