Archive for Sabermetrics

Using the Toxicological Prioritization Index To Visualize Baseball

Major League Baseball is awash in advanced statistics that more reliably describe key aspects of players’ offensive and defensive performance. It has been reported that through the use of Statcast, the MLB Advanced Media group can supply teams with 70 fields x 1.5 billion rows of data per season [i]. Yes, billion with a b. This flood of information has supercharged MLB teams’ and the sabermetric community’s development of ever-more useful statistics for describing player performance.

However, this amount of data brings significant challenges. Perhaps chief among them is that while certain individuals may be comfortable with reams of tables and ever-increasing numbers of descriptive statistics, many others prefer or require analyses and visualization tools that convert disparate metrics into informative and readily interpretable graphics.

MLB’s situation has certain similarities to the discipline of safety toxicology, where the use of high-information content assays for characterizing chemicals’ toxicological profiles has exploded [ii]. Drawing conclusions from multiple biomarkers and test systems is challenging, as it requires synthesis of large amounts of dissimilar data sets. One tool that toxicologists have found useful is the Toxicological Prioritization Index, or ToxPi for short [iii]. ToxPi is an analytical software package that was developed to combine multiple sources of evidence by transforming data into integrated, visual profiles. Read the rest of this entry »


Introducing pWAR: A Predictive Wins Measurement for Pitchers

When WAR was first introduced, it attempted to answer a baseball question that has existed as long as teams have played professionally: how much can one player contribute to a team’s record? It is an ongoing debate to this day, but WAR is widely recognized as an excellent measure of overall performance. WAR numbers for major league players are regularly cited and recognized by both Major League Baseball and the Elias Sports Bureau. However, there is another question behind WAR, also long predating the existence of the statistic, and it’s a question that has yet to be answered by it. When a front office is deciding whether or not (or how aggressively) to pursue a player, they’re ultimately searching for the answer to one question — how many more games will we win if we get this guy?

Enter pWAR.

Read the rest of this entry »


Studying Release Point Standard Deviation From Center

A few summers ago, Walker Buehler and the Los Angeles Dodgers came to Baltimore at the very end of the season. That night my buddy and I couldn’t figure out why the Dodgers, and the overwhelming mass of their fans in attendance, were so pumped about winning a single game in Baltimore. Once we saw staffers in ties and headsets running out with the “Division Champions” t-shirts, we realized what was going on.

Needless to say, Buehler was excellent, going 7 innings with 11 Ks and — because it was the 2019 Orioles — gave up no runs on four hits. During the game, while surrounded by very excited Dodgers fans, I mentioned that Buehler’s delivery seemed so efficient that his motion looked exactly the same every time he threw the ball. If you’ve ever worked on physical mechanics of any kind, be it baseball swings, golf swings, freestyle swim stroke, running stride, or maybe just proper form sitting at a desk to avoid that “work from home/pandemic backache,” you know how hard it can be to exactly replicate a motion over and over again. Buehler amazed us in his ability to do just that. We know that repetition in delivery mechanics leads to success in various forms, so with that in mind, the point of this analysis is to look at release point consistency and how that correlates with resulting pitching metrics. Read the rest of this entry »


An Extra Inning Runner Study

The 2020 season brought unprecedented rule changes, one of the most puzzling among them being the “extra inning runner.” Ostensibly in an effort to reduce the spread of COVID-19 and speed up play, commissioner Rob Manfred decreed that once a game progresses past the ninth inning, a runner would be placed at second base to begin the frame.

Manfred’s blatantly obvious motives turned baseball fans — a demographic notorious for their acceptance of changes to the national pastime — against it. If there is any defense to be made for the addition of the extraneous runner, it’s that shorter games helped save pitchers’ arms in what’s already been an utterly brutal season for pitcher injuries.

This seismic rule change also created a correspondingly large shift in how teams strategized after a game surpassed nine innings. Teams, even the more sabermetrically inclined among them, began to employ traditional tactics. In order to determine how clubs played with a free runner, I charted every extra inning of the 2020 season. Read the rest of this entry »


Introducing Probabilistic Pitch Scores and xWhiff Metrics

With the advent of the Statcast era, a lot of research has been done in attempts to measure the effectiveness of a particular pitch based on its flight characteristics. As has been noted in the past, quantifying a pitcher’s stuff and command is no easy task. However, over the past few months I have worked to build my own models in an attempt to evaluate the “filth” of any given pitch, taking more of a probability-based approach. I introduce to you my Probabilistic Pitch Scores and xWhiff metrics.

When evaluating the quality of a particular pitch, I focused my interest on three different binary outcome variables: whether or not the batter swung at a pitch, whether or not the batter whiffed on a pitch, and whether or not a pitch was thrown for a strike. Thus, my goal was to train three different types of classification models corresponding to each of these variables: a swing, a miss, and a called strike. For the actual outcomes of these models, I was less interested in the model’s decision and more interested in the predicted probability. For example, if a batter swings on a pitch with given flight characteristics, what is the probability that he will whiff? These probabilities were utilized as the basis of my metrics.

Read the rest of this entry »


Evaluating Lance Lynn’s Unexpected 2019

If you scroll down the pitching leaders page at FanGraphs today, most of the top names are not so surprising, but one unexpected player near the top is Lance Lynn. Currently, Lynn is second overall with 3.2 WAR, leading the American League as Craig Edwards noted yesterday. Historically, Lynn has been a consistent pitcher, a 2-3 WAR guy who can eat innings, but he’s hardly the type of character you would expect to break out. He’s currently in his age-32 season, putting him on the wrong side of the starting pitcher aging curve, and he is post Tommy John surgery, which he underwent at the end of 2015.

If you look longer at Lynn’s row on the pitching leaderboard, something else might catch your eye – he’s managed this while having a 4.16 ERA. This is symptomatic of fWAR being calculated using his FIP, which is considerably better at 3.00, meaning the Rangers defense is costing him more than a run per nine innings. This is further highlighted in his BABIP, suffering from a career-worst at .345, where league average this year is .293. In fact, his FIP is a full point lower than his own career average, indicating that there has been some significant, true improvement this year. To evaluate this season against his prior production, I took a look at Lynn’s IP per WAR:
Already this plot is a bit surprising, as the expectation for such a distribution would be to follow a typical aging curve, but excluding the outlier, Lynn seems to be continuing to improve. If you do drop off the outlier and remove his missed year for Tommy John surgery, a linear regression does quite well in describing his improvement year-to-year:

Read the rest of this entry »


The White Sox Might Have Found A No. 2 Starter For Nothing

The White Sox’ rotation this year can charitably be described as “rocky”. They began the year projected to have the worst rotation in the majors by WAR and thus far they’ve ranked 28th, between the Jeter-decimated Marlins and the aging Rangers. That’s not terribly surprising considering they’ve given out the most walks by far at 4.61 BB/9; besides them, only the Cubs’ rotation is over 4 at 4.21. The White Sox’ rotation also has the lowest strikeout rate in the majors this year at 6.20 K/9. The only thing preventing them from having the worst FIP of any team’s starters is middle-of-pack home run prevention, but their home field is a launching pad come summer.

As I stated before, they weren’t expected to have a good roster of starters, but being a rebuilding club filled with young and therefore volatile players, there was at least theoretically the chance that they made the jump to competence and beyond earlier than expected and surprise people like the Braves have this year. That obviously has not happened, but back in February, when everything is possible, Rian Watt took a look at the surprisingly large error bars in the projections for Chicago’s starters. The backstories of their projected starters agreed with what those large error bars said about a wide range of outcomes.

Lucas Giolito, a former No. 1 global prospect traded to the Sox last year from the Nationals, looked very sharp in spring training, having apparently rediscovered the massive 12-6 curve and some of the fastball velocity that had made him such a vaunted prospect and pairing it with newly found command and an improving, fading changeup. Reynaldo Lopez, fellow right-hander and former top-100 prospect who came over from the Nationals, had disappointing strikeout numbers despite big stuff, between a fastball that averaged 95 MPH, above-average curve and average slider and change– perhaps an improvement in sequencing or location would tap into the strikeouts he clearly had the talent to produce. Carson Fulmer, former No. 7; overall draft pick, has a lively arsenal in which everything moves in unpredictable ways that hitters dislike, albeit unpredictable to him too; perhaps he could make a mechanical adjustment and find the control and therefore success he had in college. Carlos Rodon, former No. 3 overall pick, was out with minor shoulder surgery (bursitis) until June but can flash complete dominance with his overpowering fastball/slider combo from the left side. Everyone knows about the world-class talent of Michael Kopech, who is currently stuck vaporizing poor saps in Triple-A (12.13 K/9!) until he limits his walks to acceptable levels. Bringing up the rear were Miguel Gonzalez, Hector Santiago, and James Shields, three veterans for whom the reasonable hopes were “eat innings better than cannon fodder”.

This article is not about any of the eight pitchers above, or their struggles with control (Giolito, Fulmer), relative successes (Shields), or weirdness (Lopez, who is having some success despite still not getting many strikeouts). Instead, it’s… Dylan Covey?

Yes, the Dylan Covey who ran both an ERA and FIP over seven last year in seventy innings as a rookie, good for -1.1 WAR. Pitching like, well, cannon fodder is not exactly an auspicious start to one’s major league career. Brief background of Covey: He was considered an elite high school arm, the riskiest category of draft picks, thought of high enough to be selected fourteenth overall in 2010 by Milwaukee– one pick after the White Sox selected a certain stick-figure lefty at a little-known Florida college whom Covey out-dueled earlier this June. During his pre-signing medicals, though, Covey was diagnosed with Type 1 diabetes, and he decided not to sign in order to learn how to deal with the disease before the stresses of pro ball. He chose to attend San Diego State and three years later was selected in the fourth round by Oakland.

After another three years of middling results hampered by injuries, Oakland left him off the 40-man roster despite an encouraging AFL and Chicago pounced in the Rule V draft. It was a bit of an unusual choice in that Covey was quite raw, almost akin to the Padres’ Rule V hijacking of prospects straight from A-ball, because Covey had thrown all of six starts at his highest level (Double-A). After hearing that, it probably makes a lot more sense why A) he got rocked the way he did last year and B) there was and is still hope for him. Although he was 25, the rawness showed, but the White Sox were entirely alright with absorbing the losses, as they would only help them pick higher in the 2018 Draft anyways (Nick Madrigal says hello).

Ironically, when he was drafted fourteenth overall in 2010, he was considered as safe as any high school arm could possibly be, on the basis of a low to mid-nineties sinker, above-average curve, ideal workhorse frame (currently listed at 6-2/195), and remarkably clean mechanics for his age. Ground balls, control, good health, and a reasonable number of strikeouts sounds like the perfect profile of a high-floor starter prospect. Of course, it didn’t work out that way in 2010, nor did he really come around while with Oakland. Thus, one might reasonably conclude, this article is being written because he appears to be finally delivering on his talent in his second year with the White Sox.

And so he has. Of course, the disclaimer of “small-sample size” applies here, as Covey has seven starts, and 35.1 innings total in those starts this year, but still, those 35.1 innings have been a complete reversal from his performance in 2017. He’s gotten a shot only because two rotation spots needed filling before Kopech was ready (i.e. past his Super Two deadline). First, Gonzalez went down with a shoulder injury in mid-April; that spot was filled by Santiago sliding from the bullpen into the rotation as he was signed to do. By mid-May, Fulmer’s wildness became too much to bear, and he was sent down to Triple-A to work on that, and Covey was called up to Chicago to get his second shot in the bigs. He’s taken that chance and run with it.

Thus far this year, Covey is the proud owner of a 2.29 ERA, 2.17 FIP, 3.31 xFIP, and 3.48 SIERA, good for a 1.3 fWAR (!) that currently leads all White Sox pitchers. No, I don’t think Covey is suddenly the third-best pitcher in baseball, and yes, that SIERA is a over a run higher than the FIP, and that’s because Covey has yet to give up a home run. That SIERA is still really good, though: among starters this year with at least 30 IP, the highest bar Covey clears, that would be good for 29th, slotting between Blake Snell and Alex Wood. Other pitcher evaluation metrics mostly agree: Baseball Savant’s xwOBA-against judges him at .293, 21st-best among starters. Baseball Prospectus’ DRA, how ever, does not like what he’s done, as his DRA this year is 5.38. There have been 4 unearned runs against him this year, so BBRef’s RA/9 dings him for that but still evaluates him well at 3.31 (Note: two of those unearned runs scored as inherited runners off a reliever). I cannot say why DRA hates him, but when a black-box statistic is in complete disagreement with literally every other ERA estimator, I have to ignore it.

Of course, the instinct of any saber-savvy fan is dismiss this as a fluke, small sample, etc. Anything can happen in small samples– once upon a time, Philip Humber threw a perfect game! That’s what I said, so when I trawled through Covey’s peripherals just to make sure this was a fluke, I kept expecting to find something or another that screamed regression. If there is a statistical red flag for harsh regression beyond his steadfast refusal to give up a home run, it remains as elusive to me as the average Bigfoot. His K% is a bit above average at 22.2% (starters’ average this year is 21.7%), his walk rate is a little better than average at 7.4% (avg is 8.2%), for a just above average K-BB% of 14.8% (avg of 13.6%). His LOB% is a bit low at 71.1% (avg 73.0%), and his BABIP-against is maybe a touch unlucky at .333 (avg .288). His WHIP is a smidge worse than average at 1.30 (avg 1.28). There is, in sum, absolutely nothing out of the ordinary there; by those measures he looks like a league average or slightly above starter. Which isn’t bad, as it suggests that his floor is that of a perfectly cromulent major-league starter, which is already a great outcome for a Rule V pick and vast improvement over last year.

Where Covey starts getting real interesting is when you start looking at the ways in which he might be suppressing home runs. I already told you that Covey’s primary pitch as a high schooler was a heavy sinker, and he’s gone back to his roots with it this year. In 2017, he threw fastballs about 60% of the time, splitting usage about evenly between his sinker and a four-seam. This year, he’s throwing even more fastballs, up to 68.3%, but he’s ditched the four-seam almost entirely; those are nearly exclusively sinkers he’s thrown. The point of a sinker is to get ground balls, and boy oh boy has his sinker done so.

Put simply, Covey’s been a ground ball machine. Among all starters with at least 30 IP this year, he’s tops in ground ball rate at 61.0%. The sinker has done most of that work; when batters put it in play, they beat it into the ground 68.1% of the time, 8th among starters. As one would expect, he’s also not allowed many fly balls; his FB% is a tiny 23.5%, seventh-lowest among his peers. Also unsurprisingly, he’s got the fourth-highest GB/FB, at 2.56, of starters. If his FIP is low because he’s not allowed a home run, well, it’s at least in part because it’s rather difficult to get a home run out of a grounder. When examined more closely, the metrics on his sinker back up its excellent results.

First of all, he’s added some velocity to it. This year his sinker is averaging 94.4 MPH, compared to last year’s 92.9 MPH. The addition of 1.5 to 2 MPH this year versus last is found in all his other pitches, too. Throwing harder across the board: always a good sign! It’s more than just respectably hard. Although Statcast classifies it as a 2-seamer, the pitch has the 29th-lowest average spin rate among either sinkers or 2-seamers this year.

While that and the velocity of the pitch (26th-fastest in the same mix of starters’ 2-seams & sinkers) are both good-not-great numbers, the combination of the two is actually pretty unusual– fastball velocity and spin rate usually have a positive correlation. Less spin is good in this case; the spin is mostly backspin, and the less backspin on a sinker, the more it sinks and (probably) the better it is. Of the 25 starters that throw their 2-seamers/sinkers harder than Covey does, only two– Erick Fedde and Fernando Romero, both rookies with small sample sizes themselves, also have lower spin rates. Stephen Strasburg and Sal Romano also throw harder and barely missed the spin rate cutoff. For comparison, the 2018 preview on Fedde’s FG page describes his sinker as “potentially premium”, Romano and Romero both have their fastballs graded by the FG prospect experts as 70s (plus-plus), and Strasburg rarely throws his 2-seamer.

In short, his sinker is elite for the sum of its parts. It’s generated an exactly league-average 6.8% whiff rate, which doesn’t sound special, but when it’s put in play, hitters can’t help but beat it into the ground. Its grounder/ball in play rate is an incredible 68.1%, 4th among starters and 10th among all pitchers this year. As would be expected, hitters haven’t done too well against it, with a xwOBA against of 0.324, checking in at 13th of all starters’ sinkers/2-seamers.

The three guys ahead of him on the starter list– Trevor Cahill, J.A. Happ, and Marcus Stroman— are interesting for comps, too. None strike out a ton of guys– all have career K/9s under eight– and none walk too many either, like Covey. Unsurprisingly, Stroman and Cahill, sinker/slider righties like Covey, are No. 2 and  No. 3 in starter GB% after Covey. Cahill’s having his best year yet in the A’s rotation, having upped his strikeouts to almost 9 K/9, cut his walks to 2 BB/9, and limiting home runs enough that ERA & ERA estimators are all around 3. Stroman, though he’s been hurt and not pitched well this year, has a track record of four years of being a solid No. 2 starter, especially according to SIERA.

Covey’s secondary pitches– slider (15.6% usage), curve (8.2%) and split-finger changeup (8.7%)– are all about average or better. The slider’s whiff rate is 13.5%, not spectacular but solidly above the league-average slider whiff of 9.0%. It’s not been murdered when it gets hit, either; Statcast’s xwOBA against the pitch is a pitiful .209, good for 16th among starters’ sliders. The change is an effective swing-and-miss pitch too, also with an above-average whiff rate at 15.6%. Hitters haven’t hit the change well either, with a xwOBA against of just .220, 16th among starters’ changeups. The curve hasn’t generated many swings-and-misses (just 2 out of 44 thrown, 4.5%) but hasn’t killed him at an xwOBA of .273, about middle of the pack for starters.

Baseball Savant sure doesn’t think that Covey’s just been extremely lucky in home-run suppression, but just to be sure, I went to go see what xStats.org thought of him. It thinks he should have given up 1.5 homers so far. Ignoring for a moment the fact that one cannot in fact hit half a home run, although a ground rule double seems close to it, that works out to a deserved rate of 0.382 HR/9. Which, in case you’re wondering, would still be good for fourth-lowest HR/9 of starters— Covey of course currently has the lowest of all at 0. Not perfect, then, but damn close to it. The other names in the top 10 lowest HR/9 are unsurprisingly for the most part really good to great pitchers: Arrieta, Nola, Severino, Bauer, Chatwood (???), deGrom, Buehler, Cueto, and Carlos Martinez, in ascending (towards lowest) order.

So that’s Dylan Covey in 2018: a pitcher with an excellent bread-and-butter sinker, two very good secondaries, and a passable fourth pitch. He’s not walking many, striking out close to a batter per inning, getting ground balls like they’re going out of fashion, and bucking the home run trend. I’m particularly reminded of Stroman in overall profile, but Covey has the advantages of size, a bit of youth, a home field with dirt instead of turf (grounders come off turf faster, meaning more hits), and a considerably younger and rangier infield behind him. He’s also got Don Cooper and Herm Schnieder on his coaching staff, which makes it less likely that he’ll be derailed by either mechanical or health issues. I for one didn’t see this coming, but the White Sox’ patience has already been rewarded with an unexpected breakout by Matt Davidson, so why couldn’t they have found another post-prospect gem? It’s at least interesting to note that Dallas Keuchel and Jake Arrieta, probably the best examples of guys who became great pitchers out of more or less nowhere after given time to reinvent themselves on rebuilding squads, are both in the top 20 in ground ball rate for starters– the category, of course, wherein Covey currently reigns supreme. I don’t really know what more to say. Small sample size notwithstanding, how about Dylan Covey, No. 2 starter?

Notes on process: with a small sample size of just seven starts at time of writing, the minimum cutoffs I employed to compare Covey to other pitchers were usually the minimum that he himself cleared– 30 IP with his 35.1 IP, 10 PA for his xwOBA against his curveball that has 13 PAs, etc. As he gets more starts, the exact numbers and rankings will of course change; the rankings are there not to be exact but rather to give some context for the raw numbers, most of which are obscure enough that the average reader likely cannot evaluate how “good” it is. Everyone knows a 2.29 ERA & 2.16 FIP are great, but I doubt many readers can instantly discern how good, say, a xwOBA of .220 against a certain pitcher’s changeup is. I also made the decision to evaluate almost exclusively against other starters’ 2018 years, as the baseball is again different this year and relievers are increasingly a different, turbo-powered breed of pitcher that cannot fairly be compared to starters.


Who’s the Best (non-Bonds*) Baseball Family in History?

One of my favorite things about baseball is its deep reverence for history. While the relatively recent advent of sabermetrics is sometimes scorned by “traditionalists,” baseball has always been a data-loving sport. So much so, the man credited with inventing the box score all the way back in 1859 — a full year before Abraham Lincoln was elected President — was given a prestigious spot in the Hall of Fame. Any discussion of “who’s the best?” is always going to be subjective, and that’s part of the fun.  Whether you’re a casual fan, avid Fangraphs reader, or true baseball historian, I think this article will offer some insight (and fun debate) for everyone.

As it happens, the term “WAR” meant something very different then.

Even casual baseball fans have an understanding of batting average, home runs, runs batted in — all statistics that have been around for more than a century — and still have plenty of relevance even in the era of analytics. Some might say, baseball’s respect for tradition runs so deep, that there was (and still is) a great deal of mismanagement and inefficiency in areas like scouting, player utilization, and player valuation. Perhaps one thing that worries traditionalists is that the game is being reduced to a “science” such that we are removing the fun of debating things like “who’s the best?” While I hope even staunch traditionalists understand that on-base percentage is more important than batting average in determining offensive value, allow me to put your mind at ease: we are a long, long, way from being able to predict with any reasonable accuracy/confidence how a player will perform. Suffice it to say, there is still plenty to debate when it comes to comparing players from past and present, and projecting the future. As you read, take part in the polls to cast your vote in the head-to-head “best family” debate. At the end, you can cast your overall vote.

In more than 140 years as the National Pastime, fewer than 20,000 players have ever played in a Major League Baseball game. For some perspective, only about 10% of players who are drafted will ever reach The Show; and even among first-round picks — youngsters so highly sought after that they are made millionaires before they even play a game in the minor leagues — only about two-thirds will make it the majors, and even most of them won’t amount to much. With so few players to ever make the big leagues, with so many barriers to success, it’s amazing to learn just how many had parents or siblings in the majors. Unlike a sport such as basketball where most players are very tall, thus heritability playing an obvious role, Major League Baseball players are mostly normal-sized human beings (the average player is about 6’1 190) with no immediately evident genetic superiority compared to the average Joe.

Pictured: elite professional athlete whose dad also played in the MLB (photo from Men’s Health)

Interestingly, genetics may actually play an even more vital role in success in baseball than in basketball. You have probably heard that hitting a baseball is the hardest thing to do in all of sports, and that’s probably true (Ted Williams said it, who am I to argue?). It’s not enough that pitchers throw the ball as hard as they can with pinpoint control, they also throw the ball as hard as they can with pinpoint control and make it move. 

Good luck! (Source: MLB GIFS)

When it comes to hitting a baseball at the professional level, it requires an elite combination of hand-eye coordination, strength, reaction time, visual acuity, and I assume some sort of animal sacrifice. It turns out, the average MLB player has 20/12 vision. If you’re not sure why that is so insane, consider that the best possible vision a human could have is somewhere between 20/10 and 20/8. When your decision whether or not to swing — and how to position your hands and body for that swing — is within a window of literally milliseconds, the difference between elite and unknown could depend on a few extra milliseconds of pitch recognition. While vision is only one factor, it does appear to be an important prerequisite in success at the highest level. When you have such extreme outliers genetically, it at least somewhat answers the question “why have there been so many siblings/parents to play Major League Baseball?” Which brings us to the real question:

Who is the best family to ever play?

Here are the basic criteria I looked at in my research:

  1. Grandparents, parents, siblings — minimum 5 seasons played
  2. Fangraphs WAR
  3. Minimum of 6 “third-WAR” combined
  4. No family member active in the minor leagues

While WAR (wins above replacement) may be an imperfect statistic, it is a great place to start, as it allows us to compare players from different eras and players from different positions with one number. I decided to, admittedly somewhat arbitrarily, use the player’s third-best season in terms of WAR (third-WAR) to value them. To me, this fairly encompasses how good the player was in their prime, while excluding outlier seasons. It also avoids the difficulty of understating a player’s greatness just because they enjoyed a long career, as might happen if you simply used a career average or median, or overrating a player who was good for awhile but never great. Based on this, let’s take a look at some of the greatest baseball families:

third-WAR is the player’s WAR in their third-best season. While somewhat arbitrary, it is a metric that reflects a player’s skill in his prime, while removing outlier seasons.

From this, as expected, the Bonds family is far and away the most impressive. While you may be thinking “but Barry’s career should have an asterisk” don’t forget that even before his alien stretch starting with 73 home runs he had already had some of the best seasons in baseball history. And his father Bobby was responsible for five of the first ten 30 home run/30 stolen base seasons in MLB history. After the Bonds family, who would you take on your father-son-sibling squad?

Before I did any research, the obvious answer seemed like the Griffeys. In a lot of ways, the Griffey family mirrors the Bonds’ in that dad was great but under-appreciated in his era, while Junior’s greatness had him in the conversation of “greatest of all time” during his prime. Of course, injuries plagued Ken Jr., while Barry enjoyed a long, healthy career. As I delved deeper though, I was surprised to find that the Griffeys may not even be the best baseball family in Cincinnati Reds history.

This Boone-Larkin-Boone-Larkin infield actually appeared together, but just once. Stephen Larkin, younger brother of Hall of Famer Barry, only played in one MLB game. (Photo credit Cincinnati Reds)

Four Boones or two Griffeys?

Now comes the discussion of quality over quantity. No one would argue that Ken Jr. in his prime wasn’t superior to any of the Boones, but the Boone package includes four very good players. To complicate matters in this very serious cross-generational debate, Aaron, Bret, Bob, and Ray even played unique positions for much of their career (3B, 2B, C, and SS respectively).

So who would you take? Below are the “third-WAR” seasons for each family.

Bret Boone, 2B: .278/.339/.462 (3.9 WAR) 24 HR/107 RBI, Gold Glove
Aaron Boone, 3B: .267/.327/.453 (2.1 WAR), 24 HR/96 RBI/23 SB
Bob Boone, C: .256/.310/.337 (3.2 WAR), 7 HR/58 RBI, Gold Glove
Ray Boone, SS: .295/.376/.466 (3.9 WAR), 20 HR/85 RBI/4 SB

Ken Griffey, LF: .294/.364/.454 (3.5 WAR), 13 HR/85 RBI/23 SB
Griffey Jr CF: .309/.408/.617 (8.4 WAR), 45 HR/109 RBI/17 SB, Gold Glove

Is there a wrong answer here? Looking only at WAR, the Boones edge out the Griffeys. The case to be made for the Boones is that you’d be able to fill four very important positions with all-star caliber players. But if you want to get technical, not all WAR is created equal (for example, one 8 WAR player is better than four 2 WAR players, because 2 WAR players are easier to replace). A superstar Junior and an all-star Senior is a very tough duo to pass on. But at the risk of repeating history and trading four players for Griffey (more on Mike Cameron in part two — dads with prospects) I’m going to go with the quartet of Boones.

What do you think? Go here to vote.

I’m not sure if “launching knuckleballs for game-winning home runs to send your team to the World Series” is a stat, but I know who leads it. (Photo credit: InsideSoCal)

What about the Alous?

Not to be outdone, the Alou family has an important place in this discourse, too. By the third-WAR metric, they actually edge out the Boones for the #2 spot. The four big leaguers from their family present a noteworthy, even if less well-rounded bunch than the Boones:

Moises Alou, OF .339/.397/.592 (4.7 WAR), 22 HR/78 RBI/7 SB
Felipe Alou, OF .297/.338/.481 (5.1 WAR), 23 HR/78 RBI/8 SB
Jesus Alou, OF .324/.345/.417 (0.4 WAR), 2 HR/19 RBI, 3.3% K%
Matty Alou, OF .338/.372/.413 (3.4 WAR), 2 HR/28 RBI/16 SB, 7.2% K%

Moises and Felipe make for a formidable tandem themselves, but the high average and contact rates of Jesus and Matty are what makes this foursome competitive with the Boones. Ignoring the fact that we have four outfielders (Matty and Felipe both played some first base as well) this group compares favorably to the Boones on paper; Moises and Felipe would be preferable to any of the Boones, while Matty is a fun guy to remember and had a nice career too. But for me, the fact that the Boones cover three premium positions (C, 2B, SS) makes up for the less impressive offensive numbers. Perhaps I’m biased in that I grew up watching Aaron and Bret, while Moises is the only Alou I had a chance to see play.

In any case, the WAR (which does take into account positional value) disagrees with my opinion — what do you think? Vote here.

“Your opinion is wrong” is how every good debate should end.

Bells and Alomars

Moving on to the trios, we’ll start with the Bell family. We have Buddy, one of the most underrated players in history, leading the group; Buddy won six gold gloves as a third baseman, hit for average and power, but never received much attention (or Hall of Fame consideration) because he played for some bad teams and was a contemporary of the best third baseman in history. David was a true journeyman, playing for 7 teams in 12 seasons, but put together some very good years as a utility infielder. Grandpa Gus was lucky enough to play for the Redlegs when they actually changed their name to “Redlegs.”

Youngest brother Mike appeared in a few games in 2000, but didn’t qualify for this list. (Photo credit: Blavity)

The Alomars, led by Hall of Famer Roberto, would make for an elite defensive squad in any era: Sandy Jr. behind the plate with Sandy Sr. and Roberto as the double play combination at short and second.

While Sandy Jr. certainly looked the part of a power hitter (he’s listed at both6’3 and 6’5 but was remarkably athletic for his size) he never hit more than 21 HR in a season. I was surprised to learn, that other than his breakout .324/.354/.545 season during which he mashed those 21 homers, he was mostly an average offensive catcher for his career. Sandy Sr. had a very long, successful career in the MLB as a speed-and-defense middle infielder, though he was never feared at the plate. Roberto, meanwhile, was one of the most valuable players of the era; he played a premium position at second base (and did so quite well — hence the ten gold gloves) while also hitting for average, power, and being a force on the bases. For a stretch of ten seasons from 1992–2001, Roberto hit .300 nine times, posted a double-digit walk rate six times, and in each of those six seasons he walked more than he struck out. He also won nine gold gloves, and stole more than 300 bases in that time frame. The Alomar versus Bell comparison is tough, if only because Roberto was so damn good.

Buddy Bell, 3B: .329/.379/.498 (6.0 WAR) 17 HR/83 RBI, Gold Glove
David Bell, 2B/3B: .261/.333/.429 (3.1 WAR) 20 HR/73 RBI, 12.7% K%
Gus Bell, OF: .299/.349/.465 (1.8 WAR) 17 HR/101 RBI/5 SB, 8.5% K%

R. Alomar, 2B: .310/.405/.427 (6.1 WAR) 8 HR/76 RBI/49 SB, Gold Glove
S. Alomar, 2B/SS: .239/.277/.305 (1.0 WAR) 2 HR/39 RBI/28 SB
S. Alomar Jr., C: .288/.347/.490 (2.0 WAR) 14 HR/43 RBI/8 SB, 9.7% K%

As hard as it is for me to do — given my preference for guys who play up the middle (and totally healthy baseball man crush on Roberto Alomar) — the Buddy-David-Gus combination is just too solid for me. I think Buddy is very underrated, and although not on the level of greatness Roberto, I’d take David and Gus over Sandy Jr. and Sr. You could just as easily make the case for the Alomars, as I did for the Boones, that despite lower WAR you might prefer the premium positions.

Would you pick the Bells or the Alomars?

If you don’t have a baseball crush on Roberto Alomar, I didn’t do him justice. (Photo credit: El Nuevo Dia)

Martinezes and the importance of pitching

Yes, it’s true, that is how you make “Martinez” plural. Now that that’s out of the way, let’s talk about the family that I think will be the toughest to categorize.

So far, we’ve only had families of position players on our list. While theStottlemyres represent an impressive pitching duo, it’s hard to compete with Pedro and Ramon. While Pedro’s highest WAR seasons don’t match up to those of Bonds, he has a real case for the best pitcher of all-time, coming from an era that was totally unfair to pitchers. To complicate matters, we are faced with the fact that pitching wins championships. And now we are faced with some limitations of the WAR statistic. Just for fun, which season do you think was better? (follow link to vote):

Griffey Jr CF: .309/.408/.617 (8.4 WAR), 45 HR/109 RBI/17 SB, Gold Glove
Pedro Martinez, P: 17–8, 241.1 IP 1.90 ERA/2.39 FIP (8.5 WAR) 32.2% K%

Considering that these seasons are even from the same era, we aren’t even tasked with grading on a curve. WAR would give a slight edge to Pedro in this category — though basically a tossup. Here’s the Martinez family compared to the Griffeys:

Pedro Martinez, P: 17–8, 241.1 IP, 1.90 ERA/2.39 FIP (8.5 WAR) 32.2% K%
Ramon Martinez, P: 17–7, 206.1 IP, 3.66 ERA/4.21 FIP (2.2 WAR)

Ken Griffey, LF: .294/.364/.454 (3.5 WAR), 13 HR/85 RBI/23 SB
Griffey Jr CF: .309/.408/.617 (8.4 WAR), 45 HR/109 RBI/17 SB, Gold Glove

From this, the Griffey family seems far superior to the Martinezes. Why, then, do I really want to pick Martinez family? I think that depends on how you think about the question “who is best?” If you view the question as an observer, and are merely comparing groups of stats, the Griffeys are the clear choice. But if you are like me, and for some reason imagine yourself picking these families to participate on your “team” then you might find yourself taking the dominant, ace pitcher over a Hall-of-Famer and All-Star combo.

Go here to vote between the Martinezes and Griffeys. 

If there was a 0.000001% chance it would work, I’d build the shit out of some fields (Field of Dreams).

Greg and Mike Maddux

Speaking of dominant aces, the Maddux family creates an almost impossible choice between pitching families. While Mike had a successful career, mostly as a reliever for ten different teams across fifteen seasons, it was younger brother Greg that puts this duo in the same category as Pedro and Ramon.

For an era dominated by batters that were bigger, faster, and stronger than ever before, it’s suiting that one of the purest finesse pitchers in history shut them down so consistently. Like Pedro, Greg did not have what most would consider ideal size for a pitcher; unlike Pedro, Greg never posted gaudy strikeout numbers, and relied on pinpoint command and pitch movement. 

This tailing fastball, combined with pinpoint command, helped make Maddux absolutely dominant.

The young, lanky version of Maddux topped out in the mid-90s according to scouting reports at the time. However, many of those same scouts doubted his ability to make it as a starter in the Majors. He struggled mightily in his first season with the Cubs, and again the following season even with extended innings: his ERA was north of 5.5 both seasons. Even still, scouts were turning the corner on their evaluations, noting his solid “stuff” and athleticism — in those rough two seasons he was only 20 and 21 years old. He broke out in a big way the following season, evolving into the “Mad Dog” we know today, largely thanks to his improvements in command and less reliance on a hard fastball.

After five more great seasons with the Cubs, Greg left via Free Agency for the Braves. The already great Maddux somehow got even better with the Braves. Across a span of ten seasons, Maddux posted — get this — more than 72 WAR. While Pedro was more dominant at his peak, Maddux was elite for a much longer span, posting a WAR over 5 for a full twelve seasons. For comparison, we have to lower the bar to 3 WAR to find twelve seasons for Pedro. At 3 WAR, Greg had nine-freaking-teen seasons (as in, 19) where he cleared that. And I guess the eighteen gold gloves that Greg won are worth mentioning, too.

This is what makes the Pedro vs. Greg debate tough: is a long span of elite performance more impressive than a shorter span of flat dominance? If you think the two are close, does the fact that Ramon was more valuable than Mike make a difference in the best pitching family debate?

Pedro Martinez, P: 17–8, 241.1 IP, 1.90 ERA/2.39 FIP (8.5 WAR) 32.2% K%
Ramon Martinez, P: 17–7, 206.1 IP, 3.66 ERA/4.21 FIP (2.2 WAR)

Greg Maddux, P: 15–11, 245 IP, 2.72 ERA/2.73 FIP (7.8 WAR), Gold Glove
Mike Maddux, P: 7–2, 5 SV, 98.2 IP, 2.46 ERA/3.08 FIP (1.4 WAR)

Go here to vote between these two pitching families.

Ripkens

While Ryan Ripken is still an active minor league player, which would technically make the Ripkens a part of my part two discussion of families with active prospects (will be linked once article is complete) I decided to include them here because Ryan doesn’t seem to have much promise as a 24 year old struggling in A ball. Barring some very late blooming, it’s just Cal and Billy representing the Ripkens. I have to admit, while I enjoy all of the research I’ve done to put this article together, the most enlightening research has been on that of Cal.

As a relatively young baseball fan, this is about the beginning of my experience watching Cal play. (Photo credit: NY Daily News)

While his durability and the number 2632 are probably the first things that come to mind when you think of Cal Ripken Jr., this amazing consecutive games played record (which I believe will never be broken) may actually be a disservice to him, in that it overshadows just how great of a player he was. He is credited with being the progenitor of offensively-capable, taller shortstops, but he is still in my opinion the greatest shortstop not named Rodriguez to ever play. He hit for average, power, took walks, didn’t strike out much, and was highly regarded defensively (2 Gold Gloves, and probably would have had more if not for Vizquel). In terms of longevity, Cal posted fifteen straight seasons of 3.5+ WAR. In terms of an elite prime, he had a stretch of nine years in which his WAR was 5+ in eight of them.

As far as greatness goes, this is a rare time when “Hall of Famer” doesn’t do a player justice. (Photo credit)

When you tell your children of Cal Ripken, lead with the numbers that show his greatness…then tell them he didn’t miss a game for more than sixteen full seasons.

Cal Ripken, SS: .317/.371/.517 (8.5 WAR) 27 HR/102 RBI, MVP
Billy Ripken, 2B
: .239/.284/.305 (0.9 WAR) 2 HR/26 RBI/1 SB

Billy was a rightful big leaguer — which isn’t always the case when it comes to family members with famous last names — but mostly a light hitter who made himself valuable by being a very good defender.

Since Cal Ripken and Greg Maddux both had long, glorious careers with a period of dominance, let’s compare their families. Who would you take?

Gwynns, Uptons, Fielders, and Cruzes

As for the honorable mentions, there are some impressive duos, and I’m sure I inevitably missed some.

Tony Gwynn, RF: .329/.381/.467 (6.2 WAR) 14 HR/59 RBI/37 SB
Tony Gwynn Jr., CF: .256/.308/.353 (1.6 WAR) 2 HR/22 RBI/22 SB

Gwynn Sr. might have been the purest hitter ever. His career average was an astonishing .338, and he walked (7.7%) far more than he struck out (4.2%). His final season in the league, at age 41, he went .324/.384/.461 and still walked more than he struck out. There’s no doubt that he could have contributed for longer, had he chosen to do so. Gwynn Jr. had a few solid seasons of his own, with great speed and plate discipline, but never hit for much average or power.

Justin Upton, OF: .300/.366/.532 (4.9 WAR) 26 HR/86 RBI/20 SB
Melvin Upton, OF: .237/.322/.424 (3.8 WAR) 18 HR/62 RBI/42 SB

The book on Justin hasn’t really changed since he was drafted #1 overall in 2005: great hitter, good speed. His brother Melvin (formerly B.J.) was drafted #2 overall as a shortstop in 2002. While Justin Upton still has plenty of years ahead of him at just 30 years old, older brother Melvin looks to be nearing the end of an intriguing career. After holding his own offensively as a 20 year old, but with some difficulties defensively at SS, Melvin was moved to CF where he thrived. At age 23, he broke out with a .300/.386/.508 slash line — with 24 HR and 22 SB. He followed that up with a less impressive .273/.383/.401 season, but added 44 SB. The power, speed, plate discipline, and defensive abilities were all there; though he never quite became a superstar he did have a productive career. It’s worth mentioning Dmitri and Delmon Young, who did not reach the minimum third-WAR threshold, but were drafted #4 and #1 overall respectively, and were the first brothers to be taken in the top 5.

Prince Fielder, 1B: .299/.415/.566 (4.7 WAR) 38 HR/120 RBI, 15.5% BB%
Cecil Fielder, 1B: .244/.325/.458 (2.5 WAR) 35 HR/124 RBI, 10.8% BB%

It’s safe to say that Prince made his dad proud with his career, even if it ended a few years too soon due to injury. While the notoriously chubby Prince stole more bases (18) than his hulking father (2) these guys were paid to mash. Prince was the better overall hitter, but his dad still holds the family home run record with 51 (Prince topped out at 50). By some wild coincidence, both father and son finished their careers with the same number of home runs — 319. While Prince only ever played first base, Cecil was wedged into the lineup at third and even second base, giving us this great box score:

Dammit I love baseball: Cecil Fielder and Kelly Gruber swapping positions 18 times, even mid at-bat. (Source)

Jose Cruz, OF: .315/.376/.460 (4.8 WAR) 10 HR/83 RBI/37 SB
Jose Cruz Jr., OF: .241/.358/.433 (2.5 WAR) 14 HR/45 RBI/14 SB, 15.5% BB%

In this case, junior didn’t quite live up to the legacy of his dad — but it was a high bar to reach. Cruz Sr. had seven seasons of 4+ WAR, and twelve consecutive seasons of 2+ WAR. Cruz Jr. had a 30/30 year and a few other productive seasons, but it was a tough era to stand out as a bat-first outfielder. Which leads us to…

The forgotten family of baseball

In putting together this list, I almost neglected to include the Gileses, and that’s a major oversight. It’s a mistake I don’t want saavy baseball fans who value knowledge about random baseball history to make. Most of the other articles I found on the topic don’t even mention the Giles family at all — it seems the “underrated” moniker has stuck with them long into retirement. Check out these third-war seasons:

Brian Giles, OF: .315/.432/.594 (6.3 WAR) 35 HR/123 RBI 16.6% BB%
Marcus Giles, 2B: .311/.378/.433 (3.0 WAR) 8 HR/48 RBI/17 SB

Unlike Marcus who had a few great seasons and was gone, perhaps a beneficiary of the “third-WAR” metric, Brian was a truly elite outfielder for about a decade.

Brian’s career began in the unenviable position of being an unheralded prospect — drafted in the 17th round — stuck in the minor leagues behind an outfield consisting of Ramirez, Lofton, Belle. On top of that, the acquisition of veterans (and future Hall of Famers) Dave Winfield and Eddie Murray to fill the Indians’ DH vacancy effectively blocked Giles from any chance at-bats. Once Murray was traded in mid-1996, Giles played in 51 games, posting an impressive .355/.434/.612. He showed enough to earn a full-time outfield job when Belle left in free agency the following year. Despite posting a great .269/.396/.460 line, the Indians traded him to the Pirates for usable reliever Ricardo Rincon, straight up.

A few years later, the A’s would trade someone named Marshall McDougall to the Indians for Rincon. The Indians did not do well in Rincon trades. (Photo: Moneyball)

The Indians’ loss was the Pirates’ gain. Giles went on to post five straight seasons with an on-base percentage of .400+ including a historic .298/.450/.622 in 2002.

The extent to which Brian was unappreciated despite such elite production is best elucidated by the fact that he only made two All-Star games in his entire career, despite eight consecutive seasons of 4+ WAR, and a shiny career line of .291/.400/.502.

Brian posted double-digit walk rates every year he played, and the only year he struck out more than he walked (his 14th season) was the year he called it quits. For perspective, only five players had more walks than strikeouts in 2017: Votto, Turner, Trout, Rendon, and Rizzo — an impressive list, for sure; none of those players accomplished that feat the previous year. Among his contemporaries, the only other players to post double-digit walk rates with fewer strikeouts than walks with a .500+ slugging percentage in consecutive seasons were: Bonds, Sheffield, Pujols, Chipper, Giambi, Helton, Palmeiro, Thomas. I thought about excluding first basemen from the list, but this helps make the point of just how great Brian was, and for a long period of time.

As mentioned above, younger brother Marcus did not enjoy the long career Brian did, but was extremely valuable in his own right. While Brian was unheralded as a youngster, Marcus was mostly disregarded; Marcus was drafted way down in the 53rd round in 1996. He cracked the big leagues for the first time in 2001 at age 22, and put up a terrific .262/.338/.430 in about half a season of work, and he posted similar numbers in 2002. Even if that were the whole story, that’s still a remarkable achievement for a 53rd round draft pick — but of course, there’s more. For his stretch from 2003–2005,Marcus was by far the best second baseman in the game. In fact, among all middle infielders, only the nearly immortal Alex Rodriguez rated higher than the diminutive Giles during that span (that includes guys like Tejada, Jeter,Rollins, and teammate Furcal).

From 2003–2005, Marcus Giles was basically a better defensive version of Derek Jeter (Source: Fangraphs)

This is not to say that Marcus had a better career than any of the aforementioned stars, as this dramatically understates the significance of longevity (these were actually Marcus’ only three noteworthy seasons). But as far as 53rd round picks go, a run of three elite years like this is pretty wild. This puts the Giles family rightfully in discussion of top 5 baseball families.

Across three full seasons, the Giles brothers were among the top players in all of baseball (Source: Fangraphs)

Of these five-honorable mention families (Gwynns, Uptons, Fielders, Cruzes, Gileses) who would you take? Vote here.

The ultimate question:

Who do you think is the best non-Bonds baseball family? Go here to take the poll.


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.

 


J.D. Martinez: Market Value and 2018 Projections

J.D. Martinez had another great year in 2017. With 3.9 sWAR[1] and a .430 wOBA, J.D. contributed well above average once again. Offensively (wOBA) he has been able to consistently contribute year after year since 2014. J.D. does carry some defensive shortcomings, yet he is an excellent asset in any lineup.

For the past three years he has been able to get on base at an above-average rate (.364 OBP), alongside an excellent .289 ISO and a .587 SLG. He does carry a lifetime 25% K-rate (approx.), but as long as he is able to produce and contribute the way he has, he should be able to make an impact in any organization.

In 2018[2], J.D. should see a slight decrease in wOBA (.395). Based on the 2018 projections, both OPS and ISO should decline marginally; nevertheless, J.D. should be able to perform as a top-caliber player.

Please find J.D.’s 2018 projections in the table below.

2018 Projections: J.D. Martinez
YEAR AGE sWAR wOBA OBP SLG OPS ISO AVG K% BB%
2015 28 4.7 0.372 0.344 0.535 0.879 0.253 0.282 27.1% 8.1%
2016 29 2.0 0.384 0.373 0.535 0.908 0.228 0.307 24.8% 9.5%
2017 30 3.9 0.430 0.376 0.690 1.066 0.387 0.303 26.2% 10.8%
2018 31 3.6 0.395 0.365 0.591 0.955 0.293 0.298 26.0% 9.6%

Projections: “SEG Projection System” (Including sWAR for 2015-2018)

sWAR = “SEG Projection System” calculation of WAR  

J.D. Martinez’s estimated AAV is around $27M, based on a five-year/$135M contract. J.D. is projected for 14.6 sWAR for the next five years.

Market Value: J.D. Martinez

YEAR AGE sWAR Value $WAR
2018 31 3.6 30.6 $8.4
2019 32 3.5 30.7 $8.8
2020 33 3.0 27.5 $9.2
2021 34 2.5 24.2 $9.7
2022 35 2.0 20.3 $10.2
TOTAL 14.6 $133.4

sWAR = “SEG Projection System” calculation of WAR 

$WAR: Adjusted for Inflation (5% per year)

[1] sWAR = “SEG Projection System” calculation of WAR

[2] 2018 Projections: JD Martinez (SEG Projection System)