2012-2014 Red Sox

Just a quick post on how much of a roller coaster the Red Sox have been on over the past few years. The 2012 Red Sox had the lowest winning percentage of any team that would go on to win the World Series the following season.

Year Team W L W%
2012 BOS 69 93 0.426
1986 MIN 71 91 0.438
1987 LAN 73 89 0.451
1968 NYN 73 89 0.451
1953 NY1 70 84 0.455
1913 BSN 69 82 0.457
1990 MIN 74 88 0.457
1958 LAN 71 83 0.461
1989 CIN 75 87 0.463
2001 ANA 75 87 0.463

Not only that, but the 2014 Red Sox had the second lowest winning percentage of any defending World Series winner. Only the 1998 Marlins were worse and we all know that story.

Year Team W L W%
1998 FLO 54 108 0.333
2014 BOS 71 91 0.438
1991 CIN 74 88 0.457
1918 CHA 57 67 0.460
1932 SLN 72 82 0.468
1986 KCA 76 86 0.469
2013 SFN 76 86 0.469
1967 BAL 76 85 0.472
2003 ANA 77 85 0.475
1994 TOR 55 60 0.478

Not to mention the 2011 season, after being considered an all-time great team going into the season and then the epic collapse after being up 9 games in the wild card with less than a month to go. It truly has been a wild ride in Boston the past few seasons. With the reports of their willingness to spend money on free agents this offseason, it’s not unreasonable to expect them to be a contender again in 2015.

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Hypothetical Extremes

Clayton Kershaw missed the entire month of April and will finish with fewer than 200 innings pitched for the season. But because he was so dominant during the other five months, he’s the easy choice for the National League Cy Young Award. Kershaw’s 198 IP is hardly the fewest of any Cy Young Award seeing that there have been 9 relievers to win the award since its inception in 1956. However, Kershaw will be the first starting pitcher to win the award with fewer than 200 IP in a non-strike shortened season. This got me to wonder what would be the least amount of playing time to win an award.

I decided to use Wins Above Replacement as a guide. Over the past 10 seasons, the league leaders in pitching WAR have finished with an average of 7.7 WAR. I’m going to use this as the number “required” to win the award, but I’ll try not to get too caught up in the exact number. The point of the exercise is to look at the stat line and decide if you would choose this player as the award winner.

As a quick note, I’ll be using 2014′s run environment (4.07 R/9) as well as replacement levels and wOBA weights. Each hypothetical player is assumed to play in a league average ballpark with league average teammates. Also, table headings are at the bottom.

14 GS, 14 CG/SHO, 7.7 WAR, 0.00 ERA, 378 K
The first hypothetical is a starting pitcher who strikes out every batter he faces while throwing complete game shutouts in every one of his starts. In order to reach 7.7 WAR, this player would require 14 starts at 126 innings pitched. Obviously, this player’s team would go 14-0. Since this pitcher strikes out every batter, the choice to use a FIP or RA/9 version of WAR is unimportant. As an award voter, I could see myself voting for this player.
Verdict: Yes

14 126 7.9 0.00 59.1 69.8 1.000 1.51 7.0

90 G, 90 IP, 7.7 WAR, 0.00 ERA, 270 K
Now what if we did this for a Relief Pitcher? As mentioned earlier, 9 relievers have won the award, but each one has failed to even break 5 WAR. Our hypothetical reliever would be brought in during the highest leverage situations, regardless of whether or not it is a save situation. I’ll give this player an average leverage index of 2.0. For this player to reach 7.7 WAR, he would need to pitch in 90 games at 1 inning a piece. This is quite the work load and it emphasizes just how difficult it is for a reliever to match a starter in terms of production. During these 90 games, this player and his league average teammates would go 50-40. Would I vote for this player?
Verdict: YES

90 90 7.7 0.00 37.6 45.2 .551 1.75 6.9

Over the last 10 seasons, the league leaders in overall WAR have finished with an average of 9.0 WAR. This is the number I will use while looking at position players and the MVP Award.

23 G, 98 PA, 98 HR, 9.0 WAR, 2.135 wOBA, 1397 wRC+
Our first hypothetical batter was called up late in the season and was limited to just 23 games. In that short time, he had 98 plate appearances and hit a home run EVERY SINGLE TIME (surprisingly, opposing pitchers never intentionally walked him). This player, along with his league average teammates, went 20-3 in the games he appeared. Even though he only played in 23 games, it would be very difficult to not give an MVP vote to a player with 98 home runs.
Verdict: Yes

23 98 9.0 2.135 137.3 140.6 .870 2.12 8.6

65 G, 65 PA, 65 HR, 9.0 WAR, 2.135 wOBA, 1397 wRC+
The second hypothetical position player is similar to the first. The difference is that he is solely a pinch hitter. He appeared in 65 games and hit a home run in each of those pinch hitting appearances. His team went 41-24 in the games in which he appeared. As a voter, I would find it very difficult to not vote for someone with 65 HR. Assuming that these teams play .500 baseball in the games where these players don’t appear, each of these hypothetical teams would end up going 90-72 over a full season. Lastly, I did not apply an adjustment for leverage for this player. But since his manager is able to insert him into any spot in the game, we can assume that his at bats were more valuable than average. Thus, it may actually require less than 65 HR & PA to reach 9.0 WAR.
Verdict: Yes

65 65 9.0 2.135 91.0 91.7 .635 1.90 8.8

I chose Yes for each of these four scenarios because they produced an incredible amount of value, even if it was such a short period of time. But what if we look at it from a different angle. What is the worst a pitcher can be while throwing every inning of every game for a team?

162 G, 1458 IP, 7.7 WAR, 90 ERA+, 4.52 R/9, 76-86 W/L
Not that the previous hypotheticals were easy to imagine, but having someone throw 1458 innings is tough to grasp. Not since Jim Devlin of the 1877 Louisville Grays has someone thrown every pitch in a team’s season. However, it was “just” 559 IP and it was the last year of his career because he was banned for gambling. But assuming this is possible and that there aren’t any PED questions, a player throwing 1458 innings and accumulating 7.7 WAR would have to allow 4.52 runs per 9 innings and they would finish with a 76-86 record (with league average teammates). I could not vote for a below average player, so I would not give my vote to him.
Verdict: No

162 1458 7.7 4.52 -47.9 75.4 .469 1.86 -5.1

This last hypothetical may be proof that using wins above average may be a better metric in award voting. If we set the threshold for Cy Young award to be, say, 6.0 WAA, the pitcher throwing 1458 innings would instead go 87-75, have a 105 ERA+ and allow 3.89 R/9. For this player, I would feel much more comfortable giving a vote.

Table Headings
G: Games Played
IP: Innings Pitched
WAR: Wins Above Replacement
R/9: Runs allowed per 9 innings
RAA: Runs allowed better than average
RAR: Runs allowed better than replacement
W%: Team’s winning percentage in games in which the player appears
Exp: Pythagorean exponent using PythagenPat method
WAA: Wins Above Average

PA: Plate Appearances
wOBA: Weighted On Base Average
wRAA: Weighted Runs Above Average

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Now Pitching for the Royals, Clayton Kershaw

Much has been said about Clayton Kershaw’s historic season. From his 41 inning scoreless streak to his 206 ERA+, he’s been compared to Sandy Koufax and many other all-time greats. He’s having the kind of season that we haven’t seen since Clemens, Johnson, Pedro, and Maddux were at their peaks.

Halfway across the country, the Kansas City Royals have a Clayton Kershaw of their own, and it comes in the form of Greg Holland, Wade Davis, and Kelvin Herrera. These three righthanders have combined for a 1.27 ERA (318 ERA+) with a 32% K%. They are among the top 9 relief pitchers in all of baseball in WAR and have combined for 7.7 WAR in 169 2/3 innings. Compare that to Kershaw, who has 7.0 WAR in 161 1/3 innings. No other team this season has any combination of 2 or more pitchers with as high of a WAR/IP rate with nearly as many innings pitched.

But obviously the main difference between the KC trio and Kershaw is how these innings are distributed. Kershaw’s have come in 22 different appearances, average 7 1/3 innings per start. Holland, Davis, and Herrera have appeared in 92 of the Royals’ 135 games. Take your pick. You can have a starter come in every 5th day and completely dominate for most of the game or you can summon 1 of 3 guys in high leverage situations late in the game. Either way, your team’s chances of winning are greatly improved.

With a starting pitcher like Kershaw, the opposing manager has the option to stack their lineup with right handed hitters to take advantage of platoons. Consequently, 489 of 604 batters (81%) who have faced Kershaw have been right handed. But he has held them to .200/.233/.315 slash line, which speaks to just how truly great he has been.

Royals manager Ned Yost has the option to bring in these relievers in any situation. Because of this, the opposing manager is restricted to the lineup he has already set and the possibility of using pinch hitters. Because of this, opposing hitters have had the platoon advantage in just 54% of plate appearances. If you had the opportunity to make one of these three KC relivers a southpaw, you’d probably take it. However, they have limited left handed batters to just a .201/.285/.248 slash line.

Given the choice between the two, I’d chose Kershaw over Holland/Davis/Herrera, as I’d expect most people to as well. Mainly due to the (1) difficulty in finding a left handed pitcher of his caliber, (2) he only takes up one roster spot, and the fact the (3) he’s only making $4 million (Holland/Davis/Herrera are making just under $10 million combined). But regardless, the Royals bullpen has been utterly dominant and facing them in a 5 or 7-game series is a scary thought. With as many off days as the postseason schedule permits, these guys will be available in just about every contest.

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Book Review: The Last Best League

Every year, the top college baseball players gather about 70 miles southeast of Boston to hone their skills and showcase their talents in front of amateur scouts from all 30 Major League Baseball teams. This is the Cape Cod League, the most prestigious of all the college summer leagues, made of 10 teams that play 40-game schedules. In the summer of 2002, Jim Collins chronicled the season for the Chatham A’s of the Cape Cod League.

The A’s manager is John Schiffner, a high school teacher and baseball coach in Plainfield, CT for most of the year. His challenge is to recruit these 19-21 year old prospects by cultivating relationships with Head Coaches from schools all across the country to put together the best team possible. Once assembled, he has to ensure adequate playing time for each of his players in order to appease the head coaches from their respective schools.

In assembling his 2002 roster, Schiffner takes the risky path by recruiting a good number of players who were taken in the June draft. It is often in these players interest to play in the Cape Cod League against a high level of competition while increasing their bargaining leverage. But the downside is, once they sign a professional contract, they become ineligible to play for their Cape team. It’s a bold move since these drafted players are among the most talented, but they can be gone in an instant.

Jim Collins takes you through all that goes into one season in the Cape Cod League. From recruiting players throughout the year, to the volunteers who help procure uniforms, to the host families that take in the ballplayers during their time on the cape. It’s almost as if the entire community is involved in one way or another and they are rewarded with free baseball from the top college players in the country.

Collins also describes the day to day life of the Chatham A’s players. How they are required to find a day job during the season and the relationships they establish with their host families. You learn that while all these players have elite talent for their age, they also all have different motivations, goals, and expectations for their careers.

As a baseball fan, the beauty of reading a book from a decade ago was recognizing and following players that I’ve seen on top prospect lists and even the select few that have made a career in the Major Leagues. Even twelve years later, Tim Stauffer and Chris Ianetta, two Chatham A’s are still in the big leagues. Other future Major Leaguers from around the league are Anthony Gwynn, David Murphy, David Aardsma, and Jeff Niemann.

Brad Ziegler was even viewed as sort of an antagonist. As a member of the 2001 Chatham A’s, he made a comment in the local newspaper that rubbed some of his teammates the wrong way. He would return to the Cape in 2002, but this time with the Harwich Mariners and he would face off against his old team more than once along the way.

The most current release of The Last Best League is the “10th Anniversary Edition” (the book was originally released in 2004). This edition includes a chapter titled “10 Years Later”, which catches up with each of the ’02 Chatham A’s. All throughout the book, I had the urge to hop on the internet and check out how each player fared in professional baseball. Knowing that this chapter was included, I avoided doing any research until after I was finished. These players are still just in their early 30’s, but it’s surprising just how many of them are already out of professional baseball. Jim Collins continually refers to the baseball “pyramid”. By this he means that at every level, only the very best of the best will advance to play at the next level, all the way up to the “tip” of the pyramid, the Major Leagues. Ten years later, it’s easy to see that only a very few make it to the “tip”.

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Book Review: “Down to the Last Pitch”

The 1991 World Series was the first that I remember watching as a kid. My elementary school friend was rooting for the Twins, so naturally, I chose the Braves. While I was in awe of the spectacle and being able to watch the players that I knew from all of my trading cards, I knew very little of what was happening in terms of storylines and strategy. So when I was given a chance to review Tim Wendel’s new book “Down to the Last Pitch”, I jumped at the opportunity.

While the format is simple (one chapter for each game), the book is much more than just seven game recaps. In fact, actual play-by-play narrative only takes up a small percentage of the pages. Wendel goes in and out of the games with backstories on players and each of the clubs involved. While “Down to the Last Pitch” is advertised as a book about the 1991 World Series, it’s really about that AND the game of baseball during the late eighties and early nineties.

There were a couple of instances where the author got a little sidetracked, talking about a subject that had little to do with the rest of the story. For example, he went from Otis Nixon’s cocaine problems to Alan Wiggins and his complications with AIDS. He also spent time on Pete Rose and the Dowd Report, 19th century baseball player turned evangelist Billy Sunday, and kids playing multiple sports. Some of these stories certainly weren’t necessary to the telling of the 1991 World Series, but I enjoyed them and had no problem with their inclusion.

Just about every player who had a role in the series has at least a page or two dedicated to them and their story. Some of course, more than others. Kirby Puckett has almost the entire sixth chapter because Game Six was pretty much his, while John Smoltz and Jack Morris dominate Game Seven and its pages. One of my favorite stories was how Lonnie Smith once had a plot to kill John Schuerholz (his GM with the Royals) and how Schuerholz later became Smith’s GM once again in Atlanta.

This book is for anyone who wants to re-live one of the greatest World Series in history. Or if you are younger than thirty, you can live it for the first time. If you just want what happened on the field, buy the DVD or read the play-by-play on Baseball-Reference.com. But if you want much more than that, you’ll enjoy this book.

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Book Review: “1954″

“1954” is the latest book from J. G. Taylor Spink Award recipient Bill Madden. Madden has covered Baseball for the New York Daily News for over 30 years and his most recent book, Steinbrenner: The Last Lion of Baseball, was a New York Times Bestseller.

As the title suggests, “1954” chronicles the 1954 Baseball Season. But the first time I read the book’s subtitle “The Year Willie Mays and the First Generation of Black Superstars Changed Major League Baseball Forever”, I was a little confused. As someone who spends a large amount of time researching and reading about Baseball History, I’ve never equated the year 1954 with this subtitle. Sure, it was Mays’ first full season that included an MVP and “The Catch”, the rookie seasons for Hank Aaron and Ernie Banks, and Larry Doby helped lead the Indians to an American League record 111 wins. However, in reading the story of the 1954 season, I was never truly convinced that this was the case. While there’s no denying the impact of African Americans during the 1954 season, I’m not sure that this was THE season that changed Baseball.

Aside from the minor issue with the subtitle, I thoroughly enjoyed “1954”. Madden chose a season from his childhood, one that includes a dominant team that finally overtook the Yankees and possibly the most famous play in Baseball history. He spends a lot of time introducing the many characters and giving their back stories (In fact, the season doesn’t even start until page 112). But this is necessary, because Baseball was undergoing a lot of changes in the decade after WWII. Changes such as franchises shifting to different cities for the first time in over a half century and most importantly, the integration of Major League Baseball. Integration certainly was not complete once Jackie Robinson and Larry Doby made their debuts, and Madden makes sure to detail the progress and show how some teams (like the Yankees) were reluctant to integrate.

There is a lot of focus on the three New York teams and their situations. Some readers might complain of “New York bias” by a New York writer since so much time is spent on the Yankees, Giants, and Dodgers. But this is clearly not the case as all three teams and their stories are vital. You could not write this book without going into great detail on people like Leo Durocher, Casey Stengel, Jackie Robinson and Walter Alston. The astute Baseball fan can easily point out how these teams dominated the entire decade of the 1950’s.

A good number of Baseball books make the mistake of filling their pages with countless game and play by play accounts, to the point that they can become monotonous and start to run together. That’s certainly not an issue in “1954”. Madden chose the most important games and events (including the Giants and Indians World Series) and kept them interesting without losing focus.

I would have preferred that the book gave the reader a better sense of how life was during the 1950’s by touching on more non-Baseball events. It discusses Brown vs Board of Education, Hotel Desegregation, pop culture, and even a murder trial, but I personally wanted a little more. But this is nitpicking and ultimately it’s a Baseball book and that is certainly what you will get.

There’s a lot of information in the book. A lot of stories that Madden has gathered through interviews with former players and sources like the Hall of Fame Library and The New York Daily News Archives. No matter your level of Baseball knowledge, you’ll be sure to read a story that you haven’t read before.

“1954: The Year Willie Mays and the First Generation of Black Superstars Changed Major League Baseball Forever” will be released on May 6th, 2014



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The Greatest Living Ballplayer

I’ve been doing A LOT of reading this offseason and currently, I’m reading Richard Ben Cramer’s bio of Joe DiMaggio. The book reminded me on how, in 1969, he was voted as “The Greatest Living Ballplayer” and how he insisted on being announced as such. I immediately thought this wasn’t true. I don’t think there was any point in DiMaggio’s life where he deserved the title. In fact, you could argue that there was never a time where he was the “Greatest Living Center Fielder”.

So I decided to use Wins Above Replacement to take a chronological look of “The Greatest Living Player” from 1871-2013. WAR isn’t the be-all end-all in evaluating players, but it’s the best we have and it’s a fantastic starting point.

I separated Position Players and Pitchers into two different lists.

First, the position players:

Player WAR Start End Years
Ross Barnes 2.1 1871 1871 1
Davy Force 7.2 1872 1872 1
Ross Barnes 26.4 1873 1880 8
Cap Anson 93.8 1881 1908 28
Honus Wagner 130.6 1909 1922 14
Ty Cobb 151.2 1923 1929 7
Babe Ruth 183.8 1930 8/16/48 17+
Ty Cobb 151.2 8/17/48 7/17/61 13+
Rogers Hornsby 128.2 7/18/61 1/5/63 1+
Stan Musial 128.1 1/6/63 1965 3
Willie Mays 157.9 1966 2005 40
Barry Bonds 162.5 2006 Present 8

Now for the Pitchers….

Player WAR Start End Years
George Zettlein 16.4 1871 1872 2
Al Spalding 59.2 1873 1878 6
Tommy Bond 62.0 1879 1883 5
Jim McCormick 93.2 1884 1898 15
Kid Nichols 108.5 1899 1901 3
Cy Young 168.7 1902 11/4/55 53+
Lefty Grove 103.6 11/5/55 5/22/75 19+
Warren Spahn 100.9 5/23/75 1979 4+
Tom Seaver 121.4 1980 2002 23
Roger Clemens 140.3 2003 Present 11

A couple of notes
- If you want to exclude Bonds and Clemens for PED reasons, then Mays and Seaver would still be the “living leaders”.
- It’s pretty amazing that Cap Anson led all position players for 28 years. That span would be 3rd longest behind Cy Young and Willie Mays.
- Even if you want to credit DiMaggio additional “WAR” for the WAR (WWII), he’d still be well short of the leaders.
- If you credit DiMaggio for time lost to military service, you would also have to do the same for Ted Williams. He missed almost 5 years and finished with 123.2 WAR. He would need to average 7.5 WAR per season to pass Mays, which is actually not that outrageous considering his seasons during that time.
- On Old Timers Day at Yankee Stadium, as DiMaggio was announced as “The Greatest Living Ballplayer”, he wasn’t even the greatest ballplayer on the field at the time (see Mickey Mantle).

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Pudge and WOWY

I came across this because I’m working on a simulation game with players rated based on their stats. In my attempt to rate each catcher’s throwing arm, I decided to use their caught stealing percentage, but I didn’t want their battery mates to have an affect on the ratings. That is why I decided to use the WOWY method (with or without you) which compares the caught stealing percentages of each battery mate with and without a particular catcher.

After finishing my queries, I like to check some of the All-Time greats to see where they stand. This is when I noticed that Ivan Rodriguez’s WOWY rating wasn’t as amazing as I expected.

Pudge’s peak in throwing out base runners lasted from about 1991 – 2001 where he consistently threw out 20+% more base runners than league average. During that same time, the WOWY method has him 10-15% better than average. That’s still a fantastic rate, but it shows that his overall numbers may be a little deceiving.

The most obvious reason for the disparity would be that his battery mates were better than average, and this seems to be the case with Pudge. Here is the data from ’91-’01:

Year WOWY CS Att CS% Pitchers League
1991 -12.3% 89 176 51% 38% 33%
1992 -5.4% 140 290 48% 43% 33%
1993 -1.2% 130 278 47% 46% 34%
1994 -5.0% 108 241 45% 40% 32%
1995 -11.1% 102 215 47% 36% 31%
1996 -11.0% 127 242 52% 41% 30%
1997 -12.9% 138 253 55% 42% 32%
1998 -13.0% 134 239 56% 43% 32%
1999 -15.0% 104 191 54% 39% 31%
2000 -13.7% 93 165 56% 43% 31%
2001 -10.2% 65 129 50% 40% 31%

Take the 1998 season for example. From ’97-’99 (I use a 3-year average to increase sample size and smooth out seasons), Pudge threw out 134 of 239 runners, 56%. League average was 31.5% during that time. The pitchers he caught most frequently (Rick Helling, John Burkett, Darren Oliver, Bobby Witt, and Aaron Sele) combined for a 43.8% caught stealing rate with catchers other than Pudge. So while Pudge was 25% better than league average, he was just 12% better using the WOWY method.

While the pitchers changed over the course of his peak seasons, the story seemed to stay the same. He caught a bunch of pitchers who had better than average caught stealing percentages.

A couple of notes:
-I count double steals as just 1 steal since the catcher only has the opportunity to catch 1 runner. This is why there may be a slight difference in SB/CS numbers.

-One problem with WOWY in this case is the “WY” (without you) in that the other catchers may also be above or below league average. But this is why I use a 3-year average to increase the sample of battery mates. One could take an extra step and look at the other catchers in the “WY” data to see if/how they skew the numbers.

-This also works for pitchers, and a similar comparison is Chris Carpenter. From ’05-’07, he had a 75% CS%, about 45% better than league average. But his primary catcher was Yadier Molina. Using the WOWY method, Carpenter’s CS% was 28% better than average, rather than 45%.

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Baseball Gauge Power Rankings

I’ve recently added a Power Rankings chart to the front page. The concept is quite simple but there is a lot that goes into the formula.

First off, I look at 3 different time periods and assign different weights for each.

1. Entire season (50% weight)
2. Last 25 games (33% weight)
3. Last 10 games (16.7% weight)

The “Last 10 games” actually have more impact on the final number than just 1/6th since the last 10 games are included in both the last 25 and entire season.

Four numbers go into each of the 3 time periods….

1. Team’s Winning Percentage
2. Team’s Pythagorean Winning Percentage
3. The average Winning Percentage of their opponents
4. The average Pythagorean Winning Percentage of their opponents

I then simply just find the average of these 4 stats for each of the 3 different time periods.

Let’s say a team goes 8-2 and in their last 10 games, while scoring 45 runs and allowing 45 (Pythagorean win % would be .500). Their opponents over the past 10 games have an average winning percentage of .463 and an average Pythagorean winning percentage of .455. Combining these 4 numbers would give them a .5545 rating over the past 10 games. Even though they won 80% of their games, they didn’t outscore their opponents and their schedule was weak, so their rating is not as high.

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Teammates Sharing Birthdays (Maddux, Justice, Avery)

If you are like me, then you are a child of the 90′s and you rooted for America’s Team, the Atlanta Braves. And you probably know that today, April 14th, is Greg Maddux, David Justice, and Steve Avery’s birthday.

Alright, you don’t need to be a child of the 90′s OR have rooted for the Braves to know this. But my point is that when I was younger, I thought it was very cool that three teammates shared the same birthday, with Maddux and Justice being born in the same year. So for the past 20 or so years, I am reminded of this whenever I see 4/14 on the calendar. This year I decided to see if there are any other groups of teammates sharing the same date of birth and with similar success as the 90′s Braves trio.

It turns out there are only six different foursomes to have played together. Note that the 1924 Cardinals played together again in 1925, and the 1952 Dodgers also played together in 1950.

Year Team Birthday WAR Players
1924 Cardinals 4/27 11.6 Rogers Hornsby (1896), Allen Sothoron (1893), Hy Myers (1889), Johnny Stuart (1901)
1952 Dodgers 12/13 9.4 Carl Erskine (1926), Billy Loes (1929), George Shuba (1924), Joe Landrum (1928)
1995 Rangers 10/4 5.3 Roger Pavlik (1967), Mark McLemore (1964), Dennis Cook (1962), Billy Hatcher (1960)
2007 Indians 8/30 5.3 Robeto Hernandez (1980), Mike Koplove (1976), Luis Rivas (1979), Cliff Lee (1978)
1990 Indians 10/4 2.3 Chris James (1962), Steve Olin (1965), Mark McLemore (1964), Mike Walker (1966)
1982 Pirates 10/24 -1.4 Rafael Belliard (1961), Junior Ortiz (1959), Reggie Walton (1952), Omer Moreno (1952)

Two things jump out at me about this list. First, Roberto Hernandez was known as Fausto Carmona in 2007, and his birth date was 12/7/1983. This means that we didn’t know this team was a foursome until Hernandez’s real date of birth was discovered in January of 2012. Second, October 4th appears twice on the list. Even more incredible, Mark McLemore was a part of both foursomes. Not only was he versatile enough to play multiple positions, he was also able to make this list twice.

Maddux, Justice, and Avery didn’t make the previous list because they were unable to find a fourth player to join the team. Let’s take a look at players born on the same exact day (year included).

Year Team Birthday WAR Players
1969 Yankees 6/28/1941 -0.1 Al Downing, Fred Talbot, Len Boehmer

It turns out there has only been one team in history with three different players born on the same exact day. Since Talbot was traded to the Seattle Pilots in May, I even checked to see if the trio actually played together. Sure enough, they each played in the same game five different times.

As for pairs of teammates on the same team, there are 375 different instances in Baseball history. Instead of listing all of them, I’ll list those with combined WAR over 7.

Year Team Birthday WAR Players
1995 Braves 4/14/1966 13.4 Greg Maddux, David Justice
1997 Yankees 6/15/1972 10.8 Andy Pettitte, Ramiro Mendoza
1977 Dodgers 4/2/1945 10.6 Reggie Smith, Don Sutton
1977 Angels 7/3/1953 8.2 Frank Tanana, John Verhoeven
1959 Cardinals 6/2/1931 8.1 Larry Jackson, Marshall Bridges
1979 Royals 1/17/1952 8.0 Darrell Porter, Pete LaCock
1894 Phillies 2/16/1866 7.8 Billy Hamilton, Jack Scheible
1975 Cardinals 1/13/1950 7.7 Bob Forsch, Mike Tyson
1997 Braves 4/14/1966 7.6 Greg Maddux, Greg Myers
2011 Blue Jays 10/19/1980 7.3 Jose Bautista, Rajai Davis
1996 Brewers 11/24/1967 7.3 Ben McDonald, Cal Eldred

Maddux and Justice were teammates from 1993-1996. In 1997, Justice was traded to the Indians, but that didn’t’ stop Maddux from finding another teammate. Catcher Greg Myers (also born on 4/14/66) would be a teammate of Maddux’s in 1997 and 1999, meaning the Braves were one year away from inclusion on the previous list.

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