Over the course of the winter, I’ve presented four different fielding range metrics in the following posts:
Article 1 (Range Factor, Zone Rating)
Article 2 (David Pinto’s Probabilistic Model of Range or PMR)
Article 3 (David Gassko’s Range)
Two other respected measures – Ultimate Zone Rating (UZR) and
None of the range metrics are nearly as reliable as hitting metrics but much progress has been made in the elusive measurement of range in the past several years. I think we can safely say that players who do well on all of the metrics have good range and that players who do poorly on all the metrics have limited range. However, there is a lot of variation across measures.
So, rather than rely on just one of the measures, I thought it might be a good idea to get an average across all four measures. For example, Brandon Inge was 1st in Range Factor, 6th in Zone Rating, 1st using the Gassko Range and 17th using the Probabilistic Model of Range. This comes out to an average rank of 6.3.
I won’t give the ranks for the individual methods for all the players because I am not allowed to release Gassko’s ratings at this time. I will, however, give a best ranking, a worst ranking and an average.
This analysis is a work in progress. Ideally, I would like to add UZR and DFT to the mix and perhaps compute a weighted average of all the measures. For now, I’ll just do an unweighted average of the four measures which are available to me. For those who are interested in the details, note that I used Gassko’s runs saved above average prorated to 150 games and I used the smoothed PMR using ground balls only. The other two metrics are zone rating and range factor.
The table below presents the third basemen with 600 or more innings played. There were 26 qualifying third basemen in 2005. The table shows that Inge had the third best average rank in baseball behind David Bell and Eric Chavez. I’ll present other positions as the week goes along.
Player | Team | Innings | Best Rank | Worst Rank | Avg |
| Phi | 1297 | 1 | 8 | 4.0 |
Chavez | Oak | 1348 | 1 | 12 | 6.0 |
Inge | Det | 1400 | 1 | 17 | 6.3 |
Nunez | StL | 721 | 2 | 13 | 6.8 |
Ensberg | Hou | 1286 | 5 | 12 | 7.5 |
Burroughs | SD | 657 | 3 | 22 | 10.5 |
Crede | CWS | 1120 | 7 | 16 | 10.5 |
Beltre | Sea | 1326 | 8 | 15 | 10.8 |
Mora | Bal | 1290 | 9 | 14 | 11.0 |
Boone | Cle | 1250 | 6 | 15 | 11.3 |
Wright | NYM | 1404 | 4 | 18 | 11.5 |
Koskie | Tor | 674 | 2 | 26 | 12.8 |
Atkins | | 1162 | 4 | 20 | 13.5 |
Gonzalez | TB | 780 | 11 | 19 | 13.5 |
Mueller | Bos | 1209 | 3 | 22 | 13.5 |
Glaus | Ari | 1264 | 4 | 24 | 13.8 |
Jones | Atl | 830 | 2 | 24 | 14.5 |
| | 1127 | 9 | 19 | 15.5 |
Cuddyer | Min | 816 | 14 | 18 | 16.8 |
Teahen | KC | 1068 | 3 | 25 | 17.0 |
Rodriguez | NYY | 1385 | 4 | 26 | 18.5 |
Castilla | Was | 1171 | 14 | 26 | 19.3 |
Randa | Cin/SD | 1210 | 7 | 25 | 20.3 |
Ramirez | ChC | 1020 | 14 | 26 | 20.5 |
Blalock | | 1374 | 21 | 24 | 22.5 |
Alfonzo | SF | 813 | 22 | 25 | 23.3 |
Interesting aggregation, although I don't necessarily know about a straight averaging, since the different methodologies are not necessarily equal in scope or credibility.
ReplyDeleteThat said, I took a half-assed hack at something like this back in 2003. I took the three key fielding metrics of the time -- fielding average, range factor, and zone rating -- and averaged them out on different scales depending on the position. Here's the original post:
http://groups.google.com/group/rec.sport.baseball/browse_frm/thread/e970cca169754184/56154fd2e69aa9eb
I see the URL got truncated. I'll reproduce that entire post here:
ReplyDeleteBeen thinking about some of the things said around here lately regarding our
up the middle regulars -- specifically, we know their hitting sucks, but
we're doing it for the defensive advantage.
That got me to wondering how true that is and how it could be corroborated.
The idea I got was to measure how the Tigers are fielding at their
respective positions versus the rest of MLB.
The hard part is figuring out how to do it. Basically, there are three
measurements to consider, and they apply at eight of the nine positions:
Fielding Percentage (FPCT): Errors divided by Total Chances. A weak
measurement because it does not take range into account, nor does it account
for the difference between fielding errors and throwing errors, but it does
have limited value directionally in determining who has a better glove --
very limited.
Range Factor (RF): (PO + A) divided by 9 innings. This is supposed to
measure a fielder's ability to get to more batted balls, which is more
important measure of defensive value than raw number of errors or even error
rate. After all, if Player A has 500 chances and 25 errors (.950 FPCT)
versus Player B with 400 chances and 10 errors (.975 FPCT) in the same
number of innings, Player A may have booted 15 more balls -- but
theoretically, he’s also turned in 85 more outs, too, and that makes A more
valuable in the field than B, even with a lower FPCT. However, this
statistic is heavily influenced by the team's pitching staff. Fly ball
pitching staffs create higher range factors for the outfield because more
balls are hit there, and conversely lower factors for infielders. Vice
versa for ground ball staffs. So this number is not foolproof, but does
represent an upgrade from raw counting stats like errors or the FPCT rate
stat.
Zone Rating (ZR): The percentage of balls fielded by a player in his typical
defensive "zone," as measured by STATS, Inc. This does take range into
account, and assigns a player responsibility only for those balls deemed to
have been hit into his area, negating the fly ball staff/ground ball staff
split. But it does not separate errors from successful chances, treating
them equally, which leaves this statistic a bit deficient. But this is
actually a better measure of range factor than actual Range Factor is, I
think, because it is more team dependent (on pitching staffs, and also on
whether there are great range players at adjacent positions), while ZR is
more individually focused (what percent of balls hit into your zone you
actually convert into chances handled yourself). This is also a subjective
stat as well as it relies on the judgment of observers working for STATS to
determine just whose zone a ball fell in, but they use a redundant multiple
stringer system which helps iron those subjectivities out.
So in the end, how do we measure? Here's what I'm going to do: I'm going to
do a rate ranking system. I'm going to rank all the teams in all three of
the measures, then weight the categories based on their relatively
importance to each other, than attempt to adjust for position based on
relatively importance of that category.
So -- for the P, 2B, SS, and all the OF positions, I've weighted the
categories as FPCT=1/9, RF=3/9, and ZR=5/9, given the importance of range to
these positions. For 3B, where range is less of a factor, I've dialed back
the weighting to 1/5, 2/5, 2/5. For 1B, I’m flipping it around and putting
more emphasis on fielding percentage (1/2-1/4-1/4), since most of the
chances are taken on throws, making error percentage much more relevant here
than range.
By the way, I'm completely open to suggestions on the relative weighting of
each category to the others. I’m using a gut feel to assign weights based
on what I know of these positions – if someone can do a more empirical
analysis of weights should be applied to each position, please, have at it.
I’m only here to introduce the concept.
So enough of the setup -- how do Tiger fielders rank?
1B: FPCT: 20 (of 30 teams); RF: 3; ZR: 11; Overall: 10th. Carlos Pena has
been fairly decent here, but his RF is actually lower than the team’s (10.31
vs. 10.35), suggesting that the backups of Kevin Witt, Craig Paquette, Shane
Halter, and others have actually been better. Same with ZR (.833 vs. .857),
and Carlos has committed every 1B error on the team. But Carlos has played
75% of the innings at 1B, so he drives the overall team ranking. Bottom
line: 1B has been fairly decent for us defensively.
2B: 28/10/28 = 24th overall. This is where Ramon Santiago is hurting us –
he’s a very bad hitter (.233/.298/.270), but he’s also a bad fielding 2B,
especially in terms of zone rating, which is a killer at this position.
Even Shane Halter is an upgrade to Ramon as he has put better numbers on the
board in all three categories in a little over 20% of the innings there.
SS: 26/1/7 = 5th overall. I know those 11 errors he has look awful bad (and
he should have had his 12th in the 1st inning yesterday), but fact is, Omar
Infante is one of the best fielding shortstops in the majors now. His RF is
far and away the best among regulars (5.56; Omar Vizquel is second at 5.24).
The question is – how important is his fielding to withstand carrying his
.199/.261/.236? Yikes.
3B: 29/20/26 = 26th overall. No other way to put it: Tiger fielding at 3rd
base has been absolutely awful, and Eric Munson is the main miscreant (in ZR
and RF, even though Dmitri has a lower FPCT). I know we’ve all seen Eric
make a play or two and have called it “progress”, but people say the same
exact thing about Derek Jeter, who’s been among the worst defensive SS in
the majors for some time now. Luckily for us, 3B is not considered a
critical defensive position.
LF: 4/5/8 = 4th overall. LF is been a very good position for the Tigers as
well, and Craig Monroe is to thank here. He has generated as many chances
as Dmitri Young (57) in 41 fewer innings (193 vs. 234). Everyone else has
been fairly pedestrian here.
CF: 10/16/10 = 12th overall. Pretty middle of the pack here. Torres has
somewhat better numbers than Kingsale. Alex Sanchez has not been a stiff
out there, so far, although his reputation in the field can generously be
described as “bad”.
RF: 9/8/20 = 16th overall. One of Bobby’s strengths has actually turned
into somewhat of a liability. He’s getting plenty of chances and he’s
converting them into outs for the most part, but he’s not covering all the
ground he could. Bobby is 12th of 18 ZR among all RF who qualify (at least
he’s ahead of 55-gallon drum imitators Shawn Green and Richard Hidalgo).
But this is the consequence of getting old.
P: 10/10/20 = 16th overall. Those rankings read like a 10-10 phone
commercial. The Tigers get excellent range and sure-handedness out of Mike
Maroth and Gary Knotts, but fairly pedestrian if not steady work out of the
others.
You will notice I have left catchers out of this equation. Catcher is
probably the most difficult position to which to assign value statistically.
Zone Rating and Range Factor obviously mean nothing. Raw error counts per
inning caught therefore probably means a lot more here. Brandon Inge has
been somewhat OK behind the plate. He has given up 28 steals, fifth most in
baseball, is below average on CS % (31%), and has withstood the fifth most
attempts with 41. But then, runners steal more on the pitcher and less on
the catcher than commonly discussed. He has allowed only one passed ball,
so his glove seems fairly sure. And he has committed no errors. He may
have gotten fewer opportunities to make an error than average, but there’s
no way to tell from the stats at hand. The $64 question, of course, is:
does his defensive value necessitate carrying his .161/.221/.302 line into
the lineup every day? (And what the hell is Trammell thinking by batting
him above Santiago at all? That’s just dumb.) I don’t think anyone is
surprised that Matt Walbeck is absolutely brutal both behind the plate and
at bat, and he may in fact be the most harmful player being carried on a
major
league roster today.
Thanks Chuck. I like to try to keep things relatively simple on this blog but I agree the straight average is probably not the best route. When I get around to it, I'll probably play around with different weights and see how it changes the final ranking.
ReplyDeleteAlso, thanks for showing me your old post. I figured somebody had tried something like this before but I hadn't seen anything anywhere.
ReplyDelete