Phil Birnbaum doesn’t like dWAR. Soon, if MLB allows researchers to access their new fielding data, dWAR for current seasons will be calculated in an entirely different manner.
How much this is impacting other pitchers on the team? Tyson Ross’ walk rate has exploded this season.
Sabermetricians, scouts, coaches, and ball players coexisting and working together?
Goodbye all, nice knowing you, the apocalypse is nigh!
Lineup protection exists—it also doesn’t. Baseball players are aware of lineup protection and modify their approach because of it, even though their managers might have a different idea entirely of what lineup protection means. Batters think about protection, too, and part of successful hitting is the ability to think with the game as it’s happening. However, modified approaches don’t alter results in any meaningful way, as analysts such as Tom Tango and Jeff Sullivan show.
Don’t want to get hurt, stop throwing so hard.
As you can see these results are more in line with Dr. Fleisig’s results (25% Major League pitchers). I don’t think it’s unreasonable there are some differences, however. This would depend on our methods of gathering the data and how we defined what a Major League pitcher is. My definition was very loose. Basically if a pitcher came up and threw one inning, then I put him in the results. The reason why I didn’t have a stricter definition of ...
I’ve been waiting for this book. (Why did they wait so long?)
KC has the best. Philadelphia has the worst.
Sometimes people overcomplicate things.
File in the “Needing Follow-up:” category.
The solution to Samardzija’s problems may not be that simple. It’s easy to say that he should just go to pitches that worked for him in the past more often; but currently, those pitches—the sinker and the split—are getting hit and hit hard. He’s using his slider, but he’s missing with it badly and frequently. Those are pitches that helped lead him to his best season ever, and they don’t appear to be having the same effect as they once did.
There’s no easy fix here. Samardzija ...
Grant Brisbee breaks down the runs scored/allowed data.
If things don’t turn around in the next month, Beane will start selling off, which will mean the talent will match the record.
No team is diverging from their BaseRuns expectations at anything near the rate that the A’s are. Instead of being 12-21, BaseRuns actually expects that the A’s would be 18-15 at this point, a .539 expected winning percentage that would have them as the 11th best team in baseball. No other team in baseball is underperforming their BaseRuns record by more than three ...
How many teams are swayed by agent research?
How much of the defensive stuff will be made publicly available? I can’t see how the availability of this data won’t make all the current defensive metrics obsolete.
Tony Blengino parses the data.
Batted-ball data can easily be misinterpreted, but once you understand its nuances, it is an exceptional aid in talent evaluation. Just looking at a player’s average exit speed on all BIP types can be very misleading; hitting a bunch of 90 MPH fly balls doesn’t get you much of anywhere. Being able to weave together the intricacies of frequency and authority, while taking into account pull tendencies, park effects, etc., enables one to combine such new-school ...
Data and your lying eyes.
Is it really shocking that being able to put the bat on the ball translates better in the major leagues?
Bat-to-ball ability is obviously a great tool for a hitter to have. We already knew that. But these data suggest that — for whatever reason — it might be even more important when facing major league pitching. If true, this could help explain the downfalls of recently highly-touted prospects like Mike Olt, Jon Singleton and Jackie Bradley Jr., who are already flirting with the “bust” ...
My real purpose in doing this was to educate myself about the 30 major league rotations. If I can force myself to do this once a week—which I probably can’t, but if I could—then I would develop a stronger understanding of who was in the rotation right now for all 30 teams, who their #1 starter was, etc. I’m old; I have a hard time lodging all of that information in my head.
Well worth reading.
Some good stuff from BP’s Matthew Kory.
This may be an improvement over other metrics that are currently available. (I don’t have time to read the detailed breakdown, which I applaud them for providing, BTW.) I would think, though, better metrics for measuring pitchers are just around the corner due to Field F/X (whatever it’s called) data. With that data it should be possible to separate (and this is one of the Holy Grail sabermetric goals) fielding from pitching.
Players that strikeout more than league average still peak earlier than players that strike out less than league average, but in this more current population of players, players that strikeout more than league average peak very early—their age 21 season. This information would reciprocate the sentiment that has been conveyed through recent work that suggests that the aging curve has changed to the point that players peak almost as soon as when they enter the league.
Enjoy your Kris Bryant ...Read More...
More good stuff from BaseballSavant.com.
Top 5 weakest hit pitchers
1 Sale 81.9 MPH
2 Wainwright 83.14
3 Chen 83.33
4 Collmenter 83.65
5 Keuchel 84
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