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Curveballing with Cleveland

Last season led the MLB to the extremes of curve-balling rates.

Since 2002, the first season of pitch tracking, four of the top six teams in single-season curveball usage came from last season (starters only). In third was the 102-win Cleveland Indians, in fourth was the 104-win Los Angeles Dodgers, in fifth was the 101-win Houston Astros, and in sixth was the…66-win Philadelphia Phillies. It’s probably just coincidence that the three best teams threw the most curveballs. But that’s not what this article is about.

The Indians led the league curveball rate in 2017, with their starting pitching staff throwing 20.6% curveballs. They were historically extreme last season, but they weren’t all that extreme last season compared to last season. The Dodgers starters threw curveballs 20.1% of the time and the Astros starters threw curveballs 19.4% of the time. But no matter what time period you want to look at, they were extreme in curveball effectiveness.

Pitch values are not the best evaluator of success, but they can give you a good indication of success with enough of a sample. Atop the starting pitcher curveball pitch value leaderboard for 2017 sits the Indians, accumulating 56.3 runs of value. The Diamondbacks come in at second with a run value of 25.6. The difference between those two teams is the same as the difference between the Diamondbacks and the 13th place Reds. Going back to 2002, no team comes even close, with the 2003 Cubs ranking second with 30.9 runs. Obviously, though, if they threw curveballs that much, they are going to rank highly. Using standardized pitch values, which measure run value per every 100 pitches, the Indians ranked first last season with a 1.80 mark. The Yankees were second, posting a not very close 1.35 figure. Since that 2002 season, Cleveland’s standardized pitch value from last season ranks third.

It may be easier to visualize the ridiculousness. Below is a plot of the curveball rate (as a decimal) of every individual team single-season since 2002, along with their standardized pitch value. The 2017 Indians are in orange.

Almost no team has matched their curveball run value in general, but accounting for the frequency with which they throw it, 2017 Cleveland is on another planet. No team that threw curveballs at least 15% of the time comes close to touching the Indians pitch value from last season. How were they this good?

Corey Kluber’s absurd breaking ball is up to debate whether it is a slider or a curveball, but Fangraphs pitch type classifies it as a curveball, so it is a curveball for this purpose. Since 2014, Kluber has accumulated 97.9 runs of pitch value on his curveball. In that same time period, no other team as a whole has accumulated more than 40.9 runs. Which isn’t that surprising when the pitch looks like this:

It’s not all Kluber though. If you remove his 37.8 run value from the Indians 2017 total, the team would still rank fourth overall with 18.5 runs. Let’s look at what the rest of their rotation was putting on hitters.

When you think of Carlos Carrasco and his breaking ball, you probably think slider, but he’s jumped on the curveball train. After throwing it less than 10% of the time in 2013-15, his curveball usage climbed all the way 16.2% last season. It didn’t lose any effectiveness:

For Trevor Bauer, his curveball is how he’s found success for most of his career. So why not throw it more? That’s just what Bauer did, bumping it’s usage from 19.4% in 2016 to 29.8% in 2017 en route to a breakthrough season. Who knows how to get a pitch to move like this:

Josh Tomlin never threw his curveball more than 15% of the time in any previous season, but used it 24.1% of the time in 2017. The Indians may be on to something:

In his sophomore season, Mike Clevinger shaved more than two runs off his 2016 ERA of 5.26. He also doubled his curveball usage to 11.6%. Here it is:

All of these guys were in Cleveland in 2016, yet the starting rotation ranked “only” seventh in the league with a 4.08 ERA. In 2017, the starters ranked second with a 3.52 ERA. The trend here is clear. All of these guys, including Kluber (who went from 19.7% to 27.4%), significantly increased their curveball usage. All of them had career years.

It’s evident that Cleveland came together as a staff and made a decision to throw their breaking balls as much as possible. It appears to have worked. As noted by Jeff Sullivan, the Indians may have had the best pitching staff of all time last season. That includes their incredible bullpen, but the starting rotation held up their end of the bargain as well.

The team did something unbelievable in 2017. Cleveland combined historical curveball usage with historical curveball effectiveness. All five of these pitchers return next year. Don’t be surprised if the Indians stretch the bounds of curve-balling even more in 2018.


Maybe the Brewers Are Stepping Up Because of Zach Davies?

Not entirely, no. Before acquiring Christian Yelich and signing Lorenzo Cain, the Brewers still had a host of other talent scattered throughout their lineup that made them interesting, if not necessarily intimidating. But Davies occupies a particular space that their more established players have surpassed and that their other younger players have yet to enter.

He’s going into his third full season and has provided nearly six wins for the team, and his approach could make you believe he could keep doing that in the middle of the rotation. He’ll play 2018 at just 25 years old.

Travis Sawchik detailed why Davies is an outlier toward the end of last season. At 6’0, 155, he creates his success by combining guts, guile, and execution. Of those three characteristics, guile may pique the most interest.

Davies Sequencing

From his start on July 19 and after, Davies was a different pitcher. He made a big adjustment to his sequencing as he adapted the usage of his secondary pitches to better complement his two-seamer.

Davies’s two-seamer and changeup fade to the same quadrant of the strike zone. If he was working off the fastball, it may have been giving batters a better opportunity to tee up a changeup because of how tunneling works. They would have looked the same to batters by the time they had to decide to swing, generating a similar bat path.

Meanwhile, his cutter and curve could have come out of the same tunnel as his two-seamer, but ended up working the opposite side of the plate. Batters would have had a much more difficult time picking up what was coming next.

Davies heatmaps

Given how Davies’s two-seamer and changeup work the same area of the plate, it’s interesting that their drop in wOBA was identical after July 19, and equally interesting that the cutter and curveball became so much more effective.

These differences after Davies’s change in sequencing speak to the possible impact a tunneling effect could have had on his overall game. While tunneling isn’t necessary for pitchers to have success it may be especially productive for a guy who throws in the low 90s and lives on the edges of the zone.

Sequencing better in any count is bound to help performance, but it appears to have helped Davies in one particular situation. When he was behind 3-1 before July 19 — 38 times in 19 starts — hitters were smacking the ball into play at over 100 miles an hour. After that date — 26 times in 14 starts — he coaxed hitters’ exit velocity down to 87.3 mph. Once or twice a game, Davies turned absolute screamers into much more average balls in play. That’s critical when a pitcher isn’t going to generate outs on his own with whiffs, as Davies won’t with his career 6.55 K/9.

We can probably fairly consider this adjustment as deliberate, based on another quote from him in Travis’s article:  

“I think it just comes down to the other side of the game that not a lot of people pay attention to…[t]he thinking part of the game…[smaller guys]  have to rely upon smaller details about their game that can give them an edge.”

What if that also explains, at least partially, how the Brewers decided to go big by trading for Yelich and signing Cain? Teams have billions of data points to measure player performance. Davies’ subpar raw skills apparently haven’t kept him from being able to make adjustments and providing tangible value, despite falling outside what those data points might influence teams to prioritize. In this respect he’s a player who gives his team a unique edge.

We’ll have to wait to see an encore from Milwaukee’s holdovers from 2017, as well as the impact their newcomers make. But Zach Davies finds himself at the heart of a team looking to make some noise in a challenging NL Central.

All data from Statcast.


The MLB Prize Money Solution

First things first, I’m an Englishman and baseball is my favourite sport [I’m English, so Americans, you’re getting an extra “u” there]. This makes me rather unusual in my home country. Most popular in English sport is soccer, a ball game you play with your foot [let’s not go there]. I’m guessing there may be a few Premier League fans here who read Fangraphs, but with the assumption that most of you won’t have much interest it, I have a suggestion to fix some of MLB’s financial problems by importing an EPL solution. MLB needs proper prize money.

I’ll address the elephant in the room. It might sound a bit mad to try and fix MLB’s financial problems by importing strategies from the Premier League, where free-market capitalism is stronger than in MLB and player contracts on small teams can be bought out by rich teams in player transfers. It made it hard to compete if you weren’t a rich team, until recently. In 2016, Leicester City became the only team in 20 years to break the strangle-hold the four richest teams have had on the Premier League title. One reason they managed it might be the way the EPL shares its money out.

Most money made in sport today comes from the TV rights deals made so fans can watch their teams play without needing to go to the stadium. The EPL does this better than any other sport, so despite coming from one of the world’s middle nations in terms of population, it brings in more money per team than almost any other. It does this by the league selling all the commercial rights collectively. This income gets shared out as prize money between the teams based on their records at the end of each season, with a good baseline for all. This meant that last year, Sunderland, finishing as the worst team in the league, got £93.5m ($132m – I’ll convert all figures to dollars from now on) and Chelsea, who won the league, got $212m in prize money. The worst team received around 62% of the prize money the best team did.

Baseball’s TV rights money is (mostly) negotiated separately team-by-team and is one major cause of the variance between incomes of the rich teams and the small teams. One reason the Yankees and Dodgers have the highest payrolls is because of the huge chunk of TV money they collect. The reason the Rays, Pirates and Marlins are at such a disadvantage is because they can’t collect anything like as much. The result is, in order to be competitive at all, they might need to consider losing more, draft well and return to competitiveness in a few years with good, cheap, young players. Financially, they don’t really lose out much by doing so and there are great risks in spending beyond their means in free agency to try and improve (both in results and financially).

It might also lead small and mid-market teams to be conservative in the free agent market. A lower income team might not risk signing a player to a big contract as one big mistake prevents them having the money to fund a good team with their financial burden. A common belief amongst Braves fans was their rebuild in 2014 was in part precipitated by the two big contracts that started producing little on-field value in Melvin Upton and Dan Uggla (together $25m for around zero WAR in 2013 and 6 years left on their contracts). With their good performance, the Braves might have made the playoffs. Without it, they didn’t have the money to replace them, leading to mediocrity or a rebuild. The risk of a big contract failing to provide value dissuades small-market teams from signing free agents much more than big market teams. This off-season’s cold stove has also seen high-income teams saving rather than spending. But there may be a way to encourage the lower-income teams to spend more:

Distribute significant prize money based on winning percentage at the end of each season, funded by collectivizing the TV rights money for all MLB teams. [You could also add a bonus pool for playoffs]

This would do a number of things. Assuming a breakdown of prize money like in the EPL, outlined above (worst team gets 62% prize money of the best team), it would give a higher baseline income to the very low-income teams like the Marlins/Rays/Pirates/A’s. The Marlins new management claimed the club’s losses required them to lay off their expensive contracts this winter. They flooded the market with good players which helped suppress the FA market. The Rays wouldn’t need to trade Longoria for money reasons. The A’s wouldn’t need to trade any good player they have who gets too expensive in arbitration.

The prize money would also provide better financial incentives for teams to try to win more games. The Royals made some significant payroll increases when they started winning in 2014-15 because of the extra revenue it generated. But the majority of that revenue came from their playoff appearances. This method would also provide some incentive to the mediocre teams. The last few years have seen mediocre teams like the Braves, Padres, White Sox and now the Marlins and Pirates trade away some decent core players through having little incentive to remain mediocre and aim upwards. Having good players on the trade market every offseason has (in part) led to the “super-teams” and “rebuilding-teams” dynamic and is likely helping suppress free agent contracts. Let’s say that being mediocre led to $30m more in prize money than being awful. That money might motivate some middling teams to spend and push upwards to the playoffs rather than trade downwards to a rebuild. Middling teams spending more might also threaten the positions of the “super-teams”, pushing them into spending more in the free agent market.

Coda:

The EPL still hasn’t fully overcome its problem with rich teams winning the league every year and poor teams having no chance. Manchester City is amongst the league’s richest teams and are top of the league by a long way this season. Chelsea (another rich team) won last year. The original winning/financial inequality came about because the top four teams (Man U, Arsenal, Liverpool, Chelsea) qualified for the Champions League every year so got significantly more income (through its TV rights) than those who didn’t qualify. This led to the same four rich teams filling the top four positions in the league from 2003 to 2009, often because they could afford to buy other team’s best players. That aspect hasn’t really changed; only five teams have won the title in 20 years. However, as the prize money in recent years went above $80m for the bottom placed team, the mid- to lower-income teams were able to afford really great players too. If you watch every week you can’t help but notice how much more competitive every game is now. Rich teams are often beaten by poorer teams; Manchester United dropped out of the top four, so did Liverpool, replaced by Spurs and Manchester City; Leicester won the title. It made the league more competitive and better to watch. Perhaps until this year when the transfer market went bananas and suddenly $132m might not buy much anymore. This year’s Man City team could be like this year’s Yankees team. Rich and dominant. I’m sure fixes will be needed in future to stop the dominance of money. But baseball could still learn a thing or two from the Premier League.

Resource:

http://www.telegraph.co.uk/football/2017/05/16/premier-league-2017-prize-money-much-club-line-earn-season/

http://www.bbc.co.uk/sport/football/40125394

https://www.forbes.com/teams/kansas-city-royals/

https://en.wikipedia.org/wiki/List_of_professional_sports_leagues_by_revenue

https://www.fangraphs.com/blogs/estimated-tv-revenues-for-all-30-mlb-teams/


Is ‘Tanking’ in Baseball Worth It?

With all the blabbing about the fire sale of the Miami Marlins, and less so with the Pittsburgh Pirates, does the philosophy of ‘tanking‘ in Major League Baseball work? Can it come to fruition the same way it does in the National Football League or the National Basketball Association?

The biggest and most obvious difference in those sports is the vast majority of players you’ll draft in the NFL or NBA are ready to play (even start) the following season. Not only that, players are more of a ‘sure thing’ in those leagues; you’re more likely to hit on a player since the pool is much more shallow than it is in baseball.

While in MLB, there are several levels to break through before you’re actually ready to play in the top-level.

Now, I understand the angle of ‘tanking’ to accumulate funds and eventually splurge on some free agents or wanting to make your team younger. I can follow that train of thought (sort of) but we are going to go on the premise that teams are doing it to grab top-level draft picks through each round.

Yes, the Houston Astros and Chicago Cubs, after many seasons of horrid baseball, are now World Champions thanks to patience and a great analytics department. Let’s just break even and apply this to your average front office.

According to research done by Cork Gains of Business Insider back in 2013:

“After three years, we will probably only see about 15% of this year’s draftees in the big leagues. And for most players, it will take 4-6 years to make it to the highest level”.

Let’s take a more recent peek at draft success within the first five rounds of the MLB draft. We only go that deep because, honestly, after that point (and even five rounds is a reach) it’s mostly a crap shoot and I’d venture to guess no team has any sort of advantage over the other.

I’m using five years as its reasonable to expect, even with a high schooler, to reach the big leagues within that amount of time.  Of players drafted in 2017, none have reached the majors; no surprise there. In 2016 just one player drafted, third-round pick Austin Hays of the Baltimore Orioles, has made it to the majors. We ought not to reference that year, either.

The 2015 draft is when we start seeing results.

2015Draft

Of first rounders in the 2015 draft, first overall pick Dansby Swanson debuted in 2017. Alex BregmanAndrew Benintendi, and Carson Fulmer all came up in 2016.

In the 2015 draft, out of 165 players picked in the first five rounds, 7% have made it to the big leagues.

It goes without saying the list grew considerably in 2014 and it follows that it would in subsequent drafts. Out of rounds one through five in 2014, we have 19% currently in the majors.

2104Draft

Let’s investigate the success rate by round, referencing research done by Mike Rosenbaumof Bleacher Report.

draftSuccess

 

So the first round, you’re likely to get two out of every three players in the majors, then 50/50 in the second round. However, this chart is no reference for success or failure for the player once they do reach MLB.

The standard deviation of success rate drop-off is 4.96%, with a variance of 24.6%

Here, we’ll observe the first overall picks since 2006 and their yearly average WAR from all MLB seasons.

no1WAR

The first-overall pick in this era yielded about 50% averaging WAR over 3.2 (we’ll get to the context in a bit).

Lastly, let’s look at the cumulative WAR of rounds one through five, starting at 2011 to 2015. As mentioned before, there was just one player who reached MLB that was selected in the first five rounds during the last two years.

avgWARDraftRd

*Mookie Betts 24.1 WAR

So the chart lends itself to logic; the older the year, the higher the cumulative WAR. But, there is still a lot we don’t know yet as there are still players in the 2011 draft toiling in the minors, yet could break into the big leagues in the next year or so.

Yet, something funny happens. There is a spike in WAR once we get to round 5. As noted, the majority of WAR from that round in 2011 comes from Mookie Betts. Could we infer that later rounds will increase as well? Probably not, as the random variation would likely be all over the place player to player. But it’s not a stretch to assume that you can find just as much value in later rounds as you can in the first couple.

Obviously, the bigger success stories come from the first round. But, keep in mind that’s just one player. On a team of 25 guys, it’s less likely that this player can turn an entire franchise around by themselves. In the NBA its possible, or the NFL where a quarterback can pull a team out of mediocrity within a year or so.

I’ll average the first round pick WAR to get an idea of what a team who continually ‘tanks’, could expect to get out of first rounders for the next several years.

2011- 2.8
2012- 1.7
2013- 1.2

Again, this isn’t concrete information but it’s enough data to get a rough inference. If you ‘tank’ for several years, and get a high first round pick, you can expect to get a players who will average a WAR of about 3 (after about five years); the average WAR of a number one pick (using the data in the ’06-’16 chart) is a little better than 2.

So you’ve got a good shot to get a player considered decent or, at best, above average.

The following chart give some context on WAR for those unfamiliar.

WARvalues

Is it really worth ‘tanking’ in baseball? In, say, five years of mediocrity, how often can you expect to hit on a player in the early rounds (average 2.5+ WAR)? Again, in the first round (’06-’16) chart above, you’ve got a 50/50 shot. Is it worth driving your franchise into the ground with those kinds of odds?

Like I’ve said before, we are using a small amount of data that is on a sliding scale (the older the draft, the higher the WAR). Since it would take roughly 3-5 years for an organization to acquire draft picks that could break into the league and help push the team into championship contention, it’s not too far of a reach. Meaning you can expect your first couple of picks per year to start normalizing WAR after a couple of seasons…if they reach the majors at all at all.

So is ‘tanking’ worth it? Allegedly to the Marlins and Pirates, it seems to be. They have highly paid analysts and I’m a lowly blogger, so they know better than I do. But, with the information I’ve been able to acquire, it doesn’t seem as though stockpiling high picks will benefit an organization enough to risk losing fans, revenue, and respect in MLB in the short term.


Lorenzo Cain Follow-Up: Market Value and 2018 Projections

As one of the remaining top free agents, Cain agreed to a 5yr/$80M deal with the Milwaukee Brewers. Reports indicate that Cain will earn $75M from 2018 to 2022 ($13M/$14M/$15M/16M/$17M) plus incentives, in addition to a deferred yearly payment of $1M for years 2023-2027 ($5M total). Based on Cain’s projected Market Value, he should be worth close to 9.6 sWAR for the next 3 years ($84M approx. Assuming 5% inflation per year). Understandably, Cain’s history regarding injuries and durability is a considerable factor moving forward.

A new home should benefit Cain’s offensive output. For the past 3 years, Miller Park has averaged a 106 HR Factor for RHB; which is significantly (P = 0.03) higher than Kauffman Stadium’s 88 (RHB) in the same period. Moreover, Cain has not “slowed” down, his sprint speed for last year (29.1 ft./sec) ranked him in the top 20 overall, in addition to being ranked in the top 10 among Center-Fielders as well.

Based on the aforementioned factors, Cain’s 2018 updated projections represent an increase in both OPS and ISO from last season. He should be able to get on-base at an above-average rate (0.358 OBP) in addition to an increase in SLG from last year. Although his wOBA is projected to regress marginally, Cain’s updated projections still aim toward a 3.7 sWAR (as a CF) for this upcoming season. Please find Cain’s updated 2018 projections in the chart below.

2018 Projections: Lorenzo Cain

YEAR AGE sWAR wOBA OBP SLG OPS ISO AVG K% BB%
2015 29 5.5 0.360 0.361 0.477 0.838 0.170 0.307 16.2% 6.1%
2016 30 2.7 0.322 0.339 0.408 0.747 0.121 0.287 19.4% 7.1%
2017 31 4.1 0.347 0.363 0.440 0.803 0.140 0.300 15.5% 8.4%
2018 32 3.7 0.336 0.358 0.457 0.815 0.157 0.300 16.9%

7.4%

———————————————————————————————————————————————————Disclaimer: SEG projections are computer-based projections of performance based on the “SEG Projections System” framework. Regarding Wins Above Replacement (WAR), sWAR is the “SEG Projection System” calculation of WAR. sWAR will always stand for WINS ABOVE REPLACEMENT (“WAR”), unless noted otherwise.

 


Looking Ahead to More Batted-Ball Data

Over the past two to there months, I have noticed a continuing trend in the baseball community of asking questions about batted baseball information. Coaches are seeking answers, community members are interested in finding potential diamonds in the rough for their fantasy teams, and real teams. I think with the baseball data which is currently public on the web it seems that we have now plateaued in terms of the information many smart people have gone through. Meaning that the most obvious, and illuminating answers have come from the data. Now the public is picking through the scraps.

I want to preface what I am saying by pointing out that the amount of data that we currently have is amazing and that shouldn’t be overlooked. People (myself included) are now thirsty for more information. More pieces to the puzzle. More answers to the game. More data to try to help players. As players and coaches continue to use devices like HitTrax, Rapsodo, and TrackMan to collect, organize, and judge players it is important to continue to not only educate the public but to also continue to push the envelope of information. These devices collect data and present it in a visual form to help players improve. Some of the metrics include Launch Angle, Exit Velocity, Distance. Which all are pretty common knowledge, and a general understanding among the community. One piece of information that is presented that I feel needs further research is spin rate, and spin axis of batted baseballs.

I suspect that the next big data for information that is released from MLBAM is going to be something on batted ball spin. Ideally, we could look into players data on both spin rate of batted baseballs and spin axis of those baseballs. There are pockets of the internet which now have access to a limited amount of data on this topic, and often times these people are putting out amazing work. Alan Nathan has published several studies on this topic, and a couple of articles looking at batted ball spin. As great as this data is you can get a general sense of the important from reading over the information which is now public. To GENERALLY SUMMARIZE lower Launch Angle Balls need more spin to gain distance, Higher Launch Angle balls would need an average amount of spin to go further. Baseballs that are over-spun or under-spun can lead to reduced distances in both cases.

Coaches have talked in the past about how true backspin on a batted baseball is one of the most important factors to hitting, but we don’t’ have an accurate depiction of this. How important is true backspin? Teams if they had access to Spin Axis of batted baseballs. This information can lead to a whole different conversation. One in which we can look into players who are slicing a ball or fading a ball. Think about it like a golf swing per say. We could have a more accurate look at not only which players are best at creating this backspin, but how much of an effect does this backspin have on batted balls Vs. side spin on batted baseballs?

Which devices like the ones mentioned above becoming more common among coaches and players I feel that these coaches, and players have no context for what they should be looking for. Great you created 4000 rmps of backspin on the ball? What does that mean for you? Oh you side spun it at 3500 rmps, what does that look like if you had more backspin on it? These coaches and players are thirsty for the knowledge, and they are left to make up their our thoughts on what these things mean for players. It isn’t fair to players, and even worse for coaches who are actively looking for the information to help these players. My last thought on this topic is that making the information public makes sense as more coaches are becoming familiar with this.

What happens after the batted ball data is public? (If that were to happen) It brings up an even more interesting topic in my mind. Once we have another piece to the batted ball puzzle we can now start to create mathematical formulas that look into how player are striking the baseball. People have already figured out how to get the attack angles (estimated) on batted baseballs, the spin rate would help to finalize these types of formulas.

Lastly, we would be able to hopefully calculate the Offset of the bat-ball collision. Simply put this “offset” is point that the baseball makes contact with the baseball. Hitting the baseball square, vs. miss hitting it above or below the center of the barrel. This would bring up a bunch of other questions like which player are best at successfully missing the barrel effectively enough to create the best attack angle, back spin, and offset.

More information will continue to be produced, and this data will help baseball move forward. People are asking the questions. Coaches, and Players are seeking the answers. Data holds the answers.


What’s Next for the Pirates?

It’s been about several weeks since the Pirates parted ways with both Gerrit Cole and Andrew McCutchen, the former to Houston, and the latter to San Francisco. Most fans and analysts expect Josh Harrison to be next, and by the looks of it, that’s what he’d prefer.

Some would consider the Pirates to be rebuilding, while others suggest it may be somewhat of a retooling, hoping that some names that were expected to work out, but suffered setbacks either last year or culminating throughout the last several years (like Marte and Polanco) will bounce back or reach expectations.

That, coupled with players breaking through and reaching their potential (like Bell and Taillon), along with other young players (as though the Pirates have any other type of player now) like Trevor Williams, who showed a lot of promise last year, or Steven Brault, who pitched very well at AAA Indianapolis, perhaps the Pirates can field a winning team. It doesn’t hurt that they inked one of the top relievers in the game, Felipe Rivero, who emerged with a breakout season last year, to a four-year deal.

But most Pirates fans aren’t buying it. There was even a petition started on Change.org for “MLB to force Bob Nutting to sell the Pirates”, and to this date it has reached 59,456 signatures. Of course, there is basically no chance that this petition will actually result in anything.

Before both trades, the Pirates projected win total by FanGraphs was a whopping 81. After the Cole trade, it went to- er- stayed at, 81. It did move, though, once McCutchen was dealt, dropping from 81 to 78, which would still be three wins better than last year’s club, which might cause some to say that technically the team is improving, even if it’s by the most basic metric; of course, most would say that’s nonsense.

Last year, the Pirates were plagued by a multitude of problems, from Marte’s PED suspension, a plethora of injuries to, well, everyone, and even to Taillon missing time due to testicular cancer (which he brilliantly rebounded from, appearing as a starting pitcher just five weeks after surgery). Not to mention Jung-ho Kang’s off-field issues and inability to return to the team. The Bucs suffered a six-game setback from last year’s projections where they were expected to go 81-81. They finished six games below that total, winning 75 contests.

The Pirates were basically destined to fail last year. Now many believe that the Pirates are in store for the same fate this year after departing with two of the franchise’s marquee players.

A lot of the Pirates roster will look strikingly similar to last season, except for those received in the trades, which includes: 3B Colin Moran, P Joe Musgrove, P Kyle Crick, P Michael Feliz, among several other pitchers not involved in either of those trades, Nik Turley, Jack Leathersich, and Jordan Milbrath. It is unlikely that those players will make that big of an impact.

It’s possible, without any major injuries, the contributions the Pirates expected to receive last year will be more likely to reach fruition this year. If Gregory Polanco has the kind of breakout season people felt like he might have when the Pirates first acquired him, it’s possible for him to be a 5.0 WAR player. A litany of injuries prevented him from coming anything close to that last year, registering a 0.5 WAR, but with glimpses of power in his minimal contributions.

The same is true for Starling Marte. In 135 games for the Pirates in 2013, Marte posted a 4.8 WAR and 122 wRC+. We are all aware of Marte’s 80 game suspension following him testing positive for performance-enhancing drugs prior to the 2017 season. When he returned, he failed to be the player the Pirates hoped he’d be, and of course, he’ll have a lot to prove after his suspension in his first full season, but it isn’t completely insane to think he might experience a resurgence.

Josh Bell had a breakout season for the Bucs in his rookie campaign, perhaps positioning himself to be the next face of the franchise. Bell registered a 1.4 WAR last year and 113 wRC+, a .338 wOBA, and an OPS of .800. He hit for significantly more power than was expected of him, blasting 26 cannonballs, which was 12 higher than his 2016 total in AAA Indianapolis, playing nearly every game (159) in 2017. If Bell continued to grow this offseason, it’s entirely possible he’ll repeat in some statistical categories, like home runs wOBA, and OPS, and improve in others, like BABIP (.278), making him a very legitimate threat in the middle of the order.

Joe Musgrove, whom the Pirates acquired from Houston, showed that he may have the stuff for a solid third in the rotation type pitcher. Musgrove appeared in 38 games for Houston last year, starting 10 of them, posting a FIP of 4.38, an ERA- of 113, and an xFIP of 4.03. Those numbers are about in-line for a 5 starter, most likely, but PNC is one of the most “pitcher friendly” parks in baseball. Also, I’m not one to chalk up occurrences to magic, but Ray Searage has worked some serious voodoo in the past, and that could likely be the case here, especially with Musgrove who is by no means a lost cause pitcher to begin with. Additionally, Musgrove throws pretty hard, last year registering his fastball around 93.5 mph, his cutter a tick over 90, and a slider around 92.

Colin Moran will likely see the most time at 3B this season, as David Freese’s production levels just don’t quite reach what they should to warrant starting everyday, especially with a young player like Moran waiting in the wings. Jeff Sullivan wrote an article highlighting Colin Moran’s swing change, and some of the numbers were glaring. During seasons 2013-2016, Moran sat around 50% ground balls, and with the way baseball’s evolved, that’s not really a good thing. But in 2017, that number was strikingly different. Moran hit a ground ball only 34% of the time. With his decrease in ground balls came an increase in home runs. He had a previous high of 10 in AAA with far more at bats than his 18 in 2017 during his AAA campaign.

Lastly, Michael Feliz, another piece from the Astros, comes to Pittsburgh after having posted interesting numbers in 2017. Firstly, Feliz throws hard, reaching the high 90s with his fastball, averaging nearly 97 mph in 2017. He posted a FIP of 3.78, an xFIP of 3.58, and an xFIP- of 81. Feliz will likely be a strong complement to Felipe Rivero out of the pen.

Help will have to also come from players being called up from AAA for the first time (Meadows, who suffered setbacks last year on the DL, Keller, perhaps Bryan Reynolds, among others), but if some things break the right way, the Pirates may experience more success than originally anticipated. Don’t misunderstand me, I’m not saying the Pirates will be in contention for the NL Central this year, or even a Wild Card spot. I’m saying the potential is there for them to rebound from last year and finish the season above .500 at 82-80, especially if they can capitalize on a flailing Reds team, as well as in games against the largely inept NL East.

But barring a major outbreak by a lot of guys, the Pirates will likely be an average to below average team (somewhere along the lines of 75-87 to 79-83). It wouldn’t surprise me for them to finish better than last year, if not just for the sheer manpower versus last year, and hopefully not having to deal with such setbacks.

But when is it most likely the Pirates will be able to actually contend? The front office will say 2019 at the earliest, and there’s some credence to that.

Mitch Keller is projected to make his debut sometime this season, ranked 16th overall, and is the Pirates best prospect. Austin Meadows, ranked 45th, is expected to make his debut this season, as well. The last of the Pirates top 100 prospects, Shane Baz (67th) isn’t expected to make his debut until 2021, and hopefully, the Pirates are competing before then.

From the Pirates own top 30 list, several potentially important players are expected to debut in 2018, including Nick Kingham and Bryan Reynolds (the latter of whom came over in the McCutchen trade). 2019 will see a string of more players, and if they make an impact right away could yield a winning ball club, like Ke’Bryan Hayes and Cole Tucker. If you combine their potential productivity with the progression of guys that are already there and guys that are debuting this season, the Pirates could be returning to a similar place as their winning years, 2013-2015, in as little as two seasons.

Although it should be noted, the Pirates most successful years weren’t necessarily fueled by prospects. When Gerrit Cole debuted in 2013, one of the Pirates most successful seasons, he was really the only major prospect getting to play at that time, while the majority of the roster was comprised of veteran holdovers from the season before.

What that could potentially mean is that perhaps 2019 isn’t necessarily a possibility in terms of being competitive. Perhaps a more realistic timetable is 2021. By that time, Starling Marte will be in the final year of his contract at age 32, and likely his last year as a Pirate, and assuming he’s able to rebound, will be in the latter part of his most productive years. Gregory Polanco, if he’s able to reach his potential, will be in his Age 29 season and possibly at the peak of his ability. Moreover, by 2021, most of the players we’ve discussed will have had time to fully develop, like Josh Bell and Jameson Taillon, plus any guys coming up over the next two seasons.

All of these guys won’t pan out, but there’s a pretty good chance some of them will, and that’s the best an organization and fan base can hope for (except for the Astros who have seemed to hit the jackpot in every regard). The team will also need to be supplemented by veterans, and not just the cheap ones. For the Pirates to make a run and win between 2019-2023, the front office is going to need to spend more money than they were willing with Gerrit Cole and Andrew McCutchen.

There are a lot of hypotheticals in the Pirates future, but there truly is a lot to be excited about. I know it’s a difficult thing to request of Pirates fans, but this transition will require patience. That, and the front office attempting to provide more from the outside in free agency or big trades, and probably both. There is a lot the front office has done right in the past; unfortunately, though, there is also a lot its done wrong. We’ve seen the front office make some truly good trades, having the insight to know when guys have passed their peak and flipped them at the right time (like the acquisition of Rivero). But there will have to come a time where they send prospect packages for big-time players; if not, the Pirates may not see a real contender until ownership changes.


Joe Biagini’s xwOBA and RISP Spread

Would you believe me if I told you that Joe Biagini did a better job minimizing contact quality last year than Marcus Stroman?  I didn’t believe it at first, but it turns out he had slightly better contact quality control on the whole. See the arranged summary table below: (min 500 pitches, showing data for batted balls)

player_name xwOBA
1 Danny Barnes 0.306589888
2 Aaron Loup 0.307355422
3 Roberto Osuna 0.326513158
4 Joe Biagini 0.334128342
5 Ryan Tepera 0.33518593
6 J.A. Happ 0.339169336
7 Dominic Leone 0.340634286
8 Marco Estrada 0.341392086
9 Marcus Stroman 0.355793677
10 Joe Smith 0.368621951
11 Francisco Liriano 0.371231373
12 Aaron Sanchez 0.37646281
13 Mike Bolsinger 0.378370079

xwOBA in this case is a statcast proxy for contact quality, based on launch speed and angle. I’d go on a limb to say it essentially imputes an expected number of wOBA based on the quality of how the hitter squared up the ball, irrespective of what happens after that. Last year, the average xwOBA for a Blue Jays pitcher included in this sample above was 0.344.

Interesting. Biagini’s contact quality was fourth best on the team, but his ERA was third highest among the group. The two higher ERAs were Liariano and Bolsinger (also 11th and 13th highest expected wOBA). This is an example of how situational pitching can ruin you if you let it. Let’s factor in runners in scoring position and compare the same analysis. Below is the same table, except now showing one for runner in scoring position (RISP), 0 for not:

player_name RISP xwOBA
1 Joe Biagini 0 0.299694737
2 Aaron Loup 0 0.302101695
3 Roberto Osuna 0 0.309736842
4 Ryan Tepera 0 0.325156463
5 Danny Barnes 0 0.339150794
6 J.A. Happ 0 0.350223214
7 Marco Estrada 0 0.350911628
8 Marcus Stroman 0 0.352419087
9 Francisco Liriano 0 0.363611702
10 Dominic Leone 0 0.364512605
11 Aaron Sanchez 0 0.369082353
12 Mike Bolsinger 0 0.372388235
13 Joe Smith 0 0.395754386
14 Danny Barnes 1 0.227692308
15 Dominic Leone 1 0.289892857
16 J.A. Happ 1 0.30239604
17 Joe Smith 1 0.30676
18 Marco Estrada 1 0.308904762
19 Aaron Loup 1 0.320270833
20 Ryan Tepera 1 0.363538462
21 Marcus Stroman 1 0.369462185
22 Roberto Osuna 1 0.376842105
23 Mike Bolsinger 1 0.39047619
24 Francisco Liriano 1 0.39261194
25 Aaron Sanchez 1 0.393888889
26 Joe Biagini 1 0.444393258

Look at the two Biaginis! At the very top and very bottom. Without runners in scoring position, Biagini was the best pitcher on the roster in terms of limiting contact quality. Put a guy in scoring position, and he starts getting lit up. Here’s that same table, but sorted by the differences.

player_name RISP.x xwOBA.x RISP.y xwOBA.y diff
1 Danny Barnes 0 0.339150794 1 0.227692308 -0.111458486
2 Joe Smith 0 0.395754386 1 0.30676 -0.088994386
3 Dominic Leone 0 0.364512605 1 0.289892857 -0.074619748
4 J.A. Happ 0 0.350223214 1 0.30239604 -0.047827175
5 Marco Estrada 0 0.350911628 1 0.308904762 -0.042006866
6 Marcus Stroman 0 0.352419087 1 0.369462185 0.017043098
7 Mike Bolsinger 0 0.372388235 1 0.39047619 0.018087955
8 Aaron Loup 0 0.302101695 1 0.320270833 0.018169138
9 Aaron Sanchez 0 0.369082353 1 0.393888889 0.024806536
10 Francisco Liriano 0 0.363611702 1 0.39261194 0.029000238
11 Ryan Tepera 0 0.325156463 1 0.363538462 0.038381999
12 Roberto Osuna 0 0.309736842 1 0.376842105 0.067105263
13 Joe Biagini 0 0.299694737 1 0.444393258 0.144698522

Biagini was not the same person on the mound when threatened with a runner past first. To offer some perspective, that very difference is larger than that between Mike Trout (1st @ 0.437) and Kevin Pillar (130th @ 0.302). You must wonder what some possible explanations of this could be .Sign stealing? The yips? Pitch selection? Let’s look at the 2016 differences table and see if this affected him at all. (min 500 pitches)

player_name RISP.x xwOBA.x RISP.y xwOBA.y diff
1 Jason Grilli 0 0.429316 1 0.229538 -0.19978
2 Drew Storen 0 0.475368 1 0.320645 -0.15472
3 Joe Biagini 0 0.345207 1 0.270319 -0.07489
4 R.A. Dickey 0 0.39697 1 0.337583 -0.05939
5 Aaron Sanchez 0 0.366077 1 0.328248 -0.03783
6 Roberto Osuna 0 0.386113 1 0.350638 -0.03547
7 Brett Cecil 0 0.411931 1 0.379067 -0.03286
8 Marcus Stroman 0 0.362472 1 0.334 -0.02847
9 Francisco Liriano 0 0.351901 1 0.369333 0.017432
10 J.A. Happ 0 0.363058 1 0.386705 0.023646
11 Marco Estrada 0 0.335267 1 0.359102 0.023835
12 Jesse Chavez 0 0.340885 1 0.48161 0.140725

Runners on second and or third in 2016, Biagini pitched to better contact quality.  He was coming out of the bullpen, but it still leaves our question of consistency from last year unresolved. It wasn’t Biagini’s pitch selection either. Based on the table below, his distribution of pitches with and without RISP last year was more or less the same. It’s not as though he wasn’t throwing the breaking ball with RISP.

pitch_type RISP n Frequency
1 CH 0 207 0.146393
2 CU 0 278 0.196605
3 FC 0 145 0.102546
4 FF 0 784 0.554455
5 CH 1 80 0.154739
6 CU 1 138 0.266925
7 FC 1 39 0.075435
8 FF 1 260 0.502901

I don’t know what the real explanation for this is. It likely could just be chance, but I’d like to think there’s a more probable explanation for it. I say the yips! Pitchers aren’t robots, some pitchers must get phased more than others by the pressure of potential runs scoring. But last year on the whole Toronto pitching allowed very similar contact quality regardless of having runners in scoring position.

RISP xwOBA
1 0 0.343178
2 1 0.345718

P.S. first time posting! let me know what you think. had a lot of fun doing this.


A Steady Slog Toward Three Outcomes Baseball

During this quiet winter of baseball, I’ve entertained myself with a mild obsession with the three true outcomes (not outfits).  Dave Cameron took note of the three outcomes trend in early April 2017, only one week into the new season.

 “…while samples are still tiny for players and teams, things tend to stabilize pretty quickly at the league level. And, not surprisingly, the first week of the season was filled with the two things MLB games are becoming known for; strikeouts and home runs.”

Cameron goes on to predict a record year for the three true outcomes in 2017.  He was right.

A steady slog towards three outcomes baseball

Figure 1 is an update of Bill Petti’s analysis back in 2012.  It looks at the average rate of the three outcomes by player for each season since 1913.  The top blue line shows the proportion of plate appearances that have resulted in either a home run, strikeout or walk across seasons.  I got here pretty easily: Like Bill, for each player, I added their home runs, strikeouts and walks in a season and divided that by the number of plate appearances.  That provides the proportion of three outcomes plate appearances for each player.  Unlike Bill, I used at least 170 plate appearances in a season as my cut off (rather than 500).  Then, for each season, I found the average proportion of three outcomes plate appearances for eligible players.  I followed this procedure for home runs, strikeouts and walks separately.

The trend of the blue line is clear: players’ average rates of three outcomes have increased starting around 1920, dropping off a bit in the 70s, and continuing on through 2017.  There has been a spike in recent years, and the 2017 average rate of 33% three outcomes is clearly the highest since 1913.

It is interesting to look at each outcome separately as well.  The tremendous growth in strikeout rates is clearly a big part of this story.  Average walk rates have consistently hovered around 8 or 9 % of plate appearances after peaking just over 10% in 1948.  Home run rates are increasing, but home runs are still rare compared to the other outcomes.  Through the 1940s average home run rates per player averaged around 1% of plate appearances.  They jumped to around 2% in the 1950s, and stayed pretty consistent until the mid-1990s.  Since then they have been increasing and peaked in 2017 with an average of 3% of plate appearances.

What does this trend towards three outcomes mean for the game?  Perhaps Cameron subtly showed his feelings about it when he titled his essay, “The League’s Continuing March Towards Three Outcomes Baseball.”  A march; a steady march.  Figure 1 suggests an uphill march.  Cameron could have called it the race towards three outcomes.  Or the growing excitement of three outcomes baseball.  Even the uphill battle of three outcomes baseball sounds more engaging than a march.  Is three outcomes baseball more of a slog than it is an exciting new dynamic in the game?


The Politics of Being a Baseball Fan

Sound the alarms folks, here comes yet another take by another internet oaf centereded around the “Worst Offseason of All Time”, the 2017-2018 offseason.  Please don’t run away just yet though! This isn’t going to be an article about how front offices are colluding, or how teams are getting smarter, or how players are greedy and want too much money. What I want to try to do here is attempt to show how an individual’s politics help shape the way they perceive the game of baseball and how it affects the way they root for the team or players they love. With this in mind, I want to stress this: I am not attempting to project my personal politics on any of you, the readers. I am simply going to use my political ideology as an explanation as to why I feel the way I do about this wonderful sport, and why I think my personal views have a bit of conflict of interest in the way the game is played today.

A few weeks ago, my favorite hometown team, the Minnesota Twins, signed reliever Addison Reed to a two year, 17 million dollar deal, which came as a bit of surprise. Rumor was that Reed was seeking a 3-4 year deal for the extra security, but ended up taking a spot in the Twin Cities to be closer to his wife’s hometown. I was thrilled when I learned this. My team, the Twins, got a great deal on a quality reliever. We basically paid market value for a reliever who has a good track record, except we didn’t have to worry about him regressing near the back of a long deal. In fact, we got Reed for less than the Phillies gave Tommy Hunter, and Reed is a more proven and arguably better reliever than him! Awesome! Okay…..but hold on a minute. Let’s back this up for a second and analyze this from a different viewpoint, a political viewpoint. For me, this deal and my reaction to it has a lot of conflicting views relative to my political beliefs. I consider myself a leftist, which, for the purpose of this article, means I am very pro worker’s rights and pro re-distribution of wealth downwards. Again, my views do not reflect yours, the players, or anyone’s, nor do I think any individual needs to or should have the same views as me. Just another reminder! Thanks.

The Twins are owned by the Pohlads, a triad of large adult sons who inherited their fortune from their now deceased father, Carl. Carl Pohlad made his living through banking and investing and bought the Twins in 1984 for $36 million. His three sons now own the team together, which is valued at roughly one billion dollars. Altogether, the Pohlad sons are worth $3.8 billion. I want to make something very clear here: all politics aside, you, or anyone else on this planet, does not need 3.8 billion dollars. Hell, you don’t even need one billion dollars. The main question I have to ask myself is this: why do I get excited when I find out that my team, owned by a group of people worth nearly four billion dollars, gets a good deal on a player because they gave him .4% of their net worth ($17 million divided by $3.8 billion) instead of something like .6% of their net worth ($24 million, or eight million per year at three years divided by 3.8 billion dollars). Addison Reed and players like him are the reason I go to Target Field and watch Twins games in the first place. If the Twins don’t sign Addison Reed, their bullpen becomes actively worse, the team performs badly, and they become less entertaining to watch as a group. Watching your team win games is fun, in fact, that’s the reason we’re sports fans in the first place! The purely tribal aspect of identifying with a group, watching them perform well, and being able to bond with other people as a result is what makes sports great. The only reason teams win games is because of the players they have. They are the entertainers, the figures we bond with, and the reason we go to the stadium in the first place. Again, why am I happy that the billionaire owners saved a couple million bucks?

One of the consequences of the rise of sabermetrics is now, we as a community and fans, have the ability to microscopically analyze and value players.

Moneyball was born from the idea that low budget teams could get good players and pay them less because of their skill set, like their ability to get on base, or OBP, a stat which a lot of teams didn’t have a good grasp on how to value at the time. These organizations were applauded and their techniques were copied, and as a result, every team in the MLB now embraces sabermetrics and sucking every ounce of capital value they can out of every deal they make. As this offseason has shown, teams are now becoming weary of handing out big contracts to older free agents. Whether or not collusion is happening is an entirely different story, and beyond the scope of this article. But right now, when the Twins sign someone Addison Reed to a surprising contract, or the Astros give up much less in value that what Gerrit Cole is perceived to be worth, or the Cubs refuse to give Jake Arrieta, the 2016 Cy Young award winner, a six-year contact, we have the opportunity to log on and shower praise upon these organizations for their tactical approach to the game, and their ability to embrace analytics. Then, when players like Albert Pujols sign gigantic deals and start to decline two-thirds of the way through these massive contracts, we log on yet again to explain why the Pujols deal is a cancer on the Angels and how terrible of a decision Jerry Dipoto made by signing him.

I’ll use my hometown Twins as another example here. In 2010, Joe Mauer signed an eight-year, $184-million dollar extension. In my opinion, it was a great story. Mauer, fresh of his MVP campaign of 2009, signed an extension which, at the time was a lot of money. He decided to stay and play catcher for his hometown team, not to mention the only team he has known his whole life. Since then, Mauer has suffered a variety of injuries, most prominently a concussion, and has changed his position to first base. Fans were not happy. Mauer was put on blast for being too injury prone, local sports writers like Jim “Hot Take” Souhan wrote pieces calling Mauer “coddled“. Mauer’s production suffered, and he quickly became much less valuable than he once was. The contract looked horrible. A lot of people were asking why the Twins should be giving so much money to a player who doesn’t play and whose value continues to decline. Again, let’s take a step back from this for a second. For some ungodly reason, just in sports, it is OK to put someone on blast for being hurt a lot.  Mauer had a line of work where balls came flying at the general direction of his head at 100 mph. Injuries happen, and when you catch, traumatic brain injuries like concussions will happen, and when you suffer a traumatic brain injury, there will be consequences. Because of the concussion, Mauer suffered blurred vision and was unable to track pitches for nearly two years after it had happened. If you can’t see the ball, you can’t hit it, and you can’t do your job. If you were (or are) a construction worker, and you got hit in the head with a falling cinder block, and you were wearing all your protective gear but still suffered a serious concussion, your employer, fellow employees, friends, and family would never call you soft, or say things like “well he gets hurt, so he deserves to get paid less now”. The fact that this exception exists for athletes purely because they make more money than other workers is crazy to me. They’re still human beings, and they still need to live healthy lives. Mauer has remained a villain for some Twins fans to this day, simply for signing a contract where he was rewarded for doing well. He and Albert Pujols are claimed as examples as to why long-term, expensive deals are bad.

Let’s keep these expensive deals in mind. Baseball is a very different sport because of the fact that there are no salary caps, either for teams total payroll, or for players and their individual contracts. Sure, there is a luxury tax that is imposed on teams that spend over a certain amount of money, but that hardly constitutes any sort of hard cap on spending. Because of this, baseball has a unique attribute where players can get paid as much as they possibly can, yet the market still sets a value for each win a player brings in. As of right now, one win is usually worth around eight million, because, well, that’s what was decided. When teams sign players for under market value, they are applauded, and they are ridiculed when they do the opposite. But why? Why aren’t we happy when our entertainment (the players) make the most money they can? On top of this, prospects and minor league players make below poverty wages, and are often forced to take other jobs during the offseason to provide for their families. Like I’ve said before, they’re the reason we come to the ballpark. They make the game fun to watch. Now you might be thinking, “Yeah but Will, what about payroll? These teams don’t have infinite resources and they’ll have to pay the luxury tax and get penalized for spending money!” My response to this? Who the hell cares. What’s stopping the Twins from offering Yu Darvish a 5-year, $200 million dollar deal? Obviously, this is a bit outlandish, but the idea that long, expensive contracts are out of teams’ price ranges simply isn’t true. Doing some math again, a $200-million dollar deal would be 5% of the Pohlads’ net worth. Darvish would be getting paid for providing entertainment to the masses, and the Pohlads would see an increase in attendance and participation at Target Field for bringing in exciting talent.  Even for a team like Brewers or Rays, this deal is feasible based soley on the income of the owners.

Another question you might be asking is why I think the Pohlads owe me entertainment, a random person who just happens to like baseball. Why should they have to use their own money to entertain me?  Here’s the thing: they do owe me, because I helped paid for Target Field. In fact, so did the entirety of Hennepin County in the state of Minnesota. Hennepin County taxpayers paid for 65% of Target Field, which turns out to be 350 million dollars. The Minnesota Twins organization paid for $150 million. Again, I had money taken out of my pocket for a private organization to build a stadium where they then get to attempt to give the shaft to their employees by paying them as little as possible to “find value.” This same scenario comes up across the league, with an egregious example being the latest sale of the Miami Marlins by their former owner, Jeffery Loria. Marlins fans paid for 80% of Marlins Park (which was financed through Wall Street loans, which now the county is stuck with) and got absolutely nothing in return; in fact, Loria sold the team and pocketed money taken from the citizens of Miami-Dade County. When I go to the stadium that I helped pay for, I want to see an entertaining team, and I want to see my fellow workers rewarded for their talent and efforts.

The fact that owners have been able to screw over players for so long while hoarding their money is simply unacceptable. It’s time for the MLBPA to take a step back and consider the possibility of a strike. The current free agent system hurts players by not allowing them to market their talents during the peak of their careers, thus leading to teams being wary of handing out longer contracts to older players. “Small-market teams” actively treat players like currency, soaking up the years of their prime by paying them nothing, then forcefully removing them by trading to another team for promising youth, therefore starting the cycle again. The luxury tax imposed on teams discourages paying players what they’re actually worth. The way the current CBA is constructed hurts players in a way like no other league, where now, players make just a little over 40% of all revenue. It’s a month until spring training, and they 2016 Cy Young award winner does not have a team yet. That is astounding. I’m not saying it’s time to start giving out $100-million dollar a year contracts to say, I don’t know, Cliff Pennington, but it’s time to take a step back and re-evaluate why we love baseball.

We should be celebrating the success of our fellow workers, not dragging them down for being hurt or signing big contracts. Sabermetrics may be a very neat tool for analysis, but we shouldn’t use it to try to degrade the value of the people that make this sport great. We can still use sabermetrics and advanced data to help players get better by improving a batter’s swing mechanics, optimizing defensive shifts, or creating the best pitch sequencing for a pitcher to follow, while still keeping in mind that players are the reason we love baseball.