Most of the readers of this blog have
checked out the advanced fielding statistics at sites like FanGraphs and Baseball-Reference from time to time.
A metric such as
Defensive Runs Saved (DRS) give us an idea of a player’s overall
fielding performance. It is given as runs saved above what would be
expected from the average player at the given position. It is
discussed in more detail in the fielding glossary.
You may also have noticed two additional columns at FanGraphs labeled RZR and OOZ. These are the Revised Zone Rating statistics developed by John Dewan, president of Baseball Info Solutions. Dewan later developed the more detailed DRS metric. The Revised Zone Rating system is comprised of the following measures:
You may also have noticed two additional columns at FanGraphs labeled RZR and OOZ. These are the Revised Zone Rating statistics developed by John Dewan, president of Baseball Info Solutions. Dewan later developed the more detailed DRS metric. The Revised Zone Rating system is comprised of the following measures:
- Balls in play within a fielder’s zone (BIZ)
- Plays made in the zone (Plays)
- Proportion of balls in zone converted into outs (RZR)
- Plays made outside the zone (OOZ)
A play is considered to be inside a positional
zone if half the balls hit into that area are converted into outs by
all the players in baseball at that position. While the Revised Zone
Rating system is less sophisticated than DRS,
it is useful because it separates the plays a player made inside his
zone from the plays outside his zone. The data, of course, should be
interpreted with caution as is the case with all defensive metrics especially with the increasing trend of defensive shifts.
Table 1 below shows how the distinction between in-zone and out-of-zone plays can be useful. Phillies shortstop Jimmy Rollins converted 334 out of 407 (82.1%) of balls in his zone into outs in 2013. Brewers shortstop Jean Segura had a similar number of balls hit into his zone (402) but had a smaller RZR (77.9%). Conversely, Rollins made fewer out-of-zone plays (49) than Segura (98). These data suggest that Rollins may have been the steadier fielder on balls hit in the shortstop zone but that Segura was better at making difficult plays.
Table 1 below shows how the distinction between in-zone and out-of-zone plays can be useful. Phillies shortstop Jimmy Rollins converted 334 out of 407 (82.1%) of balls in his zone into outs in 2013. Brewers shortstop Jean Segura had a similar number of balls hit into his zone (402) but had a smaller RZR (77.9%). Conversely, Rollins made fewer out-of-zone plays (49) than Segura (98). These data suggest that Rollins may have been the steadier fielder on balls hit in the shortstop zone but that Segura was better at making difficult plays.
Table 1: Revised Zone Rating Statistics for Jimmy Rollins and Jean Segura, 2013
Player
|
BIZ
|
Plays
|
RZR
|
OOZ
|
Jimmy Rollins | 407 | 334 | .821 | 49 |
Jean Segura | 402 | 313 | .779 | 98 |
Some readers may have wondered whether these statistics
could be translated to runs above average like most of the other
defensive metrics. A few years ago, Colin Wyers (who has since been hired by the Houston Astros) developed an algorithm which combined RZR and OOZ and translated these numbers into plays made above average (PMAA)
and runs saved above average (RSAA). Wyers'
algorithm has a lot of steps and I'm not going to repeat the whole process here. If you want see all the math,
you can read my post from last year.
Table 2 below shows the MLB leaders among shortstops in 2013. The top shortstop in the majors was Andrelton Simmons of the Braves with 33 PMAA. The 33 plays made can be broken down into two parts: 30 Plays in Zone Above Average (PIZAA) and 3 Plays Out of Zone Above Average (OOZAA). PIZAA and OOZAA may be two of the most amusing acronyms out there and you are probably relieved that I didn't show all the math. Simply stated though, Simmons was exceptional on plays in the shortstop zone and slightly above average outside the zone.
The final column of the table shows that Simmons saving an estimated 25 runs for the Braves. Simmons was also rated as spectacular by DRS (+41), Baseball-Reference's Total Zone (+30) and Baseball Prospectus' FRAA (+27).
Table 2 below shows the MLB leaders among shortstops in 2013. The top shortstop in the majors was Andrelton Simmons of the Braves with 33 PMAA. The 33 plays made can be broken down into two parts: 30 Plays in Zone Above Average (PIZAA) and 3 Plays Out of Zone Above Average (OOZAA). PIZAA and OOZAA may be two of the most amusing acronyms out there and you are probably relieved that I didn't show all the math. Simply stated though, Simmons was exceptional on plays in the shortstop zone and slightly above average outside the zone.
The final column of the table shows that Simmons saving an estimated 25 runs for the Braves. Simmons was also rated as spectacular by DRS (+41), Baseball-Reference's Total Zone (+30) and Baseball Prospectus' FRAA (+27).
Former Tigers shortstop Jhonny Peralta had -2 PIZAA and -1 OOZA which shows that he was about average both inside and outside the zone. This might be a surprising result, but if we look at two years of data (2013-2013), we see the Jhonny we know: +14 in the zone and minus -21 outside the zone.
Tigers current shortstop Jose Iglesias has unexpected number the last two years: +6 PIZAA and -1 OOZA but that's based on under 800 innings. I would guess that his outside-the-zone play will rate much better in the future.
Table 2: Runs Saved by MLB Shortstops According to RZR, OOZ, 2013
Player
|
Team
|
Inn
|
RZR
|
OOZ
|
PIZ
AA
|
OOZ
AA
|
PMAA
|
RSAA
|
Andrelton
Simmons
|
ATL
|
1,352
|
.876
|
73
|
30
|
3
|
33
|
25
|
Clint
Barmes
|
PIT
|
804
|
.843
|
60
|
9
|
18
|
27
|
21
|
Pete
Kozma
|
STL
|
1,051
|
.838
|
69
|
12
|
14
|
26
|
19
|
Jean
Segura
|
MIL
|
1,251
|
.779
|
98
|
-10
|
33
|
23
|
17
|
Troy
Tulowitzki
|
COL
|
1,029
|
.862
|
51
|
20
|
-3
|
17
|
13
|
Yunel
Escobar
|
TBR
|
1,320
|
.782
|
90
|
-7
|
21
|
14
|
11
|
Pedro
Florimon
|
MIN
|
1,099
|
.838
|
58
|
12
|
1
|
13
|
10
|
Alcides
Escobar
|
KCR
|
1,388
|
.790
|
89
|
-4
|
17
|
12
|
9
|
Ian
Desmond
|
WSN
|
1,400
|
.844
|
69
|
15
|
-4
|
11
|
9
|
Brendan
Ryan
|
-
-
|
854
|
.759
|
64
|
-12
|
19
|
8
|
6
|
Elvis
Andrus
|
TEX
|
1,288
|
.822
|
63
|
6
|
-4
|
2
|
1
|
Zack
Cozart
|
CIN
|
1,308
|
.849
|
54
|
15
|
-14
|
1
|
1
|
Alexei
Ramirez
|
CHW
|
1,400
|
.820
|
65
|
7
|
-8
|
-1
|
-1
|
Starlin
Castro
|
CHC
|
1,418
|
.804
|
72
|
0
|
-2
|
-2
|
-1
|
Brandon
Crawford
|
SFG
|
1,226
|
.813
|
58
|
3
|
-6
|
-2
|
-2
|
Jhonny
Peralta
|
DET
|
935
|
.796
|
48
|
-2
|
-1
|
-3
|
-2
|
Everth
Cabrera
|
SDP
|
847
|
.804
|
41
|
0
|
-3
|
-3
|
-2
|
J.J.
Hardy
|
BAL
|
1,417
|
.804
|
69
|
0
|
-5
|
-5
|
-3
|
Didi
Gregorius
|
ARI
|
894
|
.795
|
43
|
-2
|
-4
|
-6
|
-4
|
Stephen
Drew
|
BOS
|
1,093
|
.788
|
55
|
-4
|
-2
|
-6
|
-5
|
Adeiny
Hechavarria
|
MIA
|
1,297
|
.801
|
61
|
-1
|
-7
|
-8
|
-6
|
Asdrubal
Cabrera
|
CLE
|
1,099
|
.788
|
51
|
-4
|
-6
|
-10
|
-8
|
Jimmy
Rollins
|
PHI
|
1,318
|
.821
|
49
|
7
|
-20
|
-13
|
-9
|
Omar
Quintanilla
|
NYM
|
814
|
.771
|
33
|
-8
|
-9
|
-17
|
-13
|
Jed Lowrie
|
OAK
|
1,023
|
.758
|
43
|
-11
|
-10
|
-22
|
-16
|
Erick
Aybar
|
LAA
|
1,203
|
.736
|
59
|
-21
|
-4
|
-25
|
-19
|
Well we saw a lot of neat stuff from Iglesias with the glove last year, but we also saw quite a few mistakes and other miscellaneous stuff and he definitely has the capacity to get better from where he is now. We probably won't get too excited about his bat this year, so it's very important that they work hard to make sure he continues to develop and improve and really juice his defensive contributions to the team. I'm looking forward to seeing how he does with what will surely be his largest amount of time playing in a season yet. It should be quite fascinating to study and break down his defensive play all year long.
ReplyDeleteSpeaking of which...how does Iggy compare on this list if we prorate him to 150 games at shortstop? And BTW, am looking forward to checking out your book, Lee.
ReplyDeleteIf you take Iglesias' career numbers and extend to 150 games, he comes out to be about +9 RSAA. That's merging together very small sample sizes from different years though, so it's probably not too meaningful.
ReplyDelete