Go to end of page
Statements posted here are those of our readers and do not represent the BaseballThinkFactory. Names are provided by the poster and are not verified. We ask that posters follow our submission policy. Please report any inappropriate comments.
Best Hector Lopez comment ever was from the Great American Baseball Card Flipping, Trading, and Bubble Gum Book: "Lopez approached ground balls like a man killing a snake with a stick."
Hector Lopez was not just a bad fielder for a third baseman. In fact, Hector Lopez was not just a bad fielder for a baseball player. Hector Lopez was, when every factor has been taken into consideration, a bad fielder for a human being.
YESNetwork: Eduardo Nunez: I will prove people wrong
His MLB line to date is only a little below average for a SS.
2B: Cano .293, ARod .288, Granderson
BP's TAv projections for 2013.
How does TAv compare to OPS+? Does it at all?
True Average incorporates aspects that other linear weights-based metrics ignore. Reaching base on an error and situational hitting are included; meanwhile, strikeouts and bunts are treated as slightly more and less damaging outs than normal. The baseline for an average player is not meant to portray what a typical player has done, but rather what a typical player would do if given similar opportunities. That means adjustments made for parks and league quality. True Average's adjustments go beyond applying a blanket modifier-players who play more home games than road games will see that reflected in their adjustments. Unlike its predecessor, Equivalent Average, True Average does not consider baserunning or basestealing.
The biggest difference between Fielding Runs Above Average and similar defensive metrics comes in the data and philosophy used. Whereas other metrics use zone-based fielding data, Fielding Runs Above Average ignores that data due to the numerous biases present. Fielding Runs Above Average instead focuses on play-by-play data, taking a step back and focusing on the number of plays made compared to the average number of plays made by a player at said position. The pitcher's groundball tendencies, batter handedness, park, and base-out state all go into figuring out how many plays an average player at a position would make.
I don't know, some of the lead glove issue don't seem to be really fixable IMHO. this isn't a Robbie Cano type of mental lapses, this is ball go right through his glove , something you don't even expect A-Baller to do type of thing.
#24 As I'm sure you're aware you can get EQA from Clay Davenport's site. Like you I prefer it to BP's current offering.
FIP is a component ERA inspired by the work of Voros McCracken on defense-indepdendent pitching statistics, but has become more widely used because of the ease of computation - it requires only four easily-found box score stats, uses only basic arithmetic operations and has four easily-memorized constants. It was conceived of by both Tom Tango and Clay Dreslough, the latter of who called it Defense-Independent Component ERA.
As my title indicates, this is a place for me to keep some statistics I happen to care about. These are statistics that I’ve run at Baseball Prospectus for many years, but BP has decided to discontinue them – or at least transform into something I no longer recognize. Baseball Prospectus was originally founded on the premise that, since no one was publishing the baseball book we wanted to read, we would print one ourselves. In that same spirit, since BP is not publishing the stats I want to see, the way I want to see them, I’ll put them up myself.
I’m Clay Davenport, one of the founders of Baseball Prospectus. I still have a (looser than before) affiliation with BP, so don’t expect to see me using this site to dish dirt or run anybody into the ground. I’m old enough and stubborn enough to have my own way of doing things, and some of those things are contrary to the way BP wants to do things, which is why I wound up out here.
What do people think of BP's fielding metric FRAA?
Wyers is a sharp guy who knows what he's doing. Dropping SB runs from the linear weight rate stats seems to be pretty universal now since most sources are also now providing base running runs as a separate statistic now, which makes more sense than folding them in with hitting.
Weird that they have Youkilis outhitting Cano. Even on a rate basis that seems odd, all of Fangraphs projection systems (granted, only two of them are useful) give Cano a healthy edge in the rate department.
You must be Registered and Logged In to post comments.
Login to Join (1 members)
Page rendered in 0.3824 seconds, 74 querie(s) executed