Archive for Rockies

Another Weird Charlie Blackmon-ism

Charlie Blackmon is an atypical human being.

For one thing, he is a professional baseball player, meaning he is in the extreme upper echelon of athletic ability. But he is atypical even in his personal life, and his recent success has only highlighted his eccentric personality. He still drives a 2004 Jeep Grand Cherokee that he got in high school. He once had to be rescued on the side of the highway by DJ LeMahieu when he ran out of gas. He buys his clothes from Amazon. And of course, he is easily recognized by his impressive beard-and-mullet combo (the latter of which is pronounced “mu-lay” according to Blackmon).

Based on all his quirks, it should be no surprise just how unique his major-league career has been. He didn’t see regular playing time until his age-28 season, an age when some guys are already entering free agency. Despite this late start, he has steadily grown into an MVP candidate. In 2014, his first full season, Blackmon posted 2.0 fWAR, the exact threshold for a starting caliber player. In the three subsequent seasons, he posted an fWAR of 2.3, 4.1, and 6.5. I thought it seemed rather strange to have back-to-back seasons with ~2 WAR improvement, so I went to the leaderboards.

I searched for all batters with a minimum of 400 PAs in each of the past three seasons, producing a sample of 111 players. Then, I calculated the difference between each player’s 2015 WAR and 2016 WAR, and did the same for 2016 to 2017. This gave me two year-to-year improvements for each player, and I threw both values onto the scatter plot below, with Blackmon highlighted in purple.

2015 2017 WAR Improvements

Players generally don’t see improvements like this in back-to-back seasons; Blackmon is about as far to the top-right as you can get in this plot. Of course, value can come from many different places, and a player might make large defensive improvements one year and large offensive improvements the next. While Blackmon did see some improvement in his defensive metrics this season, the bulk of his improvements have come while batting. To get the following plot, I followed the same method as above, this time for wRC+.

2015 2017 w RC Improvements

Again, we see Blackmon floating towards the top right. Baseball is a game of adjustments, and if a batter enjoys a period of success, pitchers will generally approach him differently to gain an advantage. This is why players generally go through cycles, following the push and pull of the game. The past few years, Blackmon seems to be part of a small group of players who have been immune to this tug-of-war effect. He has stayed one step ahead of the pitchers, not only maintaining his gains but improving upon them as time goes on.

How has he found these improvements? Between 2015 and 2016, his walk rate and strikeout rate remained fairly constant, so he must have been getting much better results on balls in play. Sure enough, his batting average increased by 37 points and his ISO increased by 65 points, giving him 49 extra points of wOBA overall. At the time, Jeff Sullivan looked under the hood and found that Blackmon’s GB% was trending downward, and he had been attacking the low strike more so than ever before. Presumably, he realized that his swing path was conducive to driving low pitches into the air, and that balls in the air are more valuable, so he made the adjustment and enjoyed a power spike.

That all makes sense, but it begs the question: how did he improve even more in 2017? If he doubled down on the fly-ball revolution, he risked becoming Ryan Schimpf or Trevor Story.

Much to my surprise, the opposite happened – his GB% actually returned back to his career average. He increased his rate of ground balls, but he still managed raised his ISO by another 42 points. Before you cry BABIP or Coors Field, I’ll briefly note that in both years, his wOBA and xwOBA increased by approximately the same amount, so something real is going on here. In this case, I think he was finding more success on batted balls based on the pitches he didn’t put in play. Stay with me here.

In 2017, Blackmon’s strikeout rate rose by about 2.5%. This is what people in the industry call “not good,” but hold on, his walk rate also rose by…about 2.5%. This isn’t a player who suddenly developed a swing-and-miss problem to sell out for power, this is a player who is intentionally going deeper into counts. When a batter is more selective about the pitches he goes after, he is putting fewer balls in play in early counts, which leads to an increase in both walks and strikeouts simultaneously.

Let’s look at it a different way: Z-swing% measures the percentage of pitches inside the zone that a player swings at, and O-swing% measures the percentage of pitches outside the zone that a player swings at. Generally speaking, you want to swing at strikes and take balls, so you want your Z-swing% to be higher than your O-swing%; the larger the difference, the better your plate discipline.

In 2016, the difference between Blackmon’s Z-swing% and O-swing% ranked in the 9th percentile – he’s always been a bit of a free-swinging leadoff hitter. But in 2017, that difference increased by 4.7%, pushing him into the 26th percentile. While he’s still more aggressive than average, he has become decidedly less so, being more selective about the pitches he attacks and remaining comfortable in deep counts. By swinging at the right pitches, he’s able to avoid the easy outs that result from poor contact on pitches outside of the zone.

We have every reason to believe that Charlie Blackmon just had a career year, and he will never sniff an MVP race again in his career. But then again, we had every reason to believe the same thing last year. When it comes to Charlie, I have some advice: if you expect him to do something, he’s probably getting ready to do the exact opposite. It’s about time we stop trying to figure him out.


MLB Dream Team: Active Players Bound for the Hall of Fame, Part II

In a continuation of my article from yesterday, here is part two of the MLB Dream Team. This article will showcase spots six through nine in the batting order as well as the starting pitcher.

Enjoy!

Batting sixth and playing second base…

Robinson Cano

64.4 career WAR / 50.3 7yr-peak WAR / 57.4 JAWS

Average HOF 2B:

69.4 career WAR / 44.5 7yr-peak WAR / 56.9 JAWS

9th in JAWS out of 20 Hall of Fame Second basemen

Accolades: 8x All-Star, 2x Gold Glove, 5x Silver Slugger, World Series Champion (2009)

For many years, Robinson Cano has been in the conversation as the best second baseman in baseball.

He was an integral part of the New York Yankees 2009 championship squad, and he parlayed his five All-Star appearances with the Bronx Bombers into a 10-year, $240-million contract with the Mariners in 2014. Cano hasn’t lost his luster since leaving New York for Seattle, and he has made three All-Star Games (so far) with the Mariners.

Cano had to beat out Chase Utley and Dustin Pedroia — two likely Hall of Famers in their own right — to earn his position at the keystone sack in this lineup. Ultimately, Cano received the nod because of his sustained excellence. He has played at least 156 games every year since 2007, a level of health that neither Pedroia nor Utley can match.

Cano has also redefined the second-base position because of his ability to hit for average and power. Among Hall of Fame second basemen, Cano’s average of 25 home runs per season ranks second and his 296 career home runs ranks third. In a few years Cano should hold the record for career long balls by a second baseman, and he should be known as the greatest power hitting second baseman of all time.

Batting seventh and playing center field…

Carlos Beltran

70.3 career WAR / 44.3 7yr-peak WAR / 57.3 JAWS

Average HOF CF:

71.2 career WAR / 44.6 7yr-peak WAR / 57.9 JAWS

8th in JAWS out of 19 Hall of Fame Center Fielders

Accolades: Rookie of the Year (1999), 9x All-Star, 3x Gold Glove, 2x Silver Slugger

Carlos Beltran, always a reliable asset, is now in his 20th season. Beltran has been every archetype an athlete can be: young star (Royals); decisive deadline acquisition (Astros); hero (Mets); scapegoat (Mets again); veteran contributor (Giants, Cardinals, Yankees, Rangers); and experienced old-timer (Astros again). Beltran was the fifth-youngest in the majors when he debuted in 1998, and now he’s the third-oldest player in the league.

Beltran came into the majors as a 21-year-old kid for the Kansas City Royals, and immediately showcased his skills by taking home Rookie of the Year honors.

After seven years in Kansas City, Beltran signed with the New York Mets in 2005. It was in New York that Beltran would spend the prime of his career, making five All-Star appearances and taking home three Gold Gloves. Beltran proved to be one of the best players in the Major Leagues from 2006 to 2008, crushing 37 homers, driving in 124 runs, and scoring 123 (per 162 games).

Beltran has aged well, making All-Star teams as members of the Giants, Cardinals, and Yankees since leaving the Mets in 2011. However, the 40-year-old has shown signs of decline this year, and he may decide to hang up his spikes in the near future. Beltran left a lasting impression on the game of baseball, and his 20 years of service deserve a place in Cooperstown.

Batting eighth and catching…

Joe Mauer

51.4 career WAR / 38.5 7yr-peak WAR / 45.0 JAWS

Average HOF C:

53.4 career WAR / 34.4 7yr-peak WAR / 43.9 JAWS

8th in JAWS out of 15 Hall of Fame Catchers

Accolades: MVP (2009), 6x All-Star, 3x Gold Glove, 5x Silver Slugger

Even though Joe Mauer has not caught a game since 2013, he spent 10 seasons and 920 games behind the dish.

Mauer was truly one of the finest offensive backstops ever, and in 2009 he became only the second catcher since 1980 to win MVP (Ivan Rodriguez was the first in 1999). In Mauer’s MVP season, he led the majors in batting average (.365) and on-base percentage (.444), both of which were records for catchers. He also led the AL in slugging (.587), OPS (1.031) and Offensive WAR (7.6). In addition to his MVP, Mauer was the first AL catcher to win the batting title and he holds the record for most batting titles by a catcher, with three.

As well as being one of the league’s finest hitters, Mauer was a force to be reckoned with behind the plate. His great instincts and fielding prowess earned him three straight Gold Gloves from 2008 to 2010, and his 99.51% career fielding percentage ranks seventh all-time among catchers.

Although Mauer’s body has declined over the years, he has performed well since being moved to first base in 2014, and has not made an error this year in 69 games.

Mauer will leave a legacy as one of the greatest hitting catchers ever, and he has earned his place in the Hall of Fame.

Batting ninth at shortstop…

Troy Tulowitzki

44.0 career WAR / 40.0 7yr-peak WAR / 42.0 JAWS

Average HOF SS:

66.7 career WAR / 42.8 7yr-peak WAR / 54.8 JAWS

26th in JAWS out of 21 Hall of Fame Shortstops

Accolades: 5x All-Star, 2x Gold Glove, 2x Silver Slugger

This is the hardest decision on the roster, because in my opinion there aren’t any Hall-of-Fame-worthy shortstops in the majors right now. Alex Rodriguez and Derek Jeter, the two best shortstops of this generation, have retired in the past two years.

I ended up choosing Troy Tulowitzki because he has the best chance of any shortstop in the majors to make it to the Hall.

There were a few ways I could have gone with this pick. At first I considered moving Chase Utley to short, and then I looked at the plethora of up-and-coming shortstops (Carlos Correa, Corey Seager, Francisco Lindor; to name a few).

Ultimately, I chose Tulowitzki — but this would have been a much easier decision if Tulo had stayed healthy during his career. During his prime years with the Rockies between 2007 and 2014, Tulowitzki averaged a respectable 4.8 WAR per season. However, he missed an average of 45 games per year (!) during that period. If you extrapolate his numbers to 154 games (meaning he would miss 8 games per year), he would have recorded 6.7 WAR per season, boosting his JAWS from 42.0 to 50.0.

Although Tulowitzki didn’t stay healthy most of the time, his impact while he was on the field was undoubted, and he deserves Hall of Fame consideration.

And your starting pitcher for tonight…

Clayton Kershaw

58.8 career WAR / 48.7 7yr-peak WAR / 53.8 JAWS

Average HOF P:

73.9 career WAR / 50.3 7yr-peak WAR / 62.1 JAWS

60th in JAWS out of 62 Hall of Fame Pitchers

Accolades: Pitching Triple Crown (2011), MVP (2014), 3x Cy Young (2011, 2013, 2014), 7x All-Star, 1x Gold Glove

Clayton Kershaw, in my opinion, is the best pitcher in the game right now. He has been terrorizing opposing hitters since coming up as a 20-year-old with the Dodgers in 2008.

Kershaw achieved the Pitching Triple Crown in 2011, when he led the league in ERA, wins, and strikeouts. In 2014, Kershaw joined Roger Clemens and Sandy Koufax as just the third player in baseball history to win three Cy Young awards and an MVP.

Kershaw has finished as an All-Star and a top-five Cy Young award finisher in each of the past six seasons, a nearly unparalleled run of dominance, and he has already attained a career’s worth of honors at just 29 years old.

Supposing Kershaw retires at age 37, he has eight years remaining in his career. If we extrapolate his season average of 5.7 WAR to seven more years, then his current WAR of 57.0 jumps to 102.6, which places him as the ninth best pitcher of all time, a very fair assessment.

Kershaw has the lowest career ERA of any starter since 1920* (2.35), and he deserves a plaque in Cooperstown.

*Baseball-Reference defines a starting pitcher as a player whose starts make up 60% of their appearances. Minimum of 50 Innings Pitched.

Special thanks to baseball-reference.com for all of these helpful stats. I could not have written this article without them.


The New* Eddie Butler

Eddie Butler has been a different pitcher in 2017. Through four starts with the Iowa Cubs, he is sporting a shiny 1.46 ERA, a far cry from his career 6.50 ERA after years of turmoil in the Rockies organization. The story here is an easy one to latch on to: top-shelf pitching prospect gets devoured by an offense-heavy ballpark, gets traded to the Cubs, becomes a bona fide ace. It’s the same backstory as Jake Arrieta’s, and the early returns are pointing to the same conclusion.

I am here to disagree. The further I looked into his underlying stats, the more I realized that Eddie Butler still needs to make a serious change if he wants to have any big-league success. In 2017, the “new” Eddie Butler is really the same old Eddie Butler masked by some small-sample good fortune.

Butler has never been a big strikeout guy, so he has to limit walks to survive. While his 2017 walk rate is below his career average, his strikeout rate has dipped as well, leading to a K-BB% of 3.0%. That is not good, and unfortunately, it is right in line with his career mark of 3.3%. The most recent qualified starting pitcher to post a lower K-BB% was 2012 Ricky Romero who had a K-BB% of 2.3%…which was accompanied by a 5.77 ERA. Pitchers with this profile don’t accrue very many innings, and when they do, the results show why.

If you are walking guys without striking them out, you better keep the ball in the ballpark, and Eddie Butler has definitely done that this season. He has yet to give up a single home run in his time with Iowa. David Laurila recently chatted with the right-hander about his new approach, which involves driving the ball downhill and getting back to his two-seamer, while the Rockies always prioritized his four-seamer. This new approach sounds like a recipe for a successful ground-ball pitcher, and it would explain the new ability to limit home runs. But, hold on, Butler’s career FB% is 28%, and his 2017 rate has skyrocketed to 41%, which doesn’t fit the rest of the narrative. Allowing this many fly balls is not a good sign for Butler, who has always had a bit of a home-run problem, as his career HR/FB rate sits at 18% (and no, that’s not just Coors Field – since the installation of the humidor, Rockies pitchers have posted a HR/FB rate of 11.6%). When I look at Butler, I don’t see a guy who found success with a new approach; I see a guy who is prone to home runs with a massive spike in fly-ball rate.

Butler’s success at limiting home runs thus far has allowed him to strand runners at a rate that is screaming for regression: his LOB% of 86.7% would be the highest mark for a qualified starter since Dwight Gooden in 1985. Opposing teams haven’t been able to string hits together against Butler, but that tends to even out over time, especially considering the fact that Butler’s career LOB% is below league average. When you don’t strike guys out, the ground balls eventually find holes, the fly balls eventually leave the yard, and the walks start to come around to score.

To be fair, I have not seen footage of Eddie Butler pitching this year. He might be making guys look foolish, and he might be on the path to becoming the next king of soft contact; if you have watched him pitch first-hand this year, please feel free to share your observations. He does still have the pedigree and he seems to have the work ethic to go with it, and it would make an incredible story if he could put it all together.

After all, Eddie Butler is a professional baseball player, and I’m just a guy with some spreadsheets. But right now, the spreadsheets are telling me to seriously pump the brakes on the Arrieta comps – underneath the ERA, this still looks like the same Eddie Butler.


Prospect Watch: 5 Future All-Stars No One Is Talking About

I chose to stick with hitters in this article, because pitching prospects are extremely difficult to predict, and I think the pitchers who do get the hype are typically deserving. However, I do see a trend of some unnoticed hitting prospects turning out great careers in the majors. Let’s get right to it.

1. Travis Demeritte – 2B – ATL

In 2016, Demeritte went from the Rangers’ to the Braves’ system and spent the entire year in high-A ball, where he dominated at the plate. A 2B with power like Cano, good speed and the ability to get on base is such a rarity.

In my opinion, Demeritte has the highest chance of being a perennial All-Star out of these five prospects. The middle infield in Atlanta has an extremely bright future. I’m predicting that Demeritte will make his splash in 2018, and make his first ASG appearance by 2020 (age 25). Let’s look at his numbers from a season ago:

 

Name Age G AB PA H 2B 3B HR BB SO SB CS BB% K% OPS ISO wOBA wRC+
Travis Demeritte 21 145 547 635 145 33 13 32 78 200 20 4 12.3% 31.5% 0.905 0.283 0.393 139


Let’s compare these to the four All-Star 2B in 2016 and Brian Dozier.

Name G AB PA H 2B 3B HR BB SO SB CS BB% K% OPS ISO wOBA wRC+
Jose Altuve 161 640 717 216 42 5 24 60 70 30 10 8.4% 9.8% 0.928 0.194 0.391 150
Robinson Cano 161 655 715 195 33 2 39 47 100 0 1 6.6% 14.0% 0.882 0.235 0.37 138
Brian Dozier 155 615 691 165 35 5 42 61 138 18 2 8.8% 20.0% 0.886 0.278 0.37 132
Dustin Pedroia 154 633 698 201 36 1 15 61 73 7 4 8.7% 10.5% 0.825 0.131 0.358 120
Ian Kinsler 153 618 679 178 29 4 28 45 115 14 6 6.6% 16.9% 0.831 0.196 0.356 123


Some things to keep in mind as we compare these players: Demeritte was playing in A+ ball, but he did play an average of 12 less games than these major-leaguers. As you can see, it’s basically a two-man race (other than Dozier’s 42 HRs) between Altuve and Demeritte here. While we cannot expect these A+ ball numbers to translate directly against ML pitching, Demeritte definitely deserves more attention in top-prospect lists. While he’s not quite as speedy as Altuve, he has more power, and he walks at a far higher rate. The one glaring weakness is the K numbers for Demeritte. However, some of the top players in the league K at very high rates. As long as the OPS stays high, it doesn’t really matter how a guy makes outs anymore.

I should note that 2016 was a breakout year for Demeritte; in years past he didn’t quite live up to his potential, and also served an 80-game PED suspension. These could be the main reasons why he hasn’t garnered much attention yet. He still has to prove himself to most. However, I’m sold. I’d pencil him in for the majority of the 2020s’ ASGs right now.

 

2. Ramon Laureano – OF – HOU

Laureano has all the tools: he can play any OF spot well, he has speed and pop, and he gets on base. Houston’s farm has taken a bit of a hit due to some trades in the last two years, but that’s because they knew they had guys like Laureano who don’t have super high trade value, but have a chance to be great ML players like the guys they traded. Let’s look at Laureano’s 2016 numbers.

Name Age G AB PA H 2B 3B HR BB SO SB CS BB% K% OPS ISO wOBA wRC+
Ramon Laureano 21 128 461 555 146 32 9 15 73 128 48 15 13.2% 23.1% 0.943 0.206 0.418 159


The numbers speak for themselves. This is the making of a star; where is the hype? I know it’s not a huge sample size, and we don’t have much to go off from the previous year either, but in A+ and AA last year he put up those phenomenal numbers you see above.

If those aren’t All-Star numbers, then I don’t know what are. Laureano’s ability to play all three OF spots will keep him in the lineup everyday and help his chances of making it to the ASG. When he does get the call-up, if his numbers stay relatively close to this, there’s no way he doesn’t make three to four All-Star Games. As of now, he’s more of a speed threat, but as he develops, the speed/power combo will even out and he will be an Andrew McCutchen-type player. Keep tabs on this guy.

 

3. Christin Stewart – OF – DET

While researching Stewart, I couldn’t find an article more recent than September of 2015. There’s no one talking about him…why? As we know, Detroit is aging and looking to deal top players. So, I’m assuming we will be seeing a lot of opportunities for young guys to step up and prove themselves. Detroit’s system isn’t super deep, but that could change anytime if they do decide to move some key pieces. Regardless, I see Stewart as the prospect to watch moving forward; he has the tools to be an All-Star. Let’s check out his numbers from 2016.

Name Age G AB PA H 2B 3B HR BB SO SB CS BB% K% OPS ISO wOBA wRC+
Christin Stewart 22 147 514 622 132 29 2 31 93 154 4 2 15.0% 24.8% 0.883 0.245 0.407 156


The power is impressive, and by this chart he looks even a bit better than the two previous guys I mentioned. However, with the K numbers pretty high up there, and not a whole lot of speed, Stewart is a player that could fall into slumps. Often times, adjusting to the majors can be challenging, and some top prospects never quite figure it out. While Stewart’s MiLB numbers are pretty insane, his slump potential makes him a pretty risky pick here. However, I do believe that if he does indeed figure it out, he will make it to a few ASG and serve as an everyday player in this league for a decade. HRs and BBs get it done. Keep an eye on Stewart.

 

4. Jason Martin – OF – HOU

Another Houston OF prospect…another future All-Star? I think so. The future is certainly bright over at Minute Maid Park: Altuve is a cornerstone, Correa is a centerpiece, Springer is a baller, and they have prospects for days. If they can just figure out how to pitch, they could be a WS contender for the next eight years.

Why Martin, though? Let’s check out his 2016 numbers from high-A ball.

Name Age G AB PA H 2B 3B HR BB SO SB CS BB% K% OPS ISO wOBA wRC+
Jason Martin 20 121 431 502 114 25 7 23 63 112 22 12 12.5% 22.3% 0.874 0.251 0.382 131


Impressive, to say the least. At just 20 years old, he pumped out 23 homers in 121 games. He walks every eight at-bats, and he also grabbed 22 bags on the season. The ability to walk and run (lol) will typically keep guys out of major slumps. While Martin is not a highly-touted prospect at this point, I think he will be a household name by 2022. I expect him to get the call-up in 2019 and play a significant role during a pennant race that year. In 2020, he will burst onto the scene and prove his worth to this franchise.

With Houston’s current build, this might be a guy we see dealt if they are trying to add talent at the deadline this year. That doesn’t change my prediction, however. I see Martin suiting up for the ASG a few times throughout his career. Stay posted.

 

5. Tom Murphy – C – COL

You can’t keep putting Yadier Molina in there every year. And with Buster Posey most likely making that change to 1B full-time within three years, Jonathan Lucroy getting dealt to the AL, Kyle Schwarber playing OF, etc, pathways for guys like Tommy Murphy open up. Making the All-Star Game as a C is not saying as much as other positions, in my opinion. A decent hot streak in the first half will inflate your hitting numbers. For example, Derek Norris in 2014. It may seem like he was the best catcher in the league at the halfway point, but, as usual, it evened out by season’s end.

With that being said, Murphy has proven he has pop, and playing in Colorado is a huge advantage for him. While I don’t think he will be a Hall-of-Fame catcher, I do think he’s flying under the radar right now and will probably open some eyes in 2017. I’d say he makes two appearances in the ASG before 2022. However, once he gets up near 30 and he’s no longer playing in Colorado, I think he will have trouble keeping a job.

I have him on the list, first of all, because he meets the criteria, and also because I think people should pay attention to him, and lastly because he’s ML-ready, unlike the rest of these guys. Trevor Story didn’t have a whole lot of hype; most people didn’t expect him to make the team out of spring, but with the Jose Reyes situation, the kid got a shot and as we all know, he ran with it. I’m not saying Murphy will make a cannonball-esque splash like Story, but I think he will turn some heads and maybe even get some ASG votes this year. Anything can happen, especially in Colorado. Keep tabs on him.

Honorable Mentions

Dylan Cozens – OF – PHI

There’s not a lot of buzz surrounding Cozens, which is surprising to me, because usually when we see 40 HR in 134 games, we really perk up. In his age-22 season, he played all 134 games at the AA level for the Phillies affiliate, Reading Fightin’ Phils, a place where most Phillies prospects prosper. The reason why Cozens doesn’t quite make the cut here is because of the words, “future All-Star.” He is one of those lefties that mash in the right ballpark and against RHP, but usually career platoon hitters, even if they are highly effective, don’t make the ASG.

Rhys Hoskins – 1B – PHI

Hoskins is another AA player in the Phillies system. He probably has a little bit more of a well-rounded hitting ability than does Cozens, but he’s a 1B, and that’s an overloaded position. You have to be incredible to crack that ASG squad, and I just don’t think Hoskins will ever be quite at that level. I do believe he will pan out to be an everyday guy for a good amount of time in this league. He has really good power and he gets on base, two things that will keep you in the lineup more often than not.

Bobby Bradley – 1B – CLE

Bradley is another guy I would keep an eye on; I’m just not sold on him yet. He has a a lot of raw power, but a really high K rate in the low levels of the minors. Also, he’s a 1B, so once again, really hard to make the ASG at that position.


Feasting on Garbage: Early Strength of Schedule and Team Offense

The Oakland Athletics and the Colorado Rockies are two of the most productive offenses in the league this year, both ranking in the top 5 teams by wRC+. By contrast, the Brewers and Cardinals have been below-average so far, with a 93 wRC+ and 96 wRC+ respectively. Could the strength of these teams’ early schedules be a factor in these varying levels of production?

To evaluate this, I tabulated the actual innings pitched by opponents of the Athletics, Rockies, Brewers, and Cardinals so far in 2014, and then tabulated the anticipated innings for upcoming opponents in June, assuming 9 innings per game. (You could pick any four teams you wanted; these were the ones that interested me). To evaluate the quality of the pitching staffs faced, I used SIERA (published here at FanGraphs) to evaluate the runs the pitching staffs would have been expected to give up, on average, in light of their actual skill sets. Last year, SIERA explained 63% (by r2) of the variance in runs given up by team pitching staffs, making it a good choice for this exercise. Because the pitchers faced in a game are largely outside an opposing team’s control, I used the current, team-average SIERA for each pitching staff, and weighted each inning of a team opponent by that value. I totaled the weighted values to get an aggregate SIERA for the collective opponents of each team.

Let’s start with quality of opposing pitchers for each team in the two months so far:

Opponent SIERA
Lg. Avg. Athletics Rockies Brewers Cardinals
3.73 3.86 3.65 3.58 3.62
AVG RUN EFFECT +7 -4 -8 -6

SIERA can be a difficult statistic to appreciate because it operates on a tighter curve than other pitching statistics (ERA, FIP), and small differences have a surprisingly large effect on runs allowed.  Remember that as with most pitching metrics, however, lower is better.

Let’s work from the league-average SIERA so far this year — 3.73 — to make some overall observations. First, the Rockies’ production is quite impressive, as they were facing above-average pitching skills yet managed to generate a 110 wRC+. The Athletics, on the other hand, generated the same 110 wRC+ as the Rockies, but the quality of competition was entirely different. For the past two months, they’ve had the privilege of teeing off on opponents with an average staff SIERA of 3.84. That is literally like facing a team slightly worse than the Astros (3.83 SIERA) every day for two months.

Contrast that with the task faced by the Brewers and Cardinals so far. To date, the teams faced by those two clubs have posted an aggregate SIERA of 3.58 (Brewers) and 3.62 (Cardinals). On average, that’s like facing a top-10 pitching staff every day for two months. Is it all that surprising, then, that these two teams, widely thought to be above-average offensively when the season began, have struggled to live up to offensive expectations so far?

How does this difference actually affect runs scored? That is a tricky fact to isolate. Drawing a zero-coefficient, least-squares line, each .01 of SIERA has been worth about half of a run so far in 2014. (That rate is comparable to the entire season of 2013, suggesting that this ratio stabilizes fairly quickly). By that measure, as shown in the above table, we would expect their tough schedule to have cost the Brewers almost a win (8 runs) over average in runs scored so far, and almost a win-and-a half as compared to Oakland (15 runs difference). The Cardinals are not far behind.

But that is just the average runs lost, and does not account for the outliers. It probably won’t surprise you to learn that the largest deviations (residuals, technically) from the relatively modest average tend to come from teams at the bottom half of the pitching barrel. When these teams have a bad day, they are really bad, and they are prone to getting blown out. These teams include the White Sox, the Rangers, and the Astros — teams that, as it so happens, have been well-represented on the Athletics’ schedule to date. Certainly, we should expect good teams to blow bad teams out, but when your offensive success consists substantially of beating up bad pitching, it’s hard to say how good your offense really is. The Brewers and Cardinals, on the other hand, have enjoyed healthy servings of the Braves, the Cubs, the Reds, and also each other. All of those teams are in the top half of the league by SIERA, and none of them has a tendency toward outlier scores that allow an opponent to super-size their run differential.

What’s particularly interesting, though, is that this imbalance is about to change in the month of June. Here is how it looks right now:

Opponent SIERA
Lg. Avg. Athletics Rockies Brewers Cardinals
3.73 3.67 3.48 3.87 3.75
AVG RUN EFFECT -3 -13 +7 +1

Things project to be different this month. In June, it is the Brewers’ turn to feast on garbage pitching, as they essentially get to bat against the Astros pitching staff for the entire month (3.87 SIERA). The Cardinals aren’t quite as fortunate, although they still get to face slightly below-average pitching (akin to facing the Rays every day), whereas the Athletics at least have to face a top-half schedule by aggregate SIERA. The poor Rockies, on the other hand, fare worst of all, with a schedule that could not be more grueling: the Braves, Brewers, Cardinals, Dodgers, and Nationals, among others. If the Rockies still come out of June with an above-average wRC+, we can safely say that they are probably a true-talent, above-average ball club, at least when healthy.

The point of all this is not to say that Oakland is some kind of fluke. That team’s out-sized run differential is also a credit to excellent pitching, and it is not Oakland’s fault that it was assigned what turned out to be a favorable early schedule. Yet, this analysis provides yet another reason to be careful when relying upon early-season run differentials.  Before you get too enamored with a team’s production to date, take a close look at the opponents a team has played. You may find that a team’s seemingly-extraordinary results appear to be less so, when you properly weight the skills of the opponents who allowed those results to come about.

Follow Jonathan on Twitter @bachlaw.

Jonathan writes a weekly column about the Brewers at Disciples of Uecker. He has also published at Baseball Prospectus.