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Showing posts with label Mariners. Show all posts
Showing posts with label Mariners. Show all posts

Thursday, January 03, 2008

SFR in the Infield - AL West

Last but not least, the AL West infielders in SFR. Mark Ellis was the overall leader for 2007 at +27 runs


Ex
Name Team POS Balls Runners Runners SFR
John Lackey ANA 1 25 2 1 0.8
Kelvim Escobar ANA 1 18 2 1 0.6
Jered Weaver ANA 1 20 2 2 0.2
Jeff Mathis ANA 2 21 1 0 1.1
Casey Kotchman ANA 3 254 36 28 6.8
Kendry Morales ANA 3 30 4 4 0.2
Robb Quinlan ANA 3 59 8 9 -0.8
Erick Aybar ANA 4 142 34 28 4.4
Howie Kendrick ANA 4 364 91 88 2.0
Chone Figgins ANA 4 26 7 8 -0.9
Maicer Izturis ANA 4 134 35 37 -2.1
Maicer Izturis ANA 5 127 28 25 2.4
Brandon Wood ANA 5 31 5 6 -0.4
Robb Quinlan ANA 5 15 3 4 -0.9
Chone Figgins ANA 5 265 59 64 -4.6
Erick Aybar ANA 6 45 12 14 -0.3
Orlando Cabrera ANA 6 644 176 180 -3.2
-----------------------------------------------------------------------
Joe Blanton OAK 1 28 3 0 2.1
Dan Haren OAK 1 19 2 1 0.8
Chad Gaudin OAK 1 23 2 2 0.0
Joe Kennedy OAK 1 23 3 4 -0.6
Jay Marshall OAK 1 19 2 3 -0.9
Lenny DiNardo OAK 1 21 2 6 -2.7
Jason Kendall OAK 2 19 2 2 -0.1
Kurt Suzuki OAK 2 16 1 2 -0.4
Nick Swisher OAK 3 103 15 12 2.8
Daric Barton OAK 3 35 6 4 1.6
Dan Johnson OAK 3 193 27 27 0.1
Todd Walker OAK 3 18 3 3 -0.1
Mark Ellis OAK 4 695 170 134 27.0
Marco Scutaro OAK 4 58 15 12 1.9
Eric Chavez OAK 5 261 53 44 7.4
Jack Hannahan OAK 5 119 27 25 1.3
Marco Scutaro OAK 5 109 22 25 -2.3
Bobby Crosby OAK 6 432 120 118 -1.0
Donnie Murphy OAK 6 137 41 45 -1.2
Marco Scutaro OAK 6 173 47 51 -2.2
-----------------------------------------------------------------------
Horacio Ramirez SEA 1 24 2 0 1.8
Miguel Batista SEA 1 28 3 2 0.9
Jarrod Washburn SEA 1 22 3 2 0.4
Sean Green SEA 1 17 2 3 -0.6
Felix Hernandez SEA 1 30 3 4 -0.7
Kenji Johjima SEA 2 34 1 2 -0.4
Ben Broussard SEA 3 87 13 15 -2.2
Richie Sexson SEA 3 241 35 39 -3.2
Jose Lopez SEA 4 640 159 151 5.8
Jose Vidro SEA 4 30 7 9 -1.9
Willie Bloomquist SEA 4 69 17 24 -5.7
Willie Bloomquist SEA 5 45 11 11 -0.2
Adrian Beltre SEA 5 482 98 103 -4.4
Willie Bloomquist SEA 6 68 18 17 1.2
Yuniesky Betancourt SEA 6 651 178 187 -4.8
-----------------------------------------------------------------------
Jamey Wright TEX 1 16 1 1 0.3
Robinson Tejeda TEX 1 17 2 2 0.0
Willie Eyre TEX 1 16 2 2 -0.3
Kevin Millwood TEX 1 18 1 2 -0.4
Kameron Loe TEX 1 34 3 6 -2.3
Gerald Laird TEX 2 40 3 3 -0.1
Mark Teixeira TEX 3 150 23 18 3.3
Frank Catalanotto TEX 3 22 3 2 1.0
Brad Wilkerson TEX 3 101 16 16 -0.1
Jarrod Saltalamacchia TEX 3 55 9 11 -1.6
Ian Kinsler TEX 4 600 152 138 10.6
Jerry Hairston TEX 4 56 14 12 1.9
Desi Relaford TEX 4 38 10 12 -1.5
Ramon Vazquez TEX 4 49 13 17 -3.0
Jerry Hairston TEX 5 19 4 4 0.2
Hank Blalock TEX 5 109 25 26 -0.7
Ramon Vazquez TEX 5 196 42 44 -1.7
Travis Metcalf TEX 5 149 32 35 -2.1
Matt Kata TEX 5 20 4 10 -4.1
Ramon Vazquez TEX 6 58 17 12 3.7
Michael Young TEX 6 670 188 191 -4.7

Thursday, July 12, 2007

Ichiro!

After being out of contact for two days camping with the family I watched the All-Star game this afternoon. Another disappointing loss for the National Leaguers to which I am very sympathetic as a life long NL fan. But still, give Ichiro Suzuki his due. During the game 238 of the 292 pitches were captured by PITCH f/x and here are Suzuki's three plate appearances.





Thursday, June 14, 2007

Long Live the King


My column today focuses on creating pitcher profiles using the Gameday data with a case study on Felix Hernandez. It turns out that 415 of Hernandez's approximately 800 pitches in 2007 have been captured by PITCHf/x and so it's interesting to explore generating pitch profiles and various tables and graphs breaking down his pitches every which way from Sunday. For me, it was mostly an exercise in seeing how easy it would be to manipulate the data in various ways but it did quantify Felix's loss of movement and velocity following injury, his reluctance to throw the changeup against right-handed hitters, as well as his tendency to focus on the fastball in the first inning. Of course these are things that have been observed but it's nice to see the supporting evidence as well.

What I find most interesting (and piggy-backing off of the work of others) is that it shows the pitches can be identified and classified using the data (my algorithm was able to hit 95% agreement on his June 10th start based on David Cameron's charting). What I did was exceedingly simple, however, and requires customization for each pitcher. It'll be interesting to see if a system can be devised that classifies the pitches more broadly across a set of pitchers. Still, it seems human interaction will be required but hopefully it can be minimized.

Don't forget about the chat tomorrow!