by Jonah Keri //
Ballpark Figures: Headlines — Bloomberg Television’s Michele Steele talks with Bloomberg Sports Fantasy Analyst Rob Shaw to discuss the latest headlines from the diamond this past weekend. Shaw tells us to pick up the recently perfect Dallas Braden for his starts at Oakland Coliseum. That Bobby Jenks is on the verge of losing the White Sox closer’s gig, while Matt Thornton is a hot pick up. Plus, Shaw tells us that the Phillies and Pirates are cautiously optimistic about the performance of closers Brad Lidge and Octavio Dotel.
By Tommy Rancel //
Last season, Scott Kazmir‘s potential became too expensive for the Tampa Bay Rays. Through injuries and inconsistency, Kazmir was never able to regain his pre-2008 ace form. With more than $20 million guaranteed to the lefty, Rays General Manager Andrew Friedman could no longer bank on just potential.
In a semi-controversial move, the organization traded the most successful pitcher in the franchise’s history to the deeper-pocketed Los Angeles Angels in what many casual fans considered a “salary dump.” However, looking at the quality of the three players Tampa Bay received — Sean Rodriguez, Alex Torres, and Matt Sweeney — and the early-season struggles of Kazmir, it seems the Rays pulled the trigger just in time.
In Los Angeles, Kazmir has reunited with former pitching coach Mike Butcher. Butcher spent one season with the (Devil) Rays in 2006. It just so happened to be one of Kazmir’s best seasons; his 3.24 ERA that season is still a career best. Looking at fielding independent pitching (FIP), which takes defense out of the equation, instead measuring walks, strikeouts and home runs, his 3.36 mark that season was a career best as well.
There was hope that once re-united with Butcher, some of the inconsistencies that plagued Kazmir in 2008 and 2009 would disappear. More importantly, there was hope that his once dominant slider as well as his mid-90s fastball would reappear.
The early returns on Kazmir in Los Angeles were very good. In six starts down the stretch last season, he went 2-2 with a 1.73 ERA and 2.93 FIP. He used his slider a healthy 19.1% of the time and his fastball velocity jumped from 90.7 with the Rays to 92.5 with the Angels; potential signs that Kazmir might put it together in 2010.
Unfortunately, things are not going according to plan this season. Despite his respectable 2-2 record, Kazmir has a 7.11 ERA and a 6.43 FIP thus far. A former American League strikeout champion (2007), Kazmir is on pace to strike out fewer than eight batters per nine innings for the second straight season. While his strikeouts have slightly faded, his walk rate is climbing. He has handed out 16 free passes in just 25.1 innings – a walks per nine innings rate of 5.7.
Kazmir is throwing his fastball around 90 mph right now and is using his slider just 8.2% of the time – a career low. In a slight bit of good news, Kazmir has developed a pretty good change-up. However, between the change-up and fastball, he’s basically a two-pitch starter right now.
It should be noted that Kazmir did battle with a hamstring and (another) arm injury this spring, but one would think the Angels wouldn’t send him out there if he wasn’t 100%. After all, he is still owed more than $20 million. Whether the problem is physical (meaning delivery) or mental, Scott Kazmir just isn’t very good right now.
If you drafted Kazmir, hopefully you took past history into account and didn’t select him with the intent of anchoring your rotation. Despite the ups and downs of the past few seasons, he has won double-digit games five straight years. With two wins already, he should get there again. Meanwhile, if you’re expecting the Kid K of 2007, you’re going to end up disappointed. At this point of the season, it is too early to dump him outright, but it may be time to take a page out of Andrew Friedman’s book, and get what you can in a trade instead of banking on potential that may never pay off.
For more on Scott Kazmir and the Los Angeles Angels, check out Bloomberg Sports’ fantasy kits.
By BloombergSportsPro //
Johan Santana had one of the worst starts of his career a couple of nights ago, giving up 10 runs in 3.2 innings pitched against the Philadelphia Phillies. I’m going to use the Bloomberg Sports Professional tool to take a look at his start and see if anything stands out as the cause of Santana’s struggles. Most of the analysis will be based on pitch f/x data, one data source which the tool integrates and puts into a more useable, visual format.
One issue which has come up over the last few years, when talking about Santana, is his velocity. While Santana used to sit in the low 90s and touch the mid 90s his fastball velocity has dipped significantly over the past few seasons. In his last start Santana threw seventy seven fastballs and pitch f/x only picked up two with a release speed of over 90 mph.
Given his recent velocity troubles this was the first thing I checked in the tool. It seems, however, that Santana’s velocity was much improved in Philadelphia compared to his previous start. Santana threw 41 fastballs against the Phillies and 23 had a release velocity of over 90 mph. This rate of 56.1% of his fastballs being over 90 mph is just about the same as his 2009 season where 958 of the 1603 fastballs (59.8%) were measured at over 90 mph. Given the fact that Johan tends to build velocity as the season goes along this should actually be an encouraging sign for Mets fans.
During the game the announcers brought up the issue of Santana’s pitch selection. Primarily they were wondering why Johan was relying exclusively on his fastball and change-up. I decided to examine Johan’s pitch selection to see if this might be the cause of his struggles.
While Santana only threw 7 breaking balls it doesn’t seem like his rates were different against the Phillies compared to the previous two seasons. If anything he was throwing sliders slightly more frequently. This makes sense, as the Phillies have more left-handed hitters than most teams and Johan generally throws his slider to lefties and his change-up to right-handed batters.
It seems as though we can rule out velocity and pitch selection as potential causes for Santana’s struggles in Philadelphia. The third factor which I wanted to look at was pitch location. Santana is generally thought of as one of the most accurate and aggressive pitchers in baseball, throwing about 55% of his pitches within the strike zone, consistently one of the highest rates in baseball. Santana had 48 strikes and 23 balls yesterday (this includes swinging strikes not just balls in the strike zone), almost exactly what one would expect, so it doesn’t seem like he was having problems throwing strikes.
Throwing strikes is only one part of the equation in control, though. A pitcher must hit the right spots in order to succeed. Santana gave up 5 extra base hits during last night’s game. Here are the locations of the pitches which the Phillies hit hard.
Four of the five extra base hits which Santana allowed were on fastballs (the red markers.) All four of those fastballs were right over the heart of the plate and at least waist high. The fifth hit, Ryan Howard’s Home Run, came on a change-up which was low and away.
Every pitcher throws some pitches right over the heart of the plate. Did the Phillies do an especially good job of taking advantage of Johan’s mistakes? Let’s take a look at the location of every pitch which Santana threw last night.
Santana threw a lot of pitches right down the middle yesterday. Out of the 66 pitches tracked by pitch f/x 17 of them (25.8%) were located right in the middle of the strike zone. This includes 13 of the 41 fastballs (31.7%) which he threw. How often does Santana usually throw pitches in that zone?
The image above shows us the location of every pitch which Santana had thrown in 2010 before the game against the Phillies. Santana threw 78 of his 514 pitches (15.2%) in the center of the strike zone, including 63 of his 308 fastballs (20.5%.) For the 2009 season Johan threw 14.5% of his pitches and 16.3% of his fastballs in this section of the strike zone. While Johan was able to throw a similar number of pitches in the strike zone he did not have the kind of accuracy within the strike zone which he relies on to get batters out. By throwing so many pitches right down the middle, Santana gave the Phillies an opportunity to put good swings on pitches. They obliged, crushing four home runs and a double.
Johan Santana is not the power pitcher he once was. He relies on his accuracy and intelligence as a pitcher to consistently get batters out. When his accuracy falters, as it did in Philadelphia, he can be very hittable. Santana’s future success will depend heavily on his ability to locate his pitches. He has demonstrated control on par with the best pitchers in baseball over his career so it seems way too early for Mets fans to worry. The fact that Santana’s velocity increased and that he was throwing his usual selection of pitches are both good signs. If you want to know whether Santana will bounce back you now know where to look – the location and quality of strikes which he is throwing.
By Bloomberg Sports //
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good pitcher will usually strike out a lot of batters, limit the number
of batters put on base via walks, and induce a lot of ground balls.
unlucky pitcher can be unfortunate in a number of ways: The quality of
opposition. The ballpark. A high percentage of balls hit into play
finding the gaps between fielders. A high percentage of fly balls
ending up as home runs. And perhaps the most under-appreciated form of
misfortune — a low strand rate.
is the pitcher’s fault. If a pitcher is pitching to contact, a lot of
balls are going to go for hits. It stands to reason that some of those
hits will be back-to-back-to-back, ending up as earned runs. But some
pitchers are lucky enough to space out those hits as to avoid damage.
And some pitchers play on teams that have relievers who can come into
the game and clean up a mess.
that the major league average for strand rate (also known as LOB%) is
about 72%. Those who are much higher are getting lucky. Those who are
much lower are unlucky.
shows some pitchers who are relevant in most fantasy leagues who to
date who are well above or well below the norm:
It doesn’t take a rocket scientist to figure out this grizzled veteran
doesn’t deserve an ERA under 1. He’s a pitch-to-contact guy who has
always been prone to giving up home runs. Much of his great fortune
this year is based on a hit rate under 19%, when the norm is more like
30%. But Hernandez has also been counting his blessings about the
batters he has allowed on base. Less than 3% have scored, the lowest
rate in baseball.
strand rate of 87.2% ranks near among the highest figures in the
National League. But his home runs allowed rate is worse than the
average pitcher (without an excessively high HR/FB rate to suggest
that’s a fluke) and he’s also getting lucky on hit rates. He may be
sporting a 2.48 ERA at the moment — and many might assume he’s back to
dominant form — but Oswalt looks more like a good but not quite great
doing almost everything right this year. He’s striking out a batter per
inning. He’s slashed one full walk per 9 IP off last season’s free pass
rate. He hasn’t allowed a home run yet. But still, Liriano figures to
regress at least somewhat, given his 84.6% strand rate; the Twins
somewhat iffy bullpen raises the risk of regression. Liriano still
figures to have strong numbers. Just not a sub-2 ERA.
Striking out more than a batter per inning solves most problems, such
as a mediocre walk rate. Hanson hasn’t allowed many home runs either,
but he has an 84% strand rate, which means a bit of regression
a poor strikeout-to-walk rate. His low hit rate and high strand rate
will make that 2.79 ERA go up quickly. His xFIP is a scary 4.59 at the
He’s also surrendered seven home runs in his first 40 innings pitched.
So far, those home runs aren’t killing Shields, because he’s giving
them up when opposing batters aren’t on base. And when opposing batters
do get on base, he’s getting out of the inning without much
damage. On the plus side, though, the Tampa Bay pitcher is whiffing
9.68 batters per 9 IP, tops in
the American League. His 2.25 per 9 IP walk rate also ranks among the
top 10 in baseball.
Shields’ strand rate points to a pitcher who’s had a lucky season. But
the Rays righty has also posted a flukishly high 16.6% HR/FB rate.
Shields’ ERA is an impressive 3.15; his xFIP is also 3.15, suggesting
that his good and bad luck are evening out. He’s the outlier of the
Striking out a lot of batters? Check. Not walking too many batters?
Check. Not allowing an obscene amount of home runs? Check. How’s his
hit rate? Also reasonable. Despite all that, Verlander has a 4.50 ERA,
when his FIP is just 3.34. A low strand rate (61.9%) is owed much of
the blame. If the Tigers can continue to play strong defense and throw
up good relief pitching numbers, that would only help Verlander even
worse this year than Floyd, who currently sports an ugly 6.89 ERA. But
his strikeout rate is actually better than his career average. He’s
also allowing fewer home runs per inning than usual. He’s become a
little more friendly to batters in the walks department, but it doesn’t
explain the wide gap between his ERA and his respectable 4.30 xFIP. We
can at least pin much of the blame on misfortune from a 58.4% strand
rate, seventh-worst in the majors.
The Royals youngster doesn’t have a particularly good strikeout-to-walk
rate, but he’s fantastic in keeping the ball on the ground and in the
ballpark. That’s because he’s been doubly cursed with a high BABIP and
a low strand rate. Once those hit balls go for outs more often, and
runners become stranded on base, his ERA will come down. One caveat,
though: Hochevar owes much of his low home run rate to a microscopic
3.3% HR/FB rate, making his 4.49 xFIP not far from his5.03 ERA.
he’s getting unlucky too. The Red Sox ace is whiffing fewer batters and
allowing more walks than in past years. But his hit rate is high and
strand rate is low as well. There’s a lot of reasons why Beckett has a
6.31 ERA. A 61% strand rate just exacerbates the situation.
A pitcher who allows seven home runs in just over 33 innings is asking
for trouble. But six of those home runs have come with the bases empty.
That’s about the only piece of good luck he’s seen. Harang has been
cursed in a number of ways: A higher-than-normal HR-to-fly-ball rate, a
high BABIP, and of course, a low strand rate. There’s good reason to
expect much better from Harang going forward: His ERA to date is 6.68,
vs. a solid xFIP of 3.83.
cut his home runs allowed and is striking out 7.48 batter per 9 IP –
down from last year but still above league average. His two biggest
downfalls are a terrible 5.86/9 IP walk rate and a 50.4% strand rate,
worst in the majors. That strand rate should improve dramatically. But
Paulino also needs to get his control in check to be
worth rostering in mixed leagues.
By R.J. Anderson //
Nobody could blame Adrian Beltre if he wanted to distance himself from the 2009 season as much as possible. Not only did he endure a horrendous offensive season in which he posted a .683 OPS, he also suffered an injury to a certain male region that should never be used in the same sentence as the term “ruptured”. Nonetheless, Beltre became eligible for free agency and joined the Boston Red Sox. A stronger supporting cast figured to help his counting stats, while a far friendlier ballpark for hitters figured to boost his overall offensive production.
Thus far, Beltre is hitting .343 AVG/.375 OBP/.467 SLG. Previously, Beltre posted a batting average above .300 exactly once in his 12-season career. Meanwhile, his career Isolated Slugging (ISO, slugging average minus batting average) is .182, much higher than this season’s .124.
Beltre’s .386 BABIP is certainly the highest of his career, and miles away from his .292 career mark. Of Beltre’s 36 hits, only nine have been of the extra base variety. Putting up 75% singles looks more like a Nick Punto season, not the kind of numbers you expect from a player who hit at least 25 home runs each season from 2006 through 2008, with 252 career homers.
What gives? Beltre’s 4% HR/FB ratio is a career low, even worse than his 5.6% in 2009. This seems unlikely to continue to be the case. In past seasons at Safeco Field – a park that strongly curbs extra-base hits by right-handed batters – Beltre was still able to launch more than 10% of his fly balls over the wall. A move to Fenway Park – an extra-base hit paradise for righties who can get the ball up in the air and deep – Beltre should not see his power disappear.
As it stands, Beltre is second among third baseman in hits and second in batting average, behind division rival Evan Longoria. The season is a month old and odds are Beltre is going to finish with a higher batting average than originally expected. But there’s little reason to believe Beltre’s skill set has completely morphed from hulking slugger to Ichiro Suzuki clone. Adjust your expectations accordingly.
For more on Adrian Beltre, check out Bloomberg Sports Fantasy Tools.
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by Jonah Keri //
Ballpark Figures: Head-to-Head — Bloomberg Television’s Michele Steele talks with Bloomberg Sports Fantasy Analyst Rob Shaw to preview the exciting weekend in Major League Baseball. The topic of choice is the match-up between the Red Sox and Yankees. Shaw tells us that Marcus Thames and Adrian Beltre are major sleepers to keep an eye on, while Alex Rodriguez is bound to get hot.
By Tommy Rancel //
In this era of advanced statistical analysis, some of baseball’s traditional stats have become less relevant when evaluating players. One of those metrics is batting average. That’s not to say batting average isn’t useful, or isn’t a sign of hitting ability, but it doesn’t tell a complete story. Plus, there are other statistics like on-base percentage – or weighted on-base average for more advanced followers – that are more useful.
The value of batting average has changed in real life evaluations; on the other hand, in fantasy baseball, one of the game’s simplest statistics still holds weight. As an owner, you may be able to leverage a high batting average in a trade that nets a bigger piece to your puzzle without sacrificing an important piece of your team.
Martin Prado is a prime example of a player who has his fantasy value tied into his batting average.
In real life, Prado is a good player. With his role increasing over the past few years, he has put up very good numbers from the middle infield position. His career slash line (AVG/OBP/SLG) is a very respectable .310/.364/.451 and his defense is generally accepted as average. Without much power or speed, but a good average, Prado looks like a young Placido Polanco.
Graph courtesy of Fangraphs.com
Prado’s efforts have largely gone under the radar because he doesn’t possess a hulk-smashing power stroke, nor is he considered a defensive dynamo. Still, in 2010, Prado has gotten off to another good start. He is hitting .339/.397/.459 thus far, with the bulk of his value again in that batting average.
Currently, Prado has a batting average on balls in play (BABIP) of .382. Compare that elevated figure to the average ballplayer’s BABIP of around .300. For his career, Prado has maintained an elevated BABIP of .341; even at that level, a .382 mark suggests that some batting average regression will be coming.
Beyond the potential BABIP regression, let’s take a look at the types of hits Prado gets. He is not a power hitter, although he did belt 11 home runs last year. Outside of those 503 plate appearances (PA) in 2009, he has four home runs total in his other 482 PAs – including one home run in 117 PAs this season. He does have 70 career doubles and five triples; however 68% of his 276 career hits have been singles. This season, 26 of his 37 hits have gone for one base.
Even if the regression happens, you’ll likely be left with a good (but not great) hitter. If you’re already looking good in the batting average category, Prado could be a valuable trade piece to cash in for power or steals – commodities he lacks.
In a standard 10-12 mixed league, Prado’s average could be used to net a slumping/slow-starting power-hitter who will not only provide home runs, but RBI as well.
A prime target would be Hunter Pence of the Houston Astros. Here at Bloomberg Sports, we have already talked about Pence being a slow starter; 2010 has been no different. We also noted that Pence usually gets going around this time and doesn’t look back. With back-to-back 25 home run seasons under his belt, there is nothing to suggest that the 27 year-old can’t produce the same in 2010 once his bat heats up.
Alternatively, you could keep Prado as a batting average buffer and go after a high-power, low-average hitter. Carlos Pena and his .200 batting average could make a strong target. The Rays first baseman is blessed with 35-homer power and hits fifth in one of the most dynamic lineups in baseball, making him a great candidate for big counting stats.
There is no rush to trade Prado. The in-season updated projections from ZiPS (for more on ZiPS click here) have him hitting .311/.365/.439 with eight home runs in 2010. However, if you can leverage his batting average in a trade and pick up a struggling player like Pence, who is projected to hit 22 home runs and drive in 76 runs by the same projection system, it might be something worth looking into. Or keep Prado and go after a Pena type. Either way, you’ve got options.
For more on Martin Prado and high batting average players, check out Bloomberg Sports’ Fantasy Kits.
by Eno Sarris //
Any time a pitcher has an early-season ERA more than two-and-a-half runs lower than their career ERA, the easy tendency is to attribute the success to luck. And to some extent, this is true – it’s very, very rare for a 4.00 ERA pitcher to put up a full season with a 2.50 ERA. But young pitchers also make strides, and real progress shouldn’t be discounted. Where does Phil Hughes fall in this spectrum? If you look at the spider graph below from Bloomberg Sports Fantasy Tools, he’s certainly looking good right now.
First, let’s tackle the low-hanging fruit. Batters have a .162 batting average on balls in play against Hughes right now. That number will regress toward the .286 career BABIP that Hughes has accumulated. That means more dinks and dunks and line drives past outstretched gloves – and more runs. Hughes has also stranded 87.4% of his batters on base; MLB average for that largely luck-based stat is usually around 70% MLB-wide. So we know that some correction is on the way with Hughes.
But Hughes has also made some legitimate strides. Check out Hughes’ fastball velocity on FanGraphs; much was made of an initial drop in his velocity, from the mid-90s to a less exciting 91 MPH. Then the team moved him to the bullpen, where pitchers traditionally add about 0.7 miles per hour in velocity according to this study by Jeremy Greenhouse. In the bullpen, Hughes’ fastball started crossing the plate at an average velocity of 93.7 MPH, making him an outlier in terms of adding gas. The good news is that Hughes is currently starting and he retained some of that extra oomph, as he’s averaging 92.4 MPH this year.
Typically, when trying to get at the true talent of a pitcher that is suffering from either bad or good luck, it helps to look at a players’ FIP (fielding-independent pitching). This number strips out BABIP, strand rate, park effects, defensive impact and other factors to get at what a pitcher “should” be putting up in an ERA scale. Hughes’ FIP right now is 3.14, based mainly on his excellent strikeout rate (8.64 K/9). But if you look at Hughes’ xFIP (expected fielding-independent pitching), you’ll see that he’s sporting a more moderate 4.26 number. What gives?
Hughes’ xFIP takes into account that the home run per flyball rate across baseball comes in between 9-11% and that few pitchers stray far outside of this range. But right now, Hughes has a 3.3% HR/FB rate. Even regressing that towards his low career 7.5% number would mean more home runs are on the way.
Wait, you might say – Hughes has a 0.27 HR/9 in 300+ minor league innings, and a 0.83 HR/9 in the majors. Why can’t he limit the number of home runs he gives up? Well, once the ball is in the air he has less control. About one of every 10 fly balls leaves the park across baseball, and that number holds steady, which has spawned more than one impassioned plea for the use of xFIP over FIP. The best way to limit home runs is to keep the ball on the ground, that much we can understand. Hughes is a flyball pitcher with a low groundball rate (36.2% this year). He doesn’t fit the homer-suppression profile.
Rest-of-season projections that use this knowledge of home run rates predict that Hughes will put up about a 4.3 ERA from here on out. This sounds like a big letdown, but it would still result in an ERA around 3.70 for the year. If you told a Hughes owner that he would get a 3.70 ERA with a WHIP under 1.3 and almost one strikeout per inning from his pitcher by the end of the year, he’d be thrilled. Unless you get a knockout sell-high offer on Hughes, hang onto him.
For more on Phil Hughes, check out Bloomberg Sports Fantasy Tools.
By Tommy Rancel //
Under most circumstances, a pitcher who is 0-3 with a 5.40 ERA would be close to a benching – if not dropped – in most fantasy leagues. However, Justin Masterson is a player you should be actively seeking on the waiver wire or via trade.
Masterson has been a portrait of inconsistency in his five starts this season. He pitched 7.2 innings in his last start, following two starts in which he went eight innings total. Despite the winless record and the high ERA, there is a lot to like about Masterson.
First, we have a terrific strikeout rate. With 31 strikeouts in 26.2 innings, the young righty boasts a strikeout per nine (K/9) rate of 10.46. Only Tim Lincecum and Justin Verlander were in that territory last season. Of course the small sample size rules apply, but if he regresses toward his career K/9 of 8.03, that would still translate into 150 strikeouts should he pitch 170 innings.
In addition to the favorable strikeout rates, Masterson is a noted groundball machine. He has induced 54.2% groundballs in his career, and is currently getting grounders 57% of the time so far in 2010. His career numbers suggest that is perfectly sustainable. Again, we love groundballs because they limit the damage that can be done on a ball hit in play. In fact, more than two-thirds (66.9%) of at-bats against Masterson end in a strikeout, a groundout, or a single.
With all that said, Masterson does have flaws. His career walks per nine (BB/9) rate is a bit high at 4.13. This season his BB/9 is 4.05. On the other hand, when a pitcher is getting more than a strikeout per inning, as well as almost 60% groundballs, you can accept a few walks.
The biggest cause of Masterson’s inflated ERA thus far has been bad luck. His batting average on balls in play (BABIP) thus far is an astronomical .420. A normal BABIP for a pitcher is near .300 and Masterson’s career number is .304. Expect regression to come soon, and with it a big improvement in his fantasy numbers.
Here’s another example of Masterson’s terrible luck: Less than one-fifth of the balls (18.5%) hit off Masterson are flyballs. Yet, almost one-third of those flyballs are leaving the yard. Masterson’s current home run-to-flyball rate (HR/FB) of 26.7% is the highest in the league. That number is more than double his career number of 13.2% and much higher than last year’s “leader”, Braden Looper, who had a 15.8% HR/FB for the Brewers.
When his BABIP and home run rates regress, Masterson should see a significant drop in ERA. Presently, his fielding independent pitching (FIP), which measures strikeouts, walks and home runs, is 4.30 – a full run less than his ERA. Going even further, his expected FIP or xFIP, which normalizes his home run rates to further remove “luck” from the equation, and give a more accurate look at true talent level, is an excellent 3.12 – the fourth-best mark in the majors.
Masterson, 25, is still learning how to pitch at the major league level. In general, a starting pitcher needs at least three pitches in order to survive lineups turning over three or four times a night. Right now, Masterson is living dangerously with just his fastball and slider. There are two versions of the fastball: four-seam and sinker; however, batters are seeing some form of the hard stuff nearly 85% of the time. He has been throwing his slider nearly 14% and barely using his change-up, which has a usage of less than 2%.
The sinker/slider combo, as well as Masterson’s three-quarters delivery, have been effective against righties, who are hitting just .226/.288/.302 vs. Masterson. Meanwhile, the heavy heater diet has been a feast for lefties who are smashing him to the tune of .414/.493/.655. If Masterson could spend some time with new teammate Mitch Talbot, the owner of a plus change-up, he could use that pitch as a great equalizer against his left-handers.
All things considered – the strikeouts, the expected regression, and the groundballs – Masterson has the tools to be a solid starter in the American League. Currently, he is available in nearly 60% of leagues.
If you are in a mixed-league, pick him up. If you are in a deeper league or an AL-only league, in which he is owned, it shouldn’t take much to pry him away from an owner who is concerned with ERA. There will be some growing pains, but the potential for reward outweighs the relatively low risk.
For more on Justin Masterson and other buy low candidates, check Bloomberg Sports’ Fantasy Kits.