Archive for Starting Pitchers

2017 New Pitch Tracker

This marks the fourth consecutive spring for tracking new pitches at Fangraphs. In 2014, the series was launched with a piece featuring both a retired and current pitcher and their insight into adding new pitches during the offseason and/or in camp. The 2015 tracking was done at RotoJunkieFix where I serve as the CIO which is just a fancy title for the guy that keeps a 20+ year old fantasy community up and running in his spare time. By popular demand, the 2016 New Pitch Tracker gained front page real estate here and I updated it throughout the spring with help from Jeff Zimmerman and others scraping the stories from the web and the crew at BrooksBaseball helping validate the pitches. That same support model will be in place this year for the extended 2017 Spring Training.

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The 2017 Starting Pitcher Strikeout Rate Downsiders

Nearly a month and a half ago, I shared the names of six starting pitchers who my old xK% metric suggested had the most strikeout rate upside this season, assuming their equation components remained unchanged. I then got sidetracked, introduced an updated version of the equation with new component coefficients and then even played around with incorporating CH% (changeup percentage) into an even newer version of the equation. So I never actually got around to the list of starting pitchers with strikeout rate downside. It’s now time to share those names with you very patient people.

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Eno’s 2017 Pitcher Ranks

I may have taken a step back from RotoGraphs, but I haven’t stopped playing fantasy baseball, and I have to take a look at all the pitchers anyway, and people keep bugging for my ranks in chats and anyway — here they are! I have some notes below the ranks, which are created for 5×5 leagues by using projections and then moving the players around subjectively for different reasons, most of which you will hear on our podcast.

But there are a few notes about tiers and places in the rankings that I like and dislike, notes that might help you think about your pitching strategy this year. Good luck!

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PITCHf/x-Forensics: Alex Reyes

***Note, huge thanks to Jeff Zimmerman for all of his help with this piece***

The sad news that prospective St. Louis Cardinals Ace Alex Reyes was going to miss the 2017 season was devastating news for the Cardinals organization. Reyes looked to make a huge impact in the Cardinals rotation with absolutely devastating Stuff (according to the Stuff Metric, the only starter with better Stuff was New York Mets Starter, Noah Syndergaard). To figure out how Reyes came to break down, let’s look into the scientific literature on UCL injuries.

The first paper I’d like to draw on, was published by David Whiteside and Colleagues, from the University of Michigan (Whiteside et al., 2016). Their method used a machine learning approach, and deduced there were 6 risk factors that could be used to predict UCL reconstruction surgery. These risk factors were 1) Fewer days between consecutive games, 2) smaller repertoire of pitches, 3) a less pronounced horizontal release location, 4) smaller stature, 5) greater mean pitch speed, and 6) greater mean pitch counts per game. How did Alex Reyes measure up in these risk factors?

Reyes started the season at AA, where he started in 14 games and pitched 65.1 innings. At the Major League Level, he pitched 46 innings, and started in 5 games, while appearing in 12 total games. Excluding those pitchers who appeared in less than 10 games in a season, the average days between consecutive games in the MLB in 2016 was 4.37  games.  At the major league level, Reyes had an average of 4.64 games.

How about the repertoire of pitches? In the 2016 season, starting pitchers had on average, 3.5 +/- 0.82 pitches in their repertoire. For a pitch to count as part of the repertoire, I included it in the analysis if it was thrown 10% of the time. Reyes had 4 pitches – A fourseam fastball, two seam fastball, curveball, and change up. These were thrown 35.8, 28.0, 12.0, and 24.2% of the time. So, Reyes threw more than the average number of pitches – so, this isn’t cause for concern based on this study.

How about release location? The horizontal release point league average for Alex’s 4 pitches in 2016, was 1.72 feet – that’s the average absolute horizontal release point (collapsed across righties and lefties). Alex’s release point was 1.74 feet – so, it was actually a more pronounced release point than the league average.

What about stature? Alex Reyes is a tall guy – standing 6’3, and weighing 175 lbs. The league average height for players born since 1985, is 6’1, and the average weight is 209.8 lbs – from the Lahman database. The Whiteside paper only mentions height though, and given that Reyes is taller than most other players, this doesn’t appear to be a risk factor. Reyes is taller than most, but extremely lean at 175 lbs. We’ll come back to this, shortly.
Now, on to the one smoking gun in this paper. Pitch velocity.

Alex had a peak average fastball velocity of 96.8 mph (for his fourseam fastball). That’s a heater, and it represents a fastball velocity with a z-score of 1.51 – well above league average. Why is velocity so stressful? I had written about UCL stress and velocity, using data from Driveline baseball (Sonne, 2016). The fine folks at driveline baseball examined pitch velocity and compared it to predicted UCL stress from the Motus Baseball sleeve. Simply put, as velocity goes up, so does UCL stress (figure 1). In fact, accounting for nothing other than pitch velocity, we were able to explain 37% of the variance in the UCL stress using only pitch velocity – nothing about mechanics, height, or weight.

More recently, those same researchers published data that the UCL stress was reduced when throwing offspeed and breaking pitches, but when normalized to pitch velocity, the stress was much higher in these types of pitches (O’Connell et al., 2017). Reyes throws an 88 mph change up – which could represent significant stress on the UCL based on these data.


Figure 1. Examining the relationship between ball velocity and UCL stress using the Motus Sleeve. Data from driveline baseball (https://www.drivelinebaseball.com/), and article available at http://www.mikesonne.ca/baseball/pitch-velocity-and-ucl-stress-using-the-motus-sleeve-further-interpretation-from-driveline-data/.

So finally, we are left with pitch count per game. Lumping together starters and relievers, the average pitch count per appearance was 45.6. The average pitches per inning was 14.5 in 2016. Reyes had 5 starts, and 7 relief appearances, and his average pitch count per outing was 65.6. Comparatively, his pitches per inning was 16.5 – which could lead to additional fatigue when compared to the league average.

So where do we point to the source of injury? The short answer? We have absolutely no clue.

In the field of ergonomics, we examine injury risk as an interaction of force, posture, and repetition. Workload metrics like pitch counts, and innings counts, give us insight into repetition. The forces can be inferred from the pitch velocity. Where our PITCHf/x data lacks, is giving us insight into the posture, or, the pitching mechanics. A very interesting piece was writen on Viva El Birdos regarding the poor mechanics that Alex Reyes exhibited.

Chris O’Leary has been very active in self promoting his analysis of Reyes’s very risky mechanics, and has predicted for some time that Tommy John Surgery was inevitable for Reyes. The problem baseball is currently faced with, is there is no reliable way of measuring mechanics without the use of motion capture systems. Right now, mechanics are not quantified to the extent they should be, and without a large, public database (like we have for PITCHf/x), it’s hard to completely infer the role that mechanics and timing have when contributing to injury risk.

Early this week on FanGraphs, there was a piece mentioning how Noah Syndergaard’s weight gain could increase his risk of injury (Sawchik, 2017). Compared to Alex Reyes, Syndergaard is a massive man (compared to human beings, he is a massive man). Theoretically, that added muscle mass may in fact keep Syndergaard from getting hurt. That added muscle can help him stabilize his UCL during the pitching motion – an advantage that the slight Alex Reyes did not possess at 175 lbs. During the throwing motion, the stress on the UCL exceeds the known force level for tear of the ligament. It is the role of the muscle to help take some of the stress off of the passive tissues (like the ligaments) during the throwing motion. Of course, someone like Chris Sale tends to be the outlier that challenges this hypothesis.

With respect to the workload Alex Reyes faced – he pitched less than 120 innings at all levels in the 2016 season. This alone does not represent an elevated risk of injury. What we can’t see from the PITCHf/x data, is how his workload variability changed from moving from a pure starter role at the minor league level, to a reliever and starter at the major league level. If you would like to delve into some mind blowing hypotheses on injury, check out the webinar from the Baseball Performance Group. They identify that it may be the variability in workload that poses a risk to pitchers – and not the overall workload itself. Moving between different roles would definitely increase the variability in rest times for Reyes.

Assessing the injury risk of pitchers is a challenging proposition. There is no single silver bullet, but understanding the scientific literature and examining the role of multiple factors is the way forward in trying to determine what might have gone wrong.

References

Whiteside, D., Martini, D. N., Lepley, A. S., Zernicke, R. F., & Goulet, G. C. (2016). Predictors of ulnar collateral ligament reconstruction in Major League Baseball pitchers. The American journal of sports medicine, 44(9), 2202-2209.

O’Leary, C. (2017). Pitching Mechanics Overview Alex Reyes. Retrieved from http://chrisoleary.com/pitching/PIP/Overviews/Reyes_Alex_PitchingMechanics.html, on February 16, 2017.

Sonne, M. (2016). Pitch Velocity and UCL Stress using the Motus Sleeve: Further Interpretation from Driveline Data. Retrieved from http://www.mikesonne.ca/baseball/pitch-velocity-and-ucl-stress-using-the-motus-sleeve-further-interpretation-from-driveline-data/, February 16, 2017.

O’Connell, M, Marsh, J., Boddy, K., (2017). Fastballs vs. Offspeed Pitches – Comparative and Relative Elbow Stress. Retrieved from https://www.drivelinebaseball.com/2017/02/fastballs-offspeed-pitches-comparative-relative-elbow-stress/, February 15, 2017.

Sawchik, T., (2017). Thor is Bigger, Stronger… and Riskier? Retrieved from http://www.fangraphs.com/blogs/thor-is-bigger-stronger-and-riskier/, February 15, 2017.

The Red Baron, (2017). The Changing Mechanics of Alex Reyes. Retrieved from http://www.vivaelbirdos.com/2017/2/15/14613328/the-changing-mechanics-of-alex-reyes-delivery-breakdown-carlos-martinez-injury, February 15, 2017.


February Rankings – Starting Pitcher

We’re going position by position this week and next with our initial roll out of rankings. We will update these in March based on Spring Training activity and injuries. We took yesterday off because of the uncertainty around Alex Reyes. Now that he’s officially out with Tommy John surgery (:sadface:), he has been removed from the rankings.

We’re using Yahoo! eligibility requirements which is 5 starts or 10 appearances. These rankings assume the standard 5×5 categories and a re-draft league. If we forgot someone, please let us know in the comments and we’ll make sure he’s added for the updates. If you have questions for a specific ranker on something he did, let us know in the comments. We can also be reached via Twitter:

Eno did his standalone SP Rankings which you can find here.

There will be differences, sharp differences, within the rankings. The rankers have different philosophies when it comes to ranking, some of which you’re no doubt familiar with through previous iterations. Of course the idea that we’d all think the same would be silly because then what would be the point of including multiple rankers?! Think someone should be higher or lower? Make a case. Let us know why you think that. The chart is sortable. If a ranker didn’t rank someone that the others did, he was given that ranker’s last rank +1.

Key:

  • AVG– just the average of the seven ranking sets
  • AVG– the average minus the high and low rankings
  • SPLIT– the difference between the high and low rankings

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Tout Wars Prep: Replacement Level Players

My Tout Wars prep continues. I have already examined the league’s historical aspects which I have used to create initial auction values and a draft outline. With the initial projections out of the way, I am refining them. One step in this process is to find the replacement level player and adjust players who will miss time accordingly.

The concept behind the replacement level player is fairly simple. If a good player is expected to miss significant time, his fantasy value is based on just the games he is expected to play. For the games he misses, some lesser player (replacement level player) will fill. The better player’s total value will be both his and the replacement player’s contribution.

For example, I don’t expect Yoan Moncada to get called any earlier than the Super Two deadline around June 1st. For the months he’s in the minors, a less talent replacement level player will be subbing in for him. The same idea works with pitchers. Tyson Ross is expected to miss at least a couple of months so a replacement is needed until he gets healthy.

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FrankenStuff: Combining Stuff with Tunnels and Command Metrics

When you watch football, it’s very clear by body type, what position a player likely plays. Are you 6’5 and 320lbs? That’s more than likely a lineman. 5’9 and 210 lbs? Chances are, you’re a running back. Baseball is a lot different – Marcus Stroman (5’8, 180lbs) and Chris Young (6’10, 255lbs) play the exact same position. Chris Sale (6’6, 180lbs) and Bartolo Colon (5’11, 285 lbs (sure… I believe you)) also play the same position. There aren’t too many times on the gridiron where a 100lb weight difference will line up against each other!

The point I’m trying to make, is with such huge variances in body shapes and sizes, there are many different ways to skin a cat. Marco Estrada (of 89 mph fastball fame) was massively more successful than Joe Kelly (punching a fastball in the high 90s, and over 100 mph). Pitchers of all shapes and sizes (of body and fastball) find ways to succeed. The question is – when you don’t have the clearly obvious advantage of that big fastball, how do you get major league hitters out?

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Tout Wars Prep: Initial Player Evaluations

So far in my Tout Wars preparation series, I’ve documented the league’s draft tendencies and the stats needed to win. Today, I’ll create the framework for player pricing. Along the way, I will show how there is no position scarcity except with catcher. At least for this league

Completing this step brings the preparation is laborious, but necessary. Once it’s done, I can spend most of my time evaluating players and their projected playing time.

For evaluating players, I utilize the Standings Gain Points (SGP) method. I previously outlined the procedure and it‘s the same method Larry Schechter recommends in his book, Winning Fantasy Baseball. Normally, this procedure is fairly straight forward since I’ve historically used three-year average values. Last year’s offensive explosion complicates the math. With more offense available, home runs, Runs, and RBIs become less important. Predicting 2017’s run scoring environment is impossible so I won’t for now. I feel I need to use a weighted average system with 2016 getting the most weight but I am just not sure how much to weight them. To get the process started, I will use the average standings from 2014 to 2016 for this work.

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Early ADP Thoughts – Starting Pitcher, Part II

Today’s ADP piece is looking at the SPs beyond the top 50. This is where you can win leagues. Let me emphasize “can” because leagues are rarely won or lost at the draft table alone. After all, there’s a reason we play out the six months of the season and don’t just go off a projection set. Usually a good 40-50% of many rosters turn over every year, at least in mixed leagues in the 10-15 team range.

Even if there are only 6-7 player slots turned over out of a 23-man roster (which is 25-30% turnover), there will still be many players moving in and out those slots. The point is that you shouldn’t get too precious about your draft picks in the mid-to-late rounds because a lot of them aren’t going to be on your roster very long anyway. Pitchers in particular have huge variance year-to-year so take your guys in this part of the draft.

Previous Editions:

STARTING PITCHER (click here for ADP list)

  • Jeff Samardzija (pick 196) might not have bounced back as well as some of us expected, but he shaved over a run off his ERA and further showed himself as one of the few workhorses left in the market.

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Early ADP Thoughts – Starting Pitcher, Part I

The volatility of pitching makes SP average draft figures sketchy after the top 25 or so. Opinions can only differ so much on hitters, especially those with anything close to a track record (starting around ~1000+ MLB PA), but opinions will vary widely on pitchers regardless of track record. Some won’t believe in a pitcher until he has 500-600 IP under his belt regardless of how good his first 200-300 are while on the other end you have fantasy players afraid to be holding the hot potato when the music stops on someone with a lengthy track record in their mid-30s.

Most of the guys in that sweet spot are the established aces and frontliners (lower level #1s, elite #2s) that we generally agree on for those early round picks. This year is vastly different than last year which is likely to create even wider chasms perhaps as early as the mid-teens among starters. The uncertainty should create some fantastic buying opportunities, though, and it’ll open up draft strategies, too.

Last year, most teams didn’t want to exit the third round without their ace. Early on this year, teams are OK waiting until the sixth, maybe even seventh round to get their ace while they stock up on hitting and perhaps open their  pitching staff with an elite closer instead. As with outfield, I’ll do two parts with starters going through the top 50 today and then 51 and beyond next time.

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