2008 C Defense By PMR

Team: PMR / RAA | 1B: PMR / RAA | 2B: PMRRAA | 3B: PMRRAA | SS: PMR / RAA | LF: PMR / RAA | CF: PMR / RAA | RF: PMR / RAA | C: PMR / RAA

Each season, David Pinto releases his Probablistic Measure of Range (PMR) ratings based on play-by-play data from Baseball Info Solutions.  PMR measures how many plays above or below expected each team or player made based on batted ball characteristics like velocity and location. Here at Beyond the Box Score, we're translating the play numbers into runs (following a method developed by LA Black Hawk of Waterloo).  More information can be found in this post.

This entry, we look at catchers  - first on the team level and then for individuals.

 

Team In Play Actual Outs Predicted Outs Outs Delta Runs Delta Runs / 4000 RAA / 4000
Brewers 4354 71 63.52 7.48 5.61 5.15 5.22
Mets 4335 54 48.85 5.15 3.8625 3.56 3.63
Pirates 4683 53 48.61 4.39 3.2925 2.81 2.88
Astros 4292 41 37.24 3.76 2.82 2.63 2.7
Yankees 4349 56 52.39 3.61 2.7075 2.49 2.56
Twins 4607 45 41.93 3.07 2.3025 2 2.07
Rockies 4535 58 55.02 2.98 2.235 1.97 2.04
Rangers 4667 49 46.47 2.53 1.8975 1.63 1.7
Orioles 4540 41 39.1 1.9 1.425 1.26 1.33
Phillies 4396 58 56.28 1.72 1.29 1.17 1.24
Braves 4383 63 61.73 1.27 0.9525 0.87 0.94
Diamondbacks 4224 50 49.19 0.81 0.6075 0.58 0.65
Padres 4419 64 63.44 0.56 0.42 0.38 0.45
Nationals 4417 34 33.64 0.36 0.27 0.24 0.31
Mariners 4512 42 42.22 -0.22 -0.165 -0.15 -0.08
Dodgers 4265 38 38.45 -0.45 -0.3375 -0.32 -0.25
Angels 4374 44 44.74 -0.74 -0.555 -0.51 -0.44
Blue Jays 4215 57 57.84 -0.84 -0.63 -0.6 -0.53
White Sox 4409 39 39.88 -0.88 -0.66 -0.6 -0.53
Tigers 4536 58 59.27 -1.27 -0.9525 -0.84 -0.77
Giants 4232 48 49.8 -1.8 -1.35 -1.28 -1.21
Rays 4264 50 51.91 -1.91 -1.4325 -1.34 -1.27
Red Sox 4232 51 53.09 -2.09 -1.5675 -1.48 -1.41
Royals 4413 49 51.24 -2.24 -1.68 -1.52 -1.45
Marlins 4338 58 60.75 -2.75 -2.0625 -1.9 -1.83
Indians 4513 45 47.9 -2.9 -2.175 -1.93 -1.86
Cardinals 4597 47 50.66 -3.66 -2.745 -2.39 -2.32
Athletics 4285 28 31.42 -3.42 -2.565 -2.39 -2.32
Reds 4299 52 60.3 -8.3 -6.225 -5.79 -5.72
Cubs 4156 42 51.03 -9.03 -6.7725 -6.52 -6.45

 

Player In Play Actual Outs Predicted Outs Outs Delta Runs Delta Runs / 4000

RAA

/ 4000

Wil Nieves 1327 14 9.94 4.06 3.045 9.18 9.25
Kevin Cash 1131 14 10.77 3.23 2.4225 8.57 8.64
Carlos Ruiz 2517 42 36.54 5.46 4.095 6.51 6.58
J.R. Towles 1252 8 6.01 1.99 1.4925 4.77 4.84
Chris Iannetta 2633 35 30.83 4.17 3.1275 4.75 4.82
Jason Kendall 3988 67 60.93 6.07 4.5525 4.57 4.64
Ryan Doumit 2933 31 26.57 4.43 3.3225 4.53 4.6
Humberto Quintero 1321 15 13.41 1.59 1.1925 3.61 3.68
Jason LaRue 1288 16 14.58 1.42 1.065 3.31 3.38
Victor Martinez 1388 16 14.48 1.52 1.14 3.29 3.36
Gregg Zaun 1807 30 28.04 1.96 1.47 3.25 3.32
Ramon Castro 1041 14 12.97 1.03 0.7725 2.97 3.04
Joe Mauer 3805 41 37.6 3.4 2.55 2.68 2.75
Guillermo Quiroz 1176 8 7.01 0.99 0.7425 2.53 2.6
Dioner Navarro 2911 38 35.59 2.41 1.8075 2.48 2.55
Ivan Rodriguez 2947 42 39.65 2.35 1.7625 2.39 2.46
Jeff Mathis 2351 33 31.46 1.54 1.155 1.97 2.04
Brian Schneider 2575 30 28.52 1.48 1.11 1.72 1.79
Josh Bard 1253 21 20.28 0.72 0.54 1.72 1.79
Ramon Hernandez 3272 33 32.09 0.91 0.6825 0.83 0.9
Miguel Montero 1191 15 14.77 0.23 0.1725 0.58 0.65
Chris Snyder 2733 33 32.54 0.46 0.345 0.5 0.57
Brad Ausmus 1719 18 17.82 0.18 0.135 0.31 0.38
Jarrod Saltalamacchia 1470 17 16.85 0.15 0.1125 0.31 0.38
Gerald Laird 2419 24 23.76 0.24 0.18 0.3 0.37
Jose Molina 2152 23 22.8 0.2 0.15 0.28 0.35
Brandon Inge 1541 21 21.16 -0.16 -0.12 -0.31 -0.24
A.J. Pierzynski 3428 31 31.53 -0.53 -0.3975 -0.46 -0.39
Kurt Suzuki 3608 25 26.45 -1.45 -1.0875 -1.21 -1.14
John Buck 2902 30 31.39 -1.39 -1.0425 -1.44 -1.37
Brian McCann 3470 49 50.81 -1.81 -1.3575 -1.56 -1.49
Miguel Olivo 1509 19 19.85 -0.85 -0.6375 -1.69 -1.62
Yorvit Torrealba 1819 21 22.19 -1.19 -0.8925 -1.96 -1.89
Nick Hundley 1482 18 19.13 -1.13 -0.8475 -2.29 -2.22
Matt Treanor 1561 23 24.36 -1.36 -1.02 -2.61 -2.54
Bengie Molina 3272 36 39 -3 -2.25 -2.75 -2.68
Jesus Flores 2116 13 15.03 -2.03 -1.5225 -2.88 -2.81
Russell Martin 3655 31 34.63 -3.63 -2.7225 -2.98 -2.91
Geovany Soto 3302 34 37.47 -3.47 -2.6025 -3.15 -3.08
Mike Napoli 1931 10 12.08 -2.08 -1.56 -3.23 -3.16
Rod Barajas 2262 24 26.6 -2.6 -1.95 -3.45 -3.38
Kenji Johjima 2617 20 23.53 -3.53 -2.6475 -4.05 -3.98
Yadier Molina 3185 29 34.24 -5.24 -3.93 -4.94 -4.87
Jason Varitek 3002 37 42.26 -5.26 -3.945 -5.26 -5.19
Paul Bako 2272 20 24.25 -4.25 -3.1875 -5.61 -5.54
Chris Coste 1853 15 18.62 -3.62 -2.715 -5.86 -5.79
John Baker 1477 13 15.96 -2.96 -2.22 -6.01 -5.94
Kelly Shoppach 2774 25 30.66 -5.66 -4.245 -6.12 -6.05
David Ross 1238 17 19.96 -2.96 -2.22 -7.17 -7.1
Shawn Riggans 1041 11 14.08 -3.08 -2.31 -8.88 -8.81

It's important to identify that these numbers only take into account a catcher's fielding.  In other words, all we're looking at are bunts, nubbers and foul balls.  Controlling the running game, calling pitches and blocking the ball aren't included here.  Since catchers handle so few plays, these numbers really shouldn't be taken as gospel. Also, I've assumed that every play a catcher doesn't convert becomes a single, so each play made is an additional .75 runs (the value of an out minus the value of a single).

Because of the uncertainty included in such a small sample, there's really not a whole lot to say.  People often talk about Jarrod Saltalamacchia having to be moved to first base, but he rated pretty close to average in this piece of catcher defense.  Yadier Molina, who's generally considered a very strong defensive catcher, didn't do that well fielding balls in play, at nearly 5 runs below average.  Jason Varitek didn't just lose a lot at the plate, he performed poorly in front of it as well, scoring 5 runs below average.  I'm sure a lot of Red Sox fans are hoping the captain can turn it around next season.  Chris Iannetta looks like a star in the making if he can keep it up, with his 127 OPS+ and nearly 5 runs saved above average fielding balls.

For those who are interested in catcher's defense, I'll be releasing the 2008 results for Catcher Block Percentage soon after Retrosheet releases their 2008 play-by-play data.  Keep an eye out for it.

I'll also be posting the full spreadsheet used for the PMR calculations in the next day or so.  I plan to attempt some additional analysis using some more historical data, and may even get into PMR projections.

 

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