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Saturday, March 29, 2008

Historical SFR

A couple days late in my summary of this week's effort on Baseball Prospectus but this week I ran the Simple Fielding Runs (SFR) system against Retrosheet data from 1988-1998. This was possible without modifying the system since the relevant hit type and fielder data is present for those eleven seasons (in the same ratios as available for 2003 through 2007 for the major leagues and 2005-2007 for the minor leagues).

Although you'll need to read the piece to get all the details, suffice it to say that Ozzie Smith, Cal Ripken, Mark Lemke, Ryne Sandberg, Matt Williams, John Olerud, and Mark Grace all come out looking pretty good as you might expect.

A reader asks, however, how Roberto Alomar and Omar Vizquel look and so here's a look at their complete data calculated for SFR thus far.


Roberto Alomar, 1988-2004 at Second Base
Year Team Age Balls Runners Diff SFR Rate
1988 SDN 20 624 126 8 5.9 1.06
1989 SDN 21 672 153 -4 -2.8 0.98
1990 SDN 22 593 138 -9 -7.2 0.93
1991 TOR 23 744 192 10 7.2 1.05
1992 TOR 24 619 167 -4 -3.3 0.97
1993 TOR 25 650 161 -6 -4.8 0.96
1994 TOR 26 395 101 -3 -1.9 0.97
1995 TOR 27 564 127 2 1.7 1.02
1996 BAL 28 605 130 15 11.1 1.11
1997 BAL 29 383 76 19 14.0 1.25
1998 BAL 30 587 144 15 10.9 1.10
2003 CHA/NYN 35 523 148 -22 -16.7 0.85
2004 ARI/CHA 36 125 37 -6 -4.4 0.84

7083 1699 13 9.6 1.01


Interestingly, while SFR didn't like Alomar much in San Diego and Toronto, it did in his three years in Baltimore. Keep in mind that for infielders SFR does not take into account park effects and that both the shortstop and first baseman have an impact on the second baseman since the system parcels out balls assigned to each via overall distributions. Both of these may play a factor here although I haven't researched Baltimore particularly although I did note that Sean Smith's system incldues a similar disparity. Overall Alomar rates out at +9.6 runs and a rate (computed as the ratio of expected runners reached to actual runners) just above average at 1.01.


Omar Vizquel, 1989-2007 at Shortstop
Year Team Age Balls Runners Diff SFR Rate
1989 SEA 22 557 130 9 6.6 1.07
1990 SEA 23 356 90 0 0.1 1.00
1991 SEA 24 609 152 13 9.5 1.08
1992 SEA 25 656 189 1 1.0 1.01
1993 SEA 26 719 188 3 2.6 1.02
1994 CLE 27 293 70 10 7.3 1.14
1995 CLE 28 570 133 18 13.4 1.13
1996 CLE 29 655 168 5 4.2 1.03
1997 CLE 30 633 142 15 11.2 1.10
1998 CLE 31 656 185 14 10.5 1.08
2003 CLE 36 295 59 14 10.4 1.24
2004 CLE 37 597 159 -3 -2.6 0.98
2005 SFN 38 654 153 13 9.4 1.08
2006 SFN 39 590 147 9 7.0 1.06
2007 SFN 40 639 134 38 28.5 1.29

8478 2097 159 119 1.08


Vizquel is predictably excellent for most seasons and rated highest last year although once again, his third baseman certainy had some influence.

Those interested in this topic should definitely check out Sean Smith's work at The Hardball Times where he expands his TotalZone system and provides lots of interesting results.

Thursday, March 20, 2008

A Common Theme


Coincidentally, the John Dewan stat of the week this week happens to correspond quite nicely with my Schrodinger's Bat column titled "Clearing the Decks" posted today on Baseball Prospectus. John talks about the best bunters of 2007 and in my column I do a little of that in relation to the Tattered Cover book signing that I pariticpated in several weeks ago before moving on to the minor leagues best bunters from 2005 through 2007.

In additon I take a look at the concept of "free bases" recently discussed by Rangers' staff as well as the recent 2008 Scout's Honor Results posted on MLB.com. It's in that section that I revisit the topic of bunting a little and have this to say on the scout's choices in that category.

Best Bunter: Juan Pierre, with Ichiro Suzuki runner-up. Near and dear to the first topic discussed this week. While Pierre is the most prolific bunter over the past six years (320 attempts), his success rate ranks 16th out of the 18 players with 75 or more attempts during that span, with a success rate of 41 percent. Suzuki doesn't bunt nearly as often, but does succeed more frequently at 59 percent in 59 attempts. No, Willy Taveras would clearly be the better choice with Luis Castillo (54 percent in 84 attempts) and Corey Patterson (51 percent in 128 attempts) undoubtedly better as well.

Of course I critique a few of the other choices as well...

Monday, March 17, 2008

Baseball's Trifecta

This article originally appeared on Baseball Prospectus on September 28, 2006.



September 28, 2006

Schrodinger's Bat: Baseball's Trifecta
by Dan Fox

"I think if you come to the ballpark and you see Carl hit a triple, you've had a pretty good day. It's pretty much a signature play for him, because when he hits the ball down the line, or in the gap, he's thinking three. He never thinks two. He breaks triple. He wants triple, he takes triple."

--Devil Rays manager Joe Maddon after Carl Crawford's triple on September 24.

"Hey, big mouth, how do you spell triple?"

--Shoeless Joe Jackson, to a heckling Cleveland fan who taunted him by asking if he could spell "illiterate." This was his response after hitting a triple.

In the bottom of the sixth inning of last Sunday's Yankees/Devil Rays game, Carl Crawford pulled Mike Myers' 1-0 slider into the gap in right-center. The ball skidded past Bobby Abreu, and by the time he retrieved it and hit the cutoff man, both runners had scored and Crawford had coasted into third. It was his 15th triple of the season.

As much as I disdain more or less arbitrary statistical milestones, the hit did draw some attention, since it made Crawford the first player in 76 years to hit at least 15 triples in three straight seasons. In that year, 1930, no fewer than three players were finishing a run of three or more years with 15 triples or more:


1930 1929 1928 1927 1926
---------------------------------------------
Earle Combs 22 15 21 23
Paul Waner 18 15 19 18 22
Charlie Gehringer 15 19 16


By comparison, Crawford hit 19 triples in 2004, 15 last year, and now 15 this season. When asked after the game why he thought it had been so long since a player accomplished the feat, Crawford replied, "There are fast guys in the game who can hit, so I have no clue why guys haven't done it. That's not a stat that you go out and try to do every year. That's a stat that just happens."

Crawford's achievement and his comment provide a springboard for this week's column, where we'll discuss triples and their accompanying historical trends.

Historically Speaking

The simple and somewhat tautological answer to Crawford's consternation regarding the lack of triples is that the triple has become increasingly rare over time. And just as a rising tide lifts all boats, a low tide grounds them. The following graph shows the number of triples per 500 at-bats plus walks for each year from 1901 through 2005:



Notice that, as it did for offense in general, the robust environment of 1930 marked the high point for triples, with 6.8 triples hit per 500 AB+BB. The rate dropped immiediatly thereafter, to 5.7 in 1931 and 1932, and it never again reached as high as 5.3. It now seems to have stabilized at around 2.5.

If there are fewer triples being hit, then it becomes less likely that an individual player will be able to hit 15 in three consecutive seasons. For example, a player who hits 15 triples would have a rate of 12.5 per 500 AB+BB. In 1930, a player who hit triples at 1.8 times the rate of the average player would end up with 15 triples, and eleven of the 73 players with 500 or more AB+BB hit 15 or more triples in 1930. In 2005, however, a 15-triple player would have to hit triples at a rate more than five times that of the average player, and just two players (Crawford and Jose Reyes, who hit 17) out of 140 with 500 or more AB+BB could do that. It should be noted that 2005 was a comparatively good year for three-baggers: since 1992, there have been ten seasons in which no player has hit 15 triples. In contrast, when 10-15% of the players hit 15 or more triples every year, there is a very good chance that one or more of those players will repeat for three consecutive years.

As an aside, the general reduction in triples makes the performance of Cory Sullivan on April 9 even more of a fluke. In the top of the fifth inning, Sullivan hit two triples in a seven-run outburst that helped the Rockies beat Jake Peavy and the Padres 10-4. Those two triples tied a record held by ten others, although most recently accomplished by the Senators' Gil Coan in 1951.

The graph also shows the spike in triples that occurred between the years 1974 and 1980. As you can see, triples had been declining steadily since 1930, reaching a low of 2.72 in 1973. From there they began to climb again, reaching a high point of 3.71 in 1977 before gradually declining to settle back down at the 1973 level by 1986. Note that 1977, like 1930, was a relatively big offensive year, with teams scoring 4.47 runs per game. Offensive levels continued to rise throughout the period, and so it can't simply be chalked up to more hits resulting in more triples. But since there weren't new parks being introduced, and expansion occurred in the middle of the spike and not at its start, it's not obvious what might have caused it the outburst.

At first blush, one might posit that there was a general trend towards valuing speed that began in the early to mid-1970s, as young players like Ron LeFlore, Tim Raines, Willie Wilson, and Omar Moreno began to establish themselves. The increase in stolen bases, however, is more gradual than that for triples, and actually began around 1959 (with the "Go-Go Sox" and Maury Wills playing a large part) with a steeper increase in the mid-1970s that peaked in another year that was good for offense, 1987, as shown in the following graph:



While all of this is interesting, it kind of tiptoes around the answer that Crawford is looking for (he probably doesn't really care, but play along). Although there doesn't appear to be consensus among the analytical community, the following are the theories most often discussed as to why the triple has become relatively rare:


  • Better Fielders. One of the more interesting questions is to consider how the game has changed as the players have become more athletic. Clearly the speed, strength, size and athletic ability of the average professional baseball player in 2005 exceed that of one in 1920. The question is, how does this affect the game and the evaluation of performance? This was recently touched on by Phil Birnbaum on his Sabermetric Research blog, and was the subject of a thought-provoking chapter by Nate Silver in Baseball Between the Numbers.

    As an example of such an effect, the late Stephen Jay Gould argued that a rising level of play inching closer to the "right-wall" of human ability coupled with stabilization of the game itself have conspired to decrease the variability in seasonal batting averages, making it far more difficult to hit .400 now than in years past. The epitome of Gould's argument is that Tony Gwynn had less opportunity than Ty Cobb to exploit the inferiority of others.

    Something like this may be happening with triples as well. The theory is that as fielders have become bigger, faster, and boast better throwing arms, would-be triple hitters have had a more difficult time exploiting their opponents, and thus rack up fewer three-baggers. In addition, the standardization of positioning (including the idea that outfielders played shallower in the past) and cutoffs have added to the difficulty. Although baserunners have also become faster, this theory would argue that the improvement in fielding ability and techniques has outstripped the increase in baserunner speed.

  • Park Configuration. This is a corollary to the first theory. Early in the century, ballpark dimensions were far less standardized than today. For example, the Huntington Avenue Grounds where the Red Sox played from 1901-1911 featured a left-center field fence 440 feet away, and a centerfield wall 530 feet from home plate from 1901-1907, and then at 635 feet starting in 1908. Similarly, the center field fence at Forbes Field was 462 feet away in 1909, and at the Polo Grounds, center field ranged from 430 feet in 1931 to 505 feet in 1949. Don't forget that while these and other ballparks in the two eight-team leagues had one or more long distances, they also had lots of corners and edges that made for unpredictable caroms. All of this adds up to situations which surely allowed hitters more opportunity to leg out triples.

    Over time, standard dimensions (335/375/400/375/335) made their way into the game, diminishing the opportunity for strange bounces and balls rolling towards distant fences with outfielders in hot pursuit. For my money, the combination of this and the first cause probably explain the lion's share of the overall historical trend.

  • Risk Aversion. As mentioned previously, as offensive levels rise, the relative importance of stolen bases decrease. The same reason causes triples to decline in value; the marginal benefit of stretching a double into a triple is lessened as the probability of scoring from second base increases. A quick look at Run Expectancy Matrices from various years would bear this out as well as the graph presented in my column on Win Expectancy. The argument, then, is that as offensive levels have risen over time, triples have decreased as a result of their lessening strategic importance.

    While the premise of this theory is certainly true, one doubts whether calculations like this are taken into account either consciously or subconsciously. More problematic, however, is the fact that runs per game have not increased over time, therefore cutting the legs out from under this theory. Contrary to the steadily downward-sloping line in the first graph, run scoring was actually higher throughout the 1920s and into the early 1930s than at any other time, and after diminishing to reach its low point in 1968 (3.42 runs per game per team), it has steadily increased since then:



  • Player Aging. No discussion of triples would be complete without at least a brief look at the effect of age. As Clay Davenport noted in his essay "Graying the Game" in Baseball Prospectus 2002, and subsequently reinforced by Nate Silver last season, the player population is aging, and has been for quite some time. This has an impact on triples, since older players lose foot speed and don't hit as many as younger ones do. The graph below shows triples per 500 AB+BB for all players since 1901, player-seasons from 1901-1935 and seasons from 1936-2005:



    Even at a time when triples were much more common (the orange line), triples peaked at age 22 and steadily declined through age 40. You'll also notice that the slope of the line for players in the first part of the 20th century is not quite so steep as it is for those since. I also find it very interesting that the slope of the line from ages 22 through 35 for all players is very nearly straight, indicating an extremely uniform decrease with age.

    Clearly, players don't hit as many triples as they get older, but the general aging of the player population cannot account for the overall decrease in triples. Just considering players 25 years old or younger, those who played since 1936 hit triples at a rate of 3.72 per 500 AB+BB, while those who played before 1936 hit them at a rate of 6.73. Keep in mind that it's also very likely that the average speed of players 25 years old and younger in the major leagues today is greater than that in the Deadball Era, meaning that other factors such as fielding prowess and changing park configurations are much more important to the overall trend.


"How do you spell triple?"

The triple is often called the most exciting play in baseball, and for good reason. There is no play that involves as many players, lasts as long, and concludes so often with a bang-bang crescendo. As we've seen, there are a variety of reasons that have conspired to make it a much rarer event today than it was in days past. These include increased standardization and ability on defense, less variability in park dimensions, risk aversion, and perhaps an aging player population. Whatever the combination and relative importance of these different causes, rather than wring our hands at its disappearance, let's instead appreciate the feat for its increased difficulty and marvel at those, like Carl Crawford, who can do it with regularity.

Wednesday, March 12, 2008

Back from the Desert

I returned yesterday from my annual trip to spring training in Arizona and so thought I would post a couple of pictures today. Had a great time hanging out with Ron Hostetter, his brother, and their friend watching baseball of course in addition to taking in a Suns game. Unfortunately for them the Royals lost all three games we saw them play and looked very bad in doing so. Poor defense, poor pitching, and not much hitting to speak of.

Update (3/13): My column this week on Baseball Prospectus titled "Spring Fling" is full of news and notes from four of the camps I visited. From Jason Kendall batting ninth to John Bale's release point to Brian Bannister's quest to beat DIPs, take a look.

This is the first year I visited the Angels camp in Tempe and took in the A's and Angels game on Monday afternoon. It's a beautiful setting and a nice little ballpark.



I believe this is a shot of Daric Barton who homered in the game.



We saw the Cubs play in Surprise on Sunday afternoon and pummel the Royals 13-1. Kerry Wood worked a perfect inning and looked very good touching 98 and showing a nice slider.



I also spent some time at the Rangers camp and in addition to taking in a B-game played against their complex partners the Royals, watched some BP. Here Jarrod Saltalamacchia and Hank Blalock discuss some of the finer points of hiting.



While in the desert I was also able to catch dinner with Christina Kahrl and Kevin Goldstein who were in town for a book signing and several media events. It was great to meet Kevin for the first time.

Once again it was a very successful trip and it's hard to disagree with Ron when he says Surprise is his favorite place on planet earth.

Thursday, March 06, 2008

Facing Clemens


My column this week on Baseball Prospectus is an interview with the author of the new book Facing Clemens: Hitters on Confronting Baseball's Most Intimidating Pitcher, Jonathan Mayo. Some readers I'm sure will recognize the name since Mayo is also a senior writer for MLB.com who typically writes about the minor leagues and can be found all over the place as the draft approaches.

In epitome, Mayo's book is a look at what it's like to compete against Clemens from the perspective of thirteen hitters who faced him at various points in his and their careers. Beginning with Dave Magadan, whose University of Alabama Crimson Tide faced off against Clemens' University of Texas squad in the 1983 College World Series, Mayo takes us all the way through the 2007 season with Torii Hunter's final three--ultimately unproductive--plate appearances that capped his unbroken string of futility. Along the way we hear from Hall of Famers like Cal Ripken Jr. and future member Ken Griffey Jr., star players including Gary Carter, Chipper Jones, and Luis Gonzales, to lesser-known hitters like Daryl Hamilton and Phil Bradley (Clemens' 20th strikeout victim in his 1986 record-setting performance), and finally culminating with the story of minor leaguer Johnny Drennan who homered off of Clemens during the pitcher's minor league stint in 2006 as well as Clemens' son Koby. In all, thirteen players are interviewed and the book includes plenty of interesting anecdotes not only about Clemens but on other topics from the hitters perspective.

Although readers will no doubt read the book in a different light than Mayo had intended, it is an interesting compilation and it was nice of Jonathan to "sit down" with me for the interview.

Tuesday, March 04, 2008

The Phone Books Are In! The Phone Books Are In!



Ok, so it's not quite a Steve Martin moment but I was excited to see this at my local Borders bookstore today. Good stuff.

Oh, and tomorrow night I'll be joining Christina Kahrl and Nate Silver at The Tattered Cover in LoDo to talk about the book and the Rockies. Hope to see you there.

A Rite of Spring


Yes, it is that time of year again and in just a little over 36 hours I'll be touching down in Phoenix to enjoy five glorious days basking in the Arizona sun and thinking, talking, and writing about all things Cactus League.

The photo above was taken at the Rockies training facility in Tucson last spring but alas this spring we won't be venturing that far south. Our path this time around takes us to Peoria (home of the Padres) on Thursday to watch the Rockies take on the Padres, to Surprise to see the Rockies play the Royals on Friday (and a Suns game in the evening), to Maryvale to take in the Royals and Brewers on their home turf on Saturday, back to Surprise for the Cubs and Royals on Sunday, a swing over to Tempe for the Angels and A's on Monday, and finally a quick stop in Mesa to take in some workouts on Tuesday before heading home. Shoot me an email if you're going to be around at any of those venues, it's always great to kibitz with like-minded fans while taking in the games.

My column next week on Baseball Prospectus will likely detail the happenings in the various camps so stay tuned.

Monday, March 03, 2008

VORPies and Scrappers

Here are a couple of by now dated but still interesting articles...

  • Cubs' Theriot measures success in different ways. Bruce Miles talks about Ryan Theriot and how he's never been a numbers guy and how numbers don't tell the entire story etc. Personally, I like this article and couldn't agree more with the author. Miles mentions that Baseball Prospectus PECOTA has Theriot projected for an OBP of .330 and quotes Theriot as saying:

    I'm going to give everything I've got. And I'm not afraid to fail. I think I'll do what it takes to do something great and help the team win. I take pride in my defense. Either you've got to drive them in or you've got to save a run.

    I think it's easier for me to save them than drive them in. I'm realistic about my game. I think I know what I can and can't do. I know my limitations.

    Offensively Theriot played very well until a September slump which could be attributed both to a little fatigue in his first full season or an indication that the league has caught up with him. It'll be interesting to see if either of those play out in 2008. Defensively SFR had Theriot at +4.8 at short in 2007 (399 balls assigned) and +2.3 at second base (100 balls). At third he was -0.8 in a really small sample (15 balls). SFR also had him at +0.7 in 2006 at second base (101 balls) and so overall defensively, and although Theriot's not a number's guy, I'd have to say that the numbers agree that he can help the team win with his glove. Incidentally, SFR had Brian Roberts at +7.6 in 2007, +1.2 in 2006, and -1.2 in 2005 at second base.


  • VORPies?. I'm still trying to figure out just what a "VORPy" is but Jon Heyman tweaks them a little in discussing Jimmy Rollins and his MVP award in 2007. But again, this article to me makes some good points including the ideas that Rollins should get a little boost over David Wright because of his defense (and playing a more difficult position) and baserunning but of course all of these things can be quantified. Wright's VORP was 81.1, Rollins was 66.1 and these numbers as Heyman rightly points out are park adjusted. So was Rollins 15 runs better on defense and baserunning? SFR has Rollins at +5.0 and Wright at +3.2 and so Rollins makes up a little there. On the bases Rollins was at +7.2 and Wright at +2.5 and so there's another few runs which when combined with his defense essentially allows Rollins to make up about half the difference. But the MVP is not all about numbers either and winning and leadership, I think, should definitely matter. In the end, when you factor these things in it seems to me like these guys are in the same vicinity and so it's not as if Rollins was a really poor choice. Matt Holliday, with his 75.0 VORP and pretty decent defense in 2007 should no doubt also have been considered. And by the way, Heyman talks about Hanley Ramirez a little whose 89.5 VORP led all National Leaguers. I had him at +1.8 in baserunning but at -17.5 runs with the glove in SFR. By all accounts his defense really is poor and so it comes off as kind of disingenuous for Heyman not to mention that. But on the topics of the Gold Glove and Rookie of the Year...well, don't get me started.
  • Friday, February 29, 2008

    Chat Transcript 2/29

    Thanks to everyone who spent a few minutes chatting this morning. Some really great questions (if a little Yankee heavy) and believe me, if other things weren't pressing I would have preferred to go on for most of the afternoon.

    Wednesday, February 27, 2008

    Chat 2/29

    Just a quick note that I'll be chatting at Baseball Prospectus.com on Friday February 29th at 11 AM Mountain time. I've never chatted on "leap day" before so this should be fun :)

    Seriously, if you have questions around my essays in Baseball Prospectus 2008 on baserunning and throwing arms or anything else that interests you, please submit them early as that always provides you with better answers.

    Monday, February 25, 2008

    WWBD?

    In a new column on Baseball Prospectus I ask the question on every one's mind, "What Would Bacon Do?" (WWBD?).

    No, not Kevin Bacon but Sir Francis Bacon the English philosopher and statesman. The question of course is what would Bacon think of Derek Jeter's defensive ability and the recent hub-ub surrounding it. Using Bacon's new-fangled inductive method of reasoning and his "idols" construct for categorizing the frailties of human reasoning, we come to a conclusion regarding The Captain. Enjoy.

    Sunday, February 24, 2008

    Baserunning for the Ages


    I've been writing mostly about defense over at Baseball Prospectus and here in the past couple of months and so I thought I'd revisit the topic of baserunning today.

    Although in my column I talked about the greatest baserunners of the Retrosheet era and here have extolled the virtues of Tim Raines, Robin Yount and others, I noticed that I've failed in either venue to list the top and bottom single seasons of that era.

    So today here are the top and bottom 50 baserunning seasons in terms of total Equivalent Baserunning Runs (EqBRR). And don't forget that an essay describing the system and its metrics titled "The Tortoise, the Hare, and Juan Pierre" appears in Baseball Prospectus 2008, which I'm told, is shipping now. Also, I'll be talking about the book with Christina Kahrl and Nate Silver Wednesday, March 5th at 7:30 pm at the Tattered Cover Bookstore in Historic LoDo in Denver.

    First, the top 50 seasons.


    Name Year EqGAR EqSBR EqAAR EqHAR EqOAR TotOpps EqBRR EqBRRate
    Maury Wills 1962 0.8 13.8 2.3 3.6 0.1 848 20.6 1.26
    Willie Wilson 1980 0.5 10.0 4.2 3.9 0.5 741 19.1 1.35
    Rickey Henderson 1985 2.6 9.8 1.0 3.1 2.3 663 18.8 1.43
    Vince Coleman 1986 0.0 11.0 0.3 0.9 4.2 627 16.4 1.26
    Willie Wilson 1979 2.1 9.2 0.7 2.8 0.9 563 15.7 1.33
    Eric Davis 1986 -0.3 10.2 0.5 1.7 3.2 403 15.3 1.55
    Rickey Henderson 1988 2.3 9.0 1.3 -2.0 3.8 650 14.4 1.27
    Vince Coleman 1987 2.5 7.1 1.2 2.4 0.8 723 14.1 1.28
    Tim Raines Sr 1983 0.9 7.6 1.8 2.7 0.6 762 13.6 1.22
    Bobby Bonds 1972 2.0 6.0 1.6 3.6 0.5 517 13.6 1.42
    Kenny Lofton 1993 1.5 8.1 -0.1 4.3 -0.5 717 13.3 1.17
    Lonnie Smith 1985 2.8 1.4 2.5 2.9 3.1 460 12.8 1.85
    Willie Wilson 1987 0.4 7.1 0.6 3.9 0.7 581 12.6 1.24
    Juan Pierre 2007 0.3 4.2 1.9 5.0 0.6 666 12.0 1.40
    Davey Lopes 1978 0.6 5.8 1.9 1.4 2.1 580 11.8 1.24
    Vince Coleman 1985 1.2 10.7 0.7 0.6 -1.4 665 11.8 1.06
    Rickey Henderson 1983 0.9 7.8 1.3 0.1 1.6 609 11.7 1.17
    Gary Pettis 1985 2.1 7.4 0.7 0.2 1.3 470 11.7 1.31
    Johnny Damon 2000 3.1 2.7 -0.7 4.2 2.2 743 11.5 1.33
    Ron LeFlore 1979 2.3 5.6 1.3 1.9 0.4 602 11.5 1.30
    Davey Lopes 1975 0.4 8.6 -1.3 2.2 1.4 685 11.4 1.14
    Barry Larkin 1995 1.3 5.5 1.2 1.3 1.9 526 11.2 1.31
    Tim Raines Sr 1985 1.6 9.4 0.8 -0.6 0.0 726 11.2 1.08
    Willie Wilson 1983 1.9 7.0 -0.6 1.4 1.5 532 11.2 1.24
    Ivan DeJesus 1978 1.0 2.2 1.7 4.5 1.7 625 11.1 1.38
    Hanley Ramirez 2006 3.1 1.7 1.3 3.5 1.5 576 11.0 1.50
    Joe Morgan 1975 0.8 6.3 0.9 2.0 0.9 618 10.8 1.27
    Ron LeFlore 1980 0.1 11.0 0.3 -0.1 -0.5 611 10.7 0.99
    Tim Raines Sr 1987 -0.5 7.2 0.3 2.5 0.9 567 10.4 1.17
    Ray Durham 1998 1.2 2.0 1.8 3.6 1.8 611 10.4 1.37
    Juan Pierre 2005 3.6 1.7 -0.3 2.5 2.9 665 10.4 1.43
    Chone Figgins 2005 4.4 0.7 1.9 2.5 0.8 619 10.3 1.43
    Marquis Grissom 1992 -0.3 6.5 2.1 0.1 1.8 567 10.2 1.19
    Rickey Henderson 1984 0.9 2.4 2.1 3.9 0.9 599 10.2 1.31
    Tim Raines Sr 1982 3.3 5.7 -0.2 1.2 0.1 626 10.1 1.25
    Tim Raines Sr 1992 0.3 5.3 1.5 3.0 0.1 669 10.1 1.24
    Al Wiggins 1983 0.3 4.1 0.9 0.4 4.4 582 10.0 1.29
    Bert Campaneris 1969 1.3 5.8 -0.5 2.5 0.8 565 9.9 1.29
    Kenny Lofton 1994 1.7 4.5 -1.1 3.4 1.4 574 9.9 1.23
    Ron LeFlore 1978 2.3 5.2 0.6 2.3 -0.6 720 9.9 1.20
    Chone Figgins 2006 2.1 0.8 1.6 4.9 0.4 577 9.9 1.48
    Omar Moreno 1979 1.5 3.8 0.7 3.0 0.8 619 9.8 1.29
    Scott Podsednik 2003 1.8 4.6 1.0 3.2 -0.6 542 9.8 1.34
    Joe Morgan 1976 0.1 5.5 0.4 2.7 1.0 504 9.7 1.28
    Tom Goodwin 2000 1.0 3.9 1.3 2.9 0.5 445 9.7 1.37
    Milt Cuyler 1991 0.9 3.1 2.0 0.8 2.8 438 9.7 1.47
    Davey Lopes 1976 0.6 7.3 0.5 1.7 -0.5 508 9.7 1.12
    Willie Wilson 1984 1.7 5.1 2.1 0.8 -0.1 530 9.7 1.24
    Tony Gwynn 1987 0.3 2.0 1.4 3.5 2.3 682 9.6 1.36
    Luis Castillo 2007 1.0 0.6 1.1 3.1 3.8 528 9.6 1.51


    As you can probably tell most of these top 50 are driven by high EqSBR scores with Maury Wills 1962 season at the top of the heap. There were a few players though, like Lonnie Smith in 1985 who excelled despite pedestrian work stealing bases. Related to that point you'll also notice that the final column we have a rate statistic titled EqBRRate. I explained the idea behind it in the column cited above.

    ...it turns out that when many folks talk about baserunning, they're not really thinking about discretionary stolen base attempts, but instead that combination of speed, risk taking, and judgment that goes into evaluating situations, and that when aggregated leads us to assert that a particular player is a good baserunner. Since EqSBR is primarily comprised of stolen base attempts (with a few pickoffs thrown in) our new rate statistic, which we'll christen Equivalent Baserunning Rate (EqBRRate), will omit this aspect.

    So...we'll define EqBRRate as the ratio of actual or total runs to expected runs contributed across the four remaining metrics. Since both values for individual opportunities consider the context and are weighted appropriately (an EqOAR opportunity has both a lower expected and usually actual run value associated with it than an opportunity of EqHAR) and since we're eliminating EqSBR, both weaknesses discussed above addressed. To illustrate how this works, let's consider Chone Figgins' 2007 season:


    Metric Opps TotRuns ExpRuns
    EqOAR 314 0.1 1.2
    EqGAR 31 3.2 2.6
    EqAAR 44 5.7 4.7
    EqHAR 53 10.1 5.6
    442 19.0 14.2


    Taking the context of the opportunities into account, we would have expected Figgins to net +14.2 runs across the four metrics, but he actually contributed +19.0 runs. When we divide the total by the expected we get a ratio of 1.34, indicating that he contributed, or manufactured if you will, 34 percent more runs than expected.
    So as you can see Smith's 1985 season actually comes out on top with a EqBRRate of 1.85 easily topping the 1986 season of Eric Davis at 1.55. The lowest rate out of the top 50 is Ron LeFlore's 1980 season where he was actually below 1.00 at 0.99 but made the top 50 by virtue of his 11.0 EqSBR.

    And now the bottom 50...


    Name Year EqGAR EqSBR EqAAR EqHAR EqOAR TotOpps EqBRR EqBRRate
    Carlos Delgado 2007 -0.4 -0.2 -2.9 -3.6 -0.4 394 -7.5 0.41
    Jose Offerman 1992 0.5 -4.9 -1.3 -1.1 -0.7 505 -7.5 0.86
    Eddie Murray 1990 -1.2 -4.2 0.2 -3.5 1.1 521 -7.5 0.82
    Scott Cooper 1994 0.1 -2.3 -0.4 -5.2 0.3 306 -7.5 0.45
    Rick Wilkins 1996 -0.4 -1.7 -1.3 -4.3 0.2 264 -7.6 0.41
    Pat Burrell 2005 -0.5 -0.2 -0.7 -5.6 -0.7 368 -7.6 0.42
    Randy Milligan 1991 -0.5 -3.7 -0.5 -2.1 -0.8 414 -7.6 0.67
    Manny Trillo 1982 -0.1 -4.1 -1.9 -1.9 0.3 430 -7.6 0.72
    Larry Sheets 1988 -0.7 -4.3 -0.8 -1.8 -0.2 286 -7.7 0.58
    Bill Freehan 1971 -1.1 -3.1 -1.8 -1.7 -0.1 331 -7.8 0.43
    Dave Parker 1977 -0.4 -6.4 -0.9 0.7 -0.8 531 -7.8 0.93
    Jorge Posada 2007 -1.3 -0.1 -0.7 -4.2 -1.6 507 -7.8 0.59
    Ted Simmons 1975 -1.5 -1.7 0.3 -4.8 -0.2 573 -7.9 0.72
    Ed Bailey 1963 0.0 -3.9 -0.4 -3.3 -0.4 231 -7.9 0.35
    Gene Richards 1982 -1.3 -4.8 0.0 -2.0 0.1 455 -8.0 0.81
    Jim Thome 2004 -0.5 -1.4 -3.2 -3.2 0.3 436 -8.0 0.59
    David Justice 1997 -0.7 -3.3 -0.3 -3.0 -0.7 398 -8.0 0.61
    Dan Meyer 1977 -0.9 -2.0 -1.3 -4.6 0.7 409 -8.1 0.60
    Jim Norris 1977 -0.1 -3.8 0.2 -2.9 -1.5 447 -8.1 0.73
    Felix Jose 1991 -1.8 -3.5 -2.5 0.7 -1.0 482 -8.1 0.62
    Lance Parrish 1979 0.0 -3.7 -2.6 -1.5 -0.4 361 -8.1 0.62
    Steve Garvey 1980 -0.4 -5.5 -0.9 -0.8 -0.6 467 -8.1 0.78
    Steve Henderson 1983 0.2 -7.5 0.6 -0.7 -0.8 362 -8.2 0.93
    Carlos Delgado 2000 -0.6 -1.4 -1.4 -3.6 -1.1 618 -8.2 0.58
    Al Oliver 1977 -0.1 -7.0 -0.2 -0.1 -0.8 474 -8.2 0.88
    Tom Foley 1988 -0.1 -4.4 -0.4 -1.6 -1.7 279 -8.3 0.53
    Dale Berra 1984 1.2 -2.8 -0.9 -5.2 -0.7 297 -8.4 0.57
    Tommy McCraw 1972 -0.5 -5.9 -1.5 -0.5 0.0 299 -8.4 0.76
    Joe Cunningham 1959 -0.8 -2.3 0.4 -5.3 -0.4 504 -8.5 0.60
    Pete O'Brien 1984 -0.4 -3.1 -1.4 -2.9 -0.6 428 -8.5 0.52
    Kenny Lofton 1997 0.4 -9.4 -0.1 0.6 0.0 539 -8.5 1.06
    Frank Thomas 2000 -1.0 -1.6 -1.6 -3.4 -1.0 535 -8.6 0.47
    Harold Reynolds 1988 -0.7 -7.8 1.0 -1.2 0.0 535 -8.7 0.95
    Eddie Yost 1957 0.3 -5.4 -0.9 -2.8 0.0 394 -8.7 0.62
    Joe Morgan 1980 -0.2 -2.0 -0.3 -6.5 0.3 434 -8.8 0.55
    Clete Boyer 1970 0.6 -1.6 -0.2 -6.9 -0.8 307 -8.8 0.21
    Ed Kranepool 1967 -0.8 -1.9 -0.1 -5.7 -0.4 323 -8.8 0.39
    Mike Hargrove 1979 -1.8 -2.3 -0.2 -4.2 -0.5 522 -8.8 0.69
    Jose Cruz 1977 -0.1 -8.3 0.5 -1.3 0.3 483 -8.9 0.95
    Ernie Whitt 1989 -1.4 -1.0 -1.7 -4.0 -0.9 313 -9.0 0.34
    Harmon Killebrew 1970 -0.8 -2.1 -0.7 -4.6 -1.0 435 -9.0 0.56
    Tom Pagnozzi 1991 -1.5 -4.8 -0.7 -1.5 -0.8 391 -9.3 0.61
    Bob Kearney 1984 -0.1 -2.6 -2.0 -3.8 -0.9 290 -9.4 0.29
    Ryan Garko 2007 -1.0 -0.4 0.2 -7.7 -0.5 403 -9.4 0.32
    Rod Carew 1982 0.1 -5.5 -0.2 -3.2 -0.7 558 -9.5 0.71
    Tom Brunansky 1992 -0.6 -3.1 -1.8 -3.4 -0.7 373 -9.6 0.43
    Todd Zeile 1997 -0.5 -4.8 0.0 -4.5 -0.4 484 -10.2 0.64
    Mike Epstein 1971 -0.2 -2.5 -2.4 -4.4 -1.1 311 -10.6 0.38
    Todd Zeile 1992 -0.7 -4.0 -1.1 -5.4 0.0 425 -11.2 0.52
    Tony Bernazard 1984 -0.1 -6.9 -0.3 -3.4 -0.6 364 -11.2 0.62


    There are some real "ice wagons" here (in the parlance of the dead ball era referring to poor baserunners) of course although many of these as well are here because they did so poorly in EqSBR (Tony Bernazard, Jose Cruz, and Kenny Lofton are three notable examples). The Indians Ryan Garko makes the list with his 2007 campaign primarily because he was thrown out trying to advance on hits five times - all at the plate - on his way to an historic -7.7 runs on EqHAR.

    From a pure baserunning perspective Clete Boyer with his 1970 campaign ranks dead last at 0.21 with Bob Kearney in 1984 at 0.29 and Garko close behind. Lofton's 1997 season is the only one with a rate of 1.00 or higher at 1.06 but his EqSBR of -9.4 sinks him.

    Thursday, February 21, 2008

    Maybe He is but Maybin He Isn't?

    Today in my column on Baseball Prospectus I take a look at minor league outfielders using the SFR system. As I've done previously I take a look at the leaders and trailers at all levels before aggregating across all positions and leagues to list the best and worst defenders in the outfield among minor leaguers in 2007.

    In addition, I examine Baseball America's top outfield and infield defenders published in their Baseball America Prospect Handbook for 2008 and compare them to what SFR thinks. From an overall perspective the subjective and objective systems largely agree although Marlins top prospect Cameron Maybin is one of the few players on which the two approaches seem to disagree violently. Maybin fared poorly across all hit types in his 70 games in centerfield while at Lakeland and overall including his time in the Eastern League ended up at -15.4 runs on 421 balls fielded. It certainly is the case that the smaller sample sizes in the minor league seasons tend to make the results less reliable than for major leaguers but still, I was somewhat surprised given the glowing assessments by so many. If there are any fans out there who've watched him play in person I'd be interested in hearing what you think.

    And as always a spreadsheet is now available with all 4000+ player, position, and league combinations.

    Tuesday, February 19, 2008

    Baseball Research Journal vol 36

    As talked about in a previous post the Baseball Research Journal volume 36 containing the article by Neal Williams and myself on quantifying third base coaches is now available.

    One of the articles you may want to check out is "An Analysis of the Gyroball" by Alan Nathan and David Baldwin wherein they do an analysis similar to the one I did back in July in my Schrodinger's Bat column (no subscription required).

    For those who are not SABR members copies of the Baseball Research Journal 2007 can be ordered from the University of Nebraska Press, 1-800-755-1105 (U.S. Orders), or http://www.nebraskapress.unl.edu.

    Monday, February 18, 2008

    The Captain

    What everyone knew already but that is now gaining a little mainstream press.

    Derek Jeter is not a good defensive shortstop.

    The above revelation is a part of the presentation that Shane Jensen and colleagues gave in discussing his Spatial Aggregate Fielding Evaluation system or SAFE at a recent AAAS meeting in Boston.

    Of course, as is typical, the popular press (the Popular Science article) gets the details wrong and attributes Defensive Efficiency Ratio (DER) to David Pinto instead of his system called Probabilstic Model of Range (PMR).

    Thursday, February 14, 2008

    Defending in the Wide Open Spaces

    Today in my column on Baseball Prospectus I officially roll out version 1.0 of Simple Fielding Runs (a defensive system based only on Retrosheet-style play by play codes) for the outfield after doing the same for infielders back in January.

    For those who read the column a couple weeks ago where I re-did the methodology to follow a more WOWY (with-or-without-you-approach), nothing has really changed with the algorithm but this time around I break outfield SFR into its underlying components by hit type, develop a rate statistic, take a look at how SFR compares to the Plus/Minus system at the level of teams, incorporate the throwing metric that is discussed in an essay in Baseball Prospectus 2008, and finally create some plots for 2007 outfielders that juxtaposes their general defense as rated by SFR and their throwing ability both using rate statistics.

    As a preview of this latter point consider the following plot for 2007 center fielders where SFR rate (per 650 balls fielded) is shown on the y-axis and throwing rate (per 550 opportunities) is shown on the x-axis. Each outfielder is then placed in one of four quadrants. Those in the upper right quadrant are both good fielders and throwers (Alfredo Amezaga), moving clockwise we see good throwers but poor fielders (Bill Hall, Elijah Dukes), poor throwers and poor fielders (Juan Pierre), and finally ending with good fielders but poor throwers in the upper left (Johnny Damon, Nook Logan).



    The full article contains the plots for all positions.

    Oh, and all the major league data from 2003 through 2007 is available in spreadsheet form (and that includes the throwing data).

    Sunday, February 10, 2008

    Tigers on the Run

    A kind soul points out to me that Lee Panas over at Tiger Tales takes a look at the 2007 Tigers in terms of their baserunning. To augment his post I thought I'd offer the entire Tigers team in terms of the five baserunning metrics I created.

                         Opps  EqGAR   Opps  EqSBR   Opps  EqAAR   Opps  EqHAR   Opps  EqOAR   Opps  EqBRR
    Curtis Granderson 43 0.6 28 4.1 60 -0.1 74 2.2 426 -0.6 631 6.2
    Gary Sheffield 16 -0.2 28 0.7 41 0.6 44 2.3 249 1.5 378 4.9
    Ryan Raburn 6 0.1 2 0.3 4 0.4 17 0.6 79 0.7 108 2.1
    Omar Infante 11 0.2 5 0.3 13 -0.2 14 0.1 107 0.6 150 1.0
    Cameron Maybin 2 -0.2 5 0.8 1 0.0 3 0.4 26 -0.1 37 1.0
    Marcus Thames 5 0.0 3 -0.2 11 0.1 15 1.2 97 -0.4 131 0.7
    Placido Polanco 25 -0.3 10 0.4 49 -1.9 67 1.3 423 1.3 574 0.6
    Timoniel Perez 9 0.1 2 -0.1 5 0.1 10 0.2 58 0.1 84 0.3
    Brandon Inge 24 0.7 11 0.4 35 0.1 37 -1.1 257 0.1 364 0.2
    Ramon Santiago 4 0.4 4 0.3 5 0.1 8 -0.6 47 -0.2 68 0.0
    Mike Maroth 0 0.0 0 0.0 0 0.0 0 0.0 3 0.0 3 0.0
    Jeremy Bonderman 0 0.0 0 0.0 0 0.0 0 0.0 6 0.0 6 0.0
    Brent Clevlen 0 0.0 0 0.0 0 0.0 0 0.0 7 0.0 7 0.0
    Mike Hessman 2 0.0 0 0.0 1 0.0 4 -0.1 20 -0.1 27 -0.2
    Neifi Perez 1 0.0 0 0.0 5 0.0 3 -0.1 30 -0.1 39 -0.2
    Carlos Guillen 31 -0.5 22 -1.5 42 0.4 40 1.6 285 -0.4 420 -0.5
    Craig Monroe 15 -0.6 3 -1.1 11 0.0 30 0.4 115 -0.4 174 -1.6
    Magglio Ordonez 39 0.5 4 0.0 49 -1.1 58 -0.8 409 -0.8 559 -2.2
    Sean Casey 19 -0.2 4 -0.7 34 0.2 24 -1.5 240 -0.1 321 -2.2
    Ivan Rodriguez 23 0.1 4 -1.0 33 0.1 38 -0.9 245 -0.6 343 -2.3
    Mike Rabelo 10 -0.5 1 -0.4 9 -0.1 9 -1.0 92 -0.3 121 -2.3

    285 0.1 136 2.1 408 -1.2 495 4.1 3221 0.3 4545 5.4


    Keep in mind that the data Lee shows is really a subset of the EqHAR (Equivalent Hit Advancement Runs) shown here but as Lee points out Gary Sheffield did well in 2007 as did Guillen, Palanco, and Monroe.

    Statistical Profiling?

    As always Alan Schwarz has an interesting piece in the New York Times, this time around on the topic of using statistics as a benchmark for increased testing for performance enhancing substances. The idea, floated by Representative Mark Souder, an Indiana Republican, is that by comparing actual statistical performance to the player's history and performance projected on the basis of an "average" or typical career path, major league baseball would flag certain players as more likely to be users of performance enhancing drugs. Those players would be tested more frequently or more closely I assume until they passed some criteria where their new performance level is accepted as legitimate.

    Schwarz then goes through the litany of reasons why such "statistical profiling" would likely be futile ranging from the inherent variability in career path for any particular player, to the problem of what one would measure to try and catch such anomalies, to the fact that the current evidence stemming from the Mitchell report is inconclusive at best.

    In the piece, however, he points to the similarities in the careers of Hank Aaron and Barry Bonds as evidence for why the first point above makes it unrealistic to use career paths as a measure.

    Using my unsophisticated projection system for projecting Normalized OPS (a park adjusted and league adjusted OPS taking into account a three year weighted average regressed to the mean, age and league adjusted), here are the two career mentioned above.






    To me, what's interesting about these two is that in the case of Aaron it certainly is true that he had his most productive season at age 37 and his fourth most productive at age 39 with a nice year thrown in at age 35. However, these were interspersed with seasons at ages 36, 38 and 40 that were pretty much what a projection system would indicate. Essentially Aaron had a very slight decline phase with some excellent seasons interspersed.

    Bonds, however, had his four best seasons by a large margin at the consecutive ages of 36, 37, 38, and 39. Clearly this indicates that he established a new performance level that was around 25% higher than his established level from ages 29 through 34. I'm certainly not saying that I would agree with Souder that this kind of profiling should be the sole criteria used to trigger a more stringent testing regime for specific players. However, it certainly seems reasonable that statistics could be included in the set of criteria used to determine whether enhanced testing is warranted (assuming that the general concept of this second level is even accepted). In the case of Bonds, his associations and suspicions of club officials, physical appearance, and performance on the field should have combined to tip the balance in favor of increased scrutiny.

    Of course it's also true as Schwarz indicates that just what statistics would be used would be problematic. Here we're looking at overall productivity but intertwined in OPS is both a measure of power (which is usually argued as the tell tale sign of steroid use but is more problematic when looking at other substances like human growth hormone) and patience. For Bonds, both components increased greatly as his power scared the daylights out of opposing teams to the extent that they would walk or pitch around him any time a runner was on base. There's no reason to believe that would necessarily be the case as a general rule.

    For Aaron there were (ostensibly) no other circumstances that raised red flags and so on the strength of his career path alone that kind of scrutiny wouldn't be warranted. The reason, as Schwarz articulates, is that career paths do indeed vary significantly. For example, consider the case of Carlton Fisk.



    Fisk showed a steady decline from his age 26 season through age 34 and then had a resurgent age 35 season in 1983 with the White Sox. After continuing the decline through age 39 he suddenly enjoyed three consecutive seasons at productivity levels he hadn't seen since his mid-20s albeit doing so in fewer plate appearances.

    And then of course there are those players about whom there are whispers but no actual evidence coupled with a career path that could be interpreted in both ways. A case in point is Sammy Sosa.



    Sosa's rise is a little earlier starting at age 29 and maxing out at age 32 and there is also other evidence including a changed approach at the plate under the tutelage of Jeff Pentland and certainly enhanced weight training (with the use of creatine); all of the above making it more than a little dicey to base enhanced testing on the statistical record alone.

    With that said, the case is a little more convincing when looking at Mark McGwire.


    Like Bonds, his established level of performance jumped at a rather late age (31) and was sustained through age 36 (at age 29 he had just 112 plate appearances and .333/.427/.726). If this kind of increase were coupled with allegations by former teammates and the use of the steroid precursor androstenedione (although legal at the time), then it just may rise to the level that Souder is talking about. It should be noted, though, that Jose Canseco did not (as far as I know) finger McGwire or anyone else while McGwire was still active although from the Mitchell report it is clear that both Tony LaRussa and Dave McKay (and possibly Sandy Alderson although he denies it) knew that Canseco was using steroids and did not report it. Had they done so, it should have cast suspiscion on McGwire's 1996 and 1997 performances while still with the A's.

    In the final analysis while I believe that statistics could by one data point in a much more complex evaluation system, they should not be used blindly like Souder seems to be indicating. Baseball, like other human activities, is simply too dynamic and there are too many interacting variables in play to warrant that kind of simplistic system.

    Thursday, February 07, 2008

    Baseball's Toughest Division

    Which division is baseball's toughest?

    Well, if you listen to the media you'll no doubt respond that the AL Central is clearly the toughest division in baseball. Having heard that so often in the past couple months in the wake of the Tigers deal for Dontrelle Willi and Miguel Cabrera and the Johan Santana trade last week, I decided to take a look based on the actual performance of the divisions in intradivisional play as well interleague results stretching back to 1997. The end result is discussed this week in my column at Baseball Prospectus.

    In the second half of the column I take a look at the simple projection system I created and wrote about several months ago. This time around I have it project into the future and show the top 2008 projections in terms of Normalized and Park Adjusted OPS. From there I take a look at the where the projections differ the most as well as the track record in graphical form of the projections for Magglio Ordonez, Alex Rodriguez, Andruw Jones, Torii Hunter, Gary Sheffield, and Ken Griffey Jr. Enjoy.

    The Traffic Directors Addendum

    By now SABR members should have received their copies of volume 36 of The Baseball Research Journal. For me receiving the journal in large part pays for the cost of the SABR membership as there are always more than a few interesting articles to peruse. Although I haven't read the entire journal yet the articles on strategy in Japanese baseball (titled "The Evolution of Japanese Baseball Strategy") by Robert K. Fitch and "A Manifesto for Defensive Baseball Statistics" by Dr. Jon Bruschke certainly caught my eye.

    This year, however, I have another reason to be interested with the inclusion of an article by Neal Williams and me titled "The Traffic Directors". Some readers will be familiar with this topic since an online version of the article appeared in two parts last spring over on Rich Lederer's Baseball Analysts site. And so if you don't get the journal you can read about the methodology there.

    In presenting the article to a group of SABRites here in Colorado a few weeks ago I went back and took a look 2007 data and at the rest of the data set that Neal had collected in response to a few questions by those assembled.

    First, let's take a look at the 2007 third base coaches ordered by ratio.


    Coach Non-Coach
    Year Team Coach Opps OA EqHAR ExHAR Rate Opps OA EqHAR ExHAR Rate Ratio
    2007 BOS DeMarlo Hale 240 6 0.4 47.0 1.01 450 9 -10.8 45.0 0.76 1.33
    2007 COL Mike Gallego 266 4 8.5 62.2 1.14 429 12 -3.4 44.3 0.92 1.23
    2007 HOU Doug Mansolin 230 8 -5.0 50.9 0.90 349 4 -8.1 32.5 0.75 1.20
    2007 DET Gene Lamont 299 6 5.5 53.4 1.10 412 7 -2.7 43.0 0.94 1.18
    2007 ATL Brian Snitker 245 5 1.8 50.3 1.04 400 4 -4.1 37.3 0.89 1.16
    2007 TBA Tom Foley 229 2 4.0 45.1 1.09 386 6 -0.5 39.7 0.99 1.10
    2007 SEA Carlos Garcia 246 3 2.5 55.0 1.05 476 9 -2.4 49.9 0.95 1.10
    2007 SFN Gene Glynn 221 3 1.3 40.1 1.03 365 10 -2.1 40.2 0.95 1.09
    2007 SDN Tim Flannery 197 5 3.3 44.0 1.07 347 6 -0.2 34.5 1.00 1.08
    2007 MIL Nick Leyva 182 4 0.0 40.5 1.00 301 5 -1.7 33.1 0.95 1.06
    2007 NYN Sandy Alomar 217 3 -0.2 49.6 1.00 359 11 -1.7 36.6 0.95 1.04
    2007 PHI Steve Smith 263 8 -1.3 52.7 0.98 359 8 -2.0 38.2 0.95 1.03
    2007 CLE Joel Skinner 235 6 0.1 55.0 1.00 391 6 -0.7 40.8 0.98 1.02
    2007 ANA Dino Ebel 291 6 4.8 49.5 1.10 397 11 3.9 40.5 1.10 1.00
    2007 KCA Brian Poldber 219 4 4.6 47.7 1.10 357 8 3.0 30.8 1.10 1.00
    2007 OAK Rene Lacheman 242 4 -2.7 50.8 0.95 370 7 -1.9 39.5 0.95 0.99
    2007 SLN Jose Oquendo 271 8 -1.0 48.5 0.98 387 7 -0.5 35.5 0.98 0.99
    2007 NYA Larry Bowa 309 3 2.3 62.2 1.04 413 8 3.4 46.3 1.07 0.97
    2007 LAN Rich Donnelly 258 5 3.4 49.9 1.07 419 5 4.7 42.0 1.11 0.96
    2007 FLO Bo Porter 209 4 -4.2 39.4 0.89 361 7 -1.5 35.1 0.96 0.94
    2007 PIT Jeff Cox 227 4 -1.7 45.5 0.96 375 6 1.8 44.5 1.04 0.92
    2007 ARI Chip Hale 172 6 -2.9 42.5 0.93 336 8 1.7 31.7 1.05 0.89
    2007 BAL Juan Samuel 231 4 -5.6 48.4 0.88 397 8 0.3 40.1 1.01 0.88
    2007 CHA Razor Shines 194 5 -1.2 39.9 0.97 304 5 3.0 28.2 1.11 0.88
    2007 TOR Brian Butterf 208 7 -6.6 38.7 0.83 374 9 -1.7 38.0 0.96 0.87
    2007 CHN Mike Quade 241 6 -1.6 49.5 0.97 386 8 5.3 41.6 1.13 0.86
    2007 MIN Scott Ullger 236 9 0.2 50.7 1.00 388 6 5.9 33.8 1.17 0.86
    2007 CIN Mark Berry 209 8 -8.9 49.3 0.82 363 8 -1.3 38.1 0.96 0.85
    2007 WAS Tim Tolman 203 7 -4.7 41.4 0.89 347 4 2.2 35.6 1.06 0.84
    2007 TEX Don Wakamatsu 216 4 5.0 44.9 1.11 362 3 12.2 34.0 1.36 0.82


    Both league champions bubble to the top of the list but those who've read the articles will know that this doesn't reflect much in terms of skill. This point was validated by looking at the careers of third base coaches and splitting the even and odd years in order to see if there was any persistence in ratio (defined as the ratio of the "coach-influenced" and "non-coach-influenced" opportunities). The plot below shows the career halves for the 35 coaches with the most experience from 1993 through 2007.



    So again with a coefficient of determination of .03 there is no correlation for ratio indicating that there is precious little skill (or rather skill difference) between coaches at the major league level - assuming of course that the metric would capture the influence of a coach if it were present.

    Finally then, here is the complete data set of the 125 coaches from 1993 through 2007 and how they did in terms of ratio.


    Coach Non-Coach
    Name Season Opps OA EqHAR Opps OA EqHAR Ratio
    Greg Riddoch 1 77 3 -1.1 200 9 -7.4 1.51
    Billy Hatcher 2 387 6 5.5 573 21 -11.4 1.33
    Eddie Rodriguez 1 165 4 -1.7 340 10 -9.7 1.32
    Bill Dancy 2 528 15 4.3 736 17 -13.1 1.26
    Christopher Bando 3 570 15 -3.1 926 23 -19.0 1.24
    Lance Parish 1 189 5 0.9 243 8 -4.2 1.24
    Michael Cubbage 2 494 12 3.6 706 15 -11.6 1.23
    Gary Allenson 3 517 22 -15.2 786 27 -20.2 1.18
    Terry Bevington 2 439 12 -3.5 544 11 -8.7 1.17
    DeMarlo Hale 2 489 11 -6.8 874 17 -18.4 1.17
    Brian Snitker 1 245 5 1.8 400 4 -4.1 1.16
    Terry Francona 1 200 4 0.2 349 9 -5.2 1.16
    Al Pedrique 1 223 2 5.7 308 4 -0.8 1.16
    Bobby Floyd 1 173 5 -2.7 316 8 -5.9 1.15
    Dave Myers 4 986 16 8.1 1463 35 -12.8 1.14
    Tom Foley 6 1285 22 17.8 1995 49 -9.5 1.14
    Ray Knight 2 341 5 7.0 562 15 -1.8 1.13
    Rick Burleson 3 706 13 7.5 1081 33 -3.6 1.12
    John Russell 3 672 19 -1.1 1096 24 -10.7 1.11
    Jack Lind 3 556 12 3.3 1037 30 -8.6 1.11
    Joe Amalfitano 6 1067 28 4.7 2097 56 -12.0 1.11
    Eddie Rodriquez 2 475 11 -5.5 614 16 -7.8 1.10
    David Oliver 2 507 6 4.2 786 14 -3.8 1.09
    Nick Leyva 5 857 15 5.1 1524 30 -8.3 1.09
    Jeff Datz 1 274 5 -0.4 400 7 -3.3 1.09
    Willie Randolph 8 2001 40 18.4 2930 70 -6.1 1.09
    Mike Gallego 3 753 12 10.8 1157 31 -2.6 1.09
    Gene Lamont 7 1622 37 13.4 2496 61 -7.2 1.08
    Gary Pettis 3 530 18 -3.4 741 17 -7.2 1.08
    Ron Wotus 1 191 3 2.2 416 7 -0.9 1.07
    Rene Lachemann 4 789 21 -12.7 1465 39 -14.9 1.06
    Tom Trebelhorn 6 1323 32 4.4 2101 51 -4.8 1.06
    Cookie Rojas 7 1392 38 -16.6 2374 56 -21.8 1.06
    Jim Riggleamn 1 270 7 -1.5 308 11 -2.8 1.06
    Juan Samuel 4 857 15 2.2 1373 31 -3.9 1.06
    Ron Oester 2 407 11 0.4 571 20 -2.4 1.05
    Sam Perlozzo 7 1564 31 5.0 2249 47 -3.6 1.05
    Joel Skinner 6 1322 33 16.3 2041 47 2.6 1.05
    Gene Glynn 8 1815 43 -16.4 2563 50 -17.3 1.05
    Manny Acta 5 1032 17 15.7 1495 37 6.0 1.05
    Ozzie Guillen 2 345 10 1.2 632 19 -1.9 1.04
    Don Zimmer 1 147 4 0.3 262 6 -0.9 1.04
    Joey Cora 1 234 9 -7.5 404 9 -6.9 1.04
    Duffy Dyer 5 1039 26 7.8 1830 42 1.8 1.04
    Carlos Garcia 2 472 9 1.3 853 22 -2.5 1.04
    Ron Washington 8 1973 51 5.0 2590 45 -2.0 1.04
    Tony Beasley 1 241 6 1.2 312 9 -0.4 1.04
    Dino Ebel 2 529 9 15.8 770 20 8.8 1.04
    Joel Youngblood 1 189 2 7.5 294 8 4.4 1.03
    Steve Boros 3 570 14 1.6 901 28 0.5 1.03
    Chuck Cottier 1 237 7 1.2 362 7 -0.2 1.03
    Dale Sveum 3 789 18 -20.7 1201 26 -19.1 1.03
    Cletis Boyer 2 478 13 -6.2 776 18 -6.8 1.03
    Dave Bristol 1 194 9 -6.7 408 9 -6.3 1.02
    Ron Jackson 2 515 8 1.6 778 20 0.2 1.02
    Ron Hassey 1 186 3 0.1 342 8 -0.7 1.02
    John Vukovich 7 1505 40 -7.3 2235 62 -5.3 1.02
    Tim Foli 3 618 26 -0.8 844 27 -1.1 1.02
    Sonny Jackson 4 843 25 -15.7 1241 31 -13.0 1.02
    Al Newman 4 889 24 1.9 1384 28 1.5 1.01
    Bobby Dews 2 397 17 -2.1 745 22 -3.6 1.01
    John McLaren 2 507 7 -6.2 740 18 -5.8 1.01
    Carlos Tosca 3 713 13 0.9 968 17 -0.6 1.01
    Doug Mansolino 8 1769 40 4.9 2580 38 4.8 1.01
    Jerry Narron 8 1788 35 23.1 2960 60 15.4 1.01
    Luis Silverio 2 449 9 6.1 787 19 4.4 1.01
    Rich Hacker 1 234 5 3.3 391 7 2.5 1.00
    Matt Galante 6 1179 33 -3.2 1929 54 0.2 1.00
    Bryan Little 2 411 4 11.0 700 16 8.8 1.00
    Ken Macha 2 382 12 3.2 638 17 2.4 1.00
    Brian Butterfield 7 1463 35 -5.6 2365 56 0.5 1.00
    Brian Poldberg 1 219 4 4.6 357 8 3.0 1.00
    Ned Yost 3 590 21 -7.6 797 24 -0.7 1.00
    Mike Cubbage 7 1397 45 8.7 2383 65 13.0 1.00
    Rob Picciolo 3 704 11 3.9 1163 24 7.3 0.99
    Sandy Alomar 3 704 14 11.4 1042 26 10.7 0.99
    Harry Dunlop 1 192 9 -5.5 398 8 -5.5 0.99
    Perry Hill 2 401 10 0.3 684 21 1.5 0.98
    Wendell Kim 9 1864 58 -27.1 3095 65 -6.5 0.98
    Jose Oquendo 8 1887 41 23.8 2654 56 23.8 0.98
    Dave Huppert 1 240 4 -1.3 318 7 -0.1 0.98
    Steve Smith 7 1493 34 -5.8 2449 51 1.1 0.98
    Jerry Royster 1 200 5 -2.3 366 11 -1.0 0.98
    Bruce Bochy 2 381 9 -13.2 589 14 -7.9 0.97
    Rich Donnelly 13 2868 84 -3.9 4287 92 8.1 0.97
    Tommie Reynolds 4 719 14 6.4 1255 26 9.0 0.97
    Tim Flannery 7 1526 39 4.2 2181 49 14.4 0.97
    Jimmy Williams 4 841 26 -10.7 1208 30 -2.0 0.97
    Glenn Hoffman 7 1541 42 -12.9 2019 47 -3.2 0.97
    Larry Bowa 9 1870 37 -6.7 2866 55 5.8 0.97
    Tim Raines 1 204 9 2.9 335 7 3.3 0.97
    Jeff Newman 6 1313 32 -6.7 2143 43 6.2 0.97
    Jerry Manuel 4 752 25 -18.4 1307 39 -8.1 0.96
    Marc Bombard 1 170 1 6.8 301 5 6.8 0.96
    Ron Gardenhire 5 1155 31 -2.4 1482 36 6.3 0.95
    Bucky Dent 1 245 7 -0.5 401 9 2.0 0.94
    Fredi Gonzalez 6 1249 25 0.6 2005 32 16.2 0.94
    Rafael Santana 2 408 8 0.4 717 12 5.9 0.94
    Jeff Cox 6 1246 32 -8.9 2057 36 5.0 0.94
    Ron Roenicke 6 1538 40 4.0 1977 34 17.3 0.94
    Bo Porter 1 209 4 -4.2 361 7 -1.5 0.94
    Tom Gamboa 1 206 4 0.4 354 9 3.1 0.93
    Dan Radison 1 227 4 2.1 331 8 4.1 0.93
    Dave Oliver 2 406 4 8.0 621 11 11.3 0.92
    John Mizerock 2 478 10 -0.5 790 13 6.7 0.91
    Pete MacKanin 3 521 17 -4.6 846 20 5.1 0.91
    Scott Ullger 5 1212 29 9.1 2058 40 26.4 0.91
    Graig Nettles 1 236 8 -4.2 346 10 0.2 0.91
    Gene Glenn 3 655 20 -10.9 1245 31 2.7 0.91
    Tony Muser 3 557 16 -0.6 903 22 9.7 0.91
    Luis Sojo 2 558 16 -5.6 718 12 5.3 0.91
    Tony Harrah 1 272 11 -7.1 431 7 -0.9 0.91
    Rich Dauer 5 1085 29 -1.3 1665 29 15.6 0.90
    Tom Spencer 1 220 5 0.2 355 7 5.0 0.90
    Chip Hale 1 172 6 -2.9 336 8 1.7 0.89
    Mark Berry 4 893 26 -19.8 1274 25 2.0 0.88
    Razor Shines 1 194 5 -1.2 304 5 3.0 0.88
    Trent Jewett 2 354 10 1.4 454 10 7.1 0.87
    Mike Quade 1 241 6 -1.6 386 8 5.3 0.86
    Bobby Meacham 1 199 4 2.4 359 5 8.4 0.84
    Tim Tolman 1 203 7 -4.7 347 4 2.2 0.84
    John Sterns 1 206 10 -8.2 253 10 -0.1 0.83
    Don Wakamatsu 1 216 4 5.0 362 3 12.2 0.82
    Richard Tracewski 3 609 12 -3.1 1052 14 24.8 0.79
    Chris Speier 4 865 22 -6.9 1160 15 25.1 0.78


    For those scoring at home yes, Waving Wendall Kim did have the lowest overall EqHAR value at -27.1 runs with 58 runners caught on the bases in 9 seasons. However, when you consider non-coach-influenced opportunities he comes in just below an even ratio at 0.98 and 79th on our list.