[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
THE BOOK cover
The Unwritten Book
is Finally Written!

Read Excerpts & Reviews
E-Book available
as Amazon Kindle or
at iTunes for $9.99.

Hardcopy available at Amazon
SABR101 required reading if you enter this site. Check out the Sabermetric Wiki. And interesting baseball books.
Shop Amazon & Support This Blog
RECENT FORUM TOPICS
Jul 12 15:22 Marcels
Apr 16 14:31 Pitch Count Estimators
Mar 12 16:30 Appendix to THE BOOK - THE GORY DETAILS
Jan 29 09:41 NFL Overtime Idea
Jan 22 14:48 Weighting Years for NFL Player Projections
Jan 21 09:18 positional runs in pythagenpat
Oct 20 15:57 DRS: FG vs. BB-Ref

Advanced

Tangotiger Blog

A blog about baseball, hockey, life, and whatever else there is.

Thursday, January 02, 2020

Statcast Lab: Layered wOBA

?Several weeks back, I introduced the concept of Layered Hit Probability (and by extension Layered wOBA).  The objective is straightforward: we see a hit happened, and our job is to simply answer why? and how?.  How much was due to the exit velocity?  How much to the launch angle?  The spray direction?  The fielding alignment?  The park configuration?  The temperature?  By layering the various considerations, we can then isolate all those factors.

As a first step, since the one factor that is both the most important as well as linked to the batter himself is the exit velocity, we'll start with that.  Now, you may think this is an easy step: check to see how the league does at each exit velocity, use that as the baseline, and compare the batted ball to that baseline.  In theory that sounds fine.  But, this is what that looks like:

So what does this say?  Taken literally, it would suggest not to hit the ball much harder than 112 mph, because after that point, the wOBA flattens or goes down.  But, look what happens when we compare the actual wOBA to our model that uses the speed AND angle:

This might give us more insight.  The model knows that the harder you hit the ball, the better the outcome... GIVEN a launch angle.  So what the above shows is that the really hard hit balls, those close to 120 mph, must have alot of poor launch angles.  And this makes sense: the more flush you hit the ball, you gain speed, at the expense to loft.  In other words, more line drives and ground balls and fewer fly balls.  What you lose in HR, you gain in GB outs.  And that's why the wOBA is so low at the very high launch speeds.

What we want to do instead is "neutralize" the launch angle.  We take the league-wide spread in launch angles, and apply that to each exit velocity.  This way, the 120 mph bucket is made up of EXACTLY the same launch angle distribution as you'd find in the 100 mph bucket... even though we know in practice that does not happen.  When we do that, when we neutralize the launch-angle, now we see the effect, the relationship of wOBA to exit velocity.  And here we see that starting at around 85mph, wOBA ALWAYS goes up as exit velocity goes up.

?

And this angle-neutralized wOBA is our baseline, what we will compare our actual wOBA against.  And if you find that your actual wOBA is below this baseline, which you can see happens at 120 mph, then we can easily explain it by the next layer: your launch angle wasn't good enough.

Stay tuned, as my next post will give us leaderboards for the Exit Velocity component in the Layered wOBA.

(1) Comments • 2020/01/02 • Statcast

Latest...

COMMENTS

Feb 07 15:38
Aging Curve - Swing Speed

Feb 06 11:55
Batting Average as a proxy for fun!  Batting Average as a proxy for fun?

Feb 03 20:21
Valuation implication of straying from the .300 win% replacement level

Jan 31 13:35
Breaking into the Sports Industry WITHOUT learning to code

Jan 26 16:27
Statcast: Update to Catcher Framing

Jan 19 15:02
Young players don’t like the MLB pay scale, while veteran stars love it

Jan 14 23:32
Statcast Lab: Distance/Time Model to Catcher Throwing Out Runners

Jan 07 13:54
How can you measure pitch speed by counting frames?

Jan 02 17:43
Run Value with runners on base v bases empty

Dec 28 13:56
Run Values of Pitches: Final v Intermediate

Dec 27 13:56
Hall of Fame voting structure problem

Dec 23 19:24
What does Andre Pallante know about the platoon disadvantage that everyone else does not?

Dec 21 14:02
Run Values by Movement and Arm Angles

Dec 18 20:45
Should a batter have a steeper or flatter swing (part 2)?

Dec 18 16:19
Art and Science of WAR: Deriving the zero-baseline, historically

THREADS

January 02, 2020
Statcast Lab: Layered wOBA