Manager poll, rumors, and PITCHf/x
A few readers emailed me this quote Rob Biertempfel had in the Trib the other day:
"I keep hearing whispers that things are taking a while to develop because the Pirates are having trouble finding people who are eager to work for them."
Whispers? Gezz.. ever hear how loud a fog horn is? That’s how loud it has been since September 21. It’s nice to see Biertempfel finally got in the loop and/or admitted he is.
Perhaps the fans should wonder why others are pretending not to hear things? Right Mr. Meyer?
BTW, one good source says John Farrell has no intention of becoming the Pirates next manager. But a front office gig he might entertain. Perhaps that is what Huntington had in mind all along? But don’t count on seeing Farrell in any position in Pittsburgh, the source said. We’ll see.
What happened to yesterday’s post on the rumors? I accidentally overwrote it (and the backup copy) watching the World Series. First time in two years that’s happened. Go figure.
Essentially, we’re still hearing the Twins have an interest in Bay based on whether Hunter is resigned or not; Wilson to Detroit is all but dead as the Tigers seem to be going after Renteria; and there is speculation the Rockies are going to come after Snell. I was surpised hearing that one knowing the Rockies have some right hand pitching depth in their system but if Dave Holliday comes to the Pirates front office..
For those who haven’t been watching Gameday this year, gamecast software includes detailed pitch tracking information (PITCHf/x) about pitches thrown. This data can be extracted from xml files that power Gameday and used to evaluate players. Unfortunately, many stadiums didn’t get their cameras until late in the year like PNC Park so data is spotty this year at best.
That being said, I extracted what data is available for the Pirates and have some basic analysis for your viewing pleasure.
The spreadsheet below shows each player and the percentage of pitch types they saw (% pl P = % of all pitches that player saw), a comparison to the league average, and the player’s batting average and slugging stats from each pitch type.
A wealth of information is available with the PITCHf/x data. For instance, did you know Jack Wilson saw 55% fastballs and that, when he got ahead in the count, he was thrown a fastball three out of four times? Now you know why Wilson had a .519 OBP on 2-0 last year.. he ate fastballs for dinner on the count.
On the flip side, Nady – who we have always thought of a fastball killer, saw 49% heaters and hit just .139 off them.
Saying that, there is this disclaimer - only 3500 pitches were able to be tracked and they were all late in the year. Nady and Bay, as you know, were not 100% late. So as mentioned earlier, be careful not to assume too much from this data set other than what pitchers were throwing the players on average.
|Player||Type||% pl P||LG Ave %||BA||SLG|