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1 Deconstructing the Home Run Surge: 1 Deconstructing the Home Run Surge:

1 Deconstructing the Home Run Surge: - PowerPoint Presentation

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1 Deconstructing the Home Run Surge: - PPT Presentation

A Physicists Approach Alan M Nathan University of Illinois anathanillinoisedu pobguy baseballphysicsillinoisedu From Ben Lindbergh The Ringer 2 Possible Reasons for Surge ID: 638037

ball swing spin plane swing ball plane spin bat drag 2016 2015 physics data axis model illinois properties woba timing effects level

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Slide1

1

Deconstructing the Home Run Surge:A Physicist’s Approach

Alan M. Nathan, University of Illinois a-nathan@illinois.edu @pobguy baseball.physics.illinois.edu

From Ben Lindbergh, The RingerSlide2

2

Possible Reasons for Surge

Increased COR of baseballBall carries betterBatters alter swing Slide3

1. Increased COR (“bounciness”)Increased CORhigher exit speeds-> more HRI discussed this topic in my 2016 Saberseminar presentationSee Lindbergh/MGL Ringer article, May 2017I won’t further discuss here 3Slide4

lift

gravity

drag

2. Better “carry”

4

Physics 101 (vacuum!):

Fly ball distance

completely determined by EV,

LA

Real life: drag and

lift…

Properties of air

Properties of ball

Ball carries

better when travels farther for identical initial conditions

i.e., EV

, LA, direction, spin, spin axisSlide5

Reasons for different carryAtmospheric conditions changedTemperature, altitude, wind, …Can control for this w/covered stadiumProperties of ball changedDrag or lift coefficients CD, CLSize of ball AWant to control the first to study the second5Slide6

CD Variation from PITCHf/x(controlled for atmospheric effects)6Lots of variation of drag coefficientSlide7

MMP Experiment(Saberseminar 2015)7EV=96 mphLA=280

80-ft spread!Slide8

Physics InterludeCD is largest on smooth ball (“laminar flow”)CD is smaller on rough surface (“turbulant flow”)Plumbing: corregated pipes improve flowGolf: dimples reduce dragBaseball: seams reduce dragBut….But if seams too high, CD increases

Where is crossover?8Slide9

Drag and Seam Height9NCAAMiLBMLB

EV=96 mphLA=28

0Slide10

Rob Arthur’s AnalysisUse PITCHf/x or Trackman pitch-tracking data to extract average CD valuesLook at correlation with HR/FB10Slide11

11Slide12

My Approach12Use Trackman batted-ball trajectories from TBAatmospheric effects constantUse 2016-b data to fix model for CD and CL “training” data 5 parameters for dependence on spin, speedWith fixed model & given initial conditions, calculate trajectory for 2015-E, 2015-L, 2016-a, 2017-ECompare calculated with actual landing pointSpeed, angles, spin rate, spin axisSlide13

Fitting to Training Data13153 batted ballsEV>90 mph, LA=200-350

rms=2

ftSlide14

The Results: Actual-Calculated14~ 5 ftSlide15

Some CommentsThere is considerable ball-to-ball variation in CDOnly makes sense to compare averagesEach data set has 100-200 trajectoriesData shows ~5 ft increase from 2015-E to 2016, then constantEstimate: 5 ft~15% more HR15

~5

ftSlide16

Into the weeds….16CD = 0.02  (distance) ~8.5 ft

 ~25% more HR

sSlide17

ConclusionThere is evidence suggesting some (~15%) of increase in HR between 2015 and 2016 is due to reduced dragReminder: atmospheric effects held constant at TBABetter carry must be due to properties of ballData are consistent with no change in drag from 2016 to 201717Slide18

AfterthoughtOriginal motivation for this analysis was to build a new 3D Trajectory CalculatorSpreadsheet to calculate trajectories, given EV,LA,SA,spin rate,spin axisBeta version is readybaseball.physics.illinois.edu/TrajectoryCalculator-new-3D.xlsxFeedback welcome18Slide19

3. Batters alter swing19Slide20

wOBA vs. EV-LA(actually, wOBAcon)20Launch Angle (deg

)

Exit Speed (mph)Slide21

Possible Hitting StrategiesTo get 1Bhit hard and 100-150To hit xBHhit hard and 250-300To minimize timing errorsswing “level”

21

Question: How does batter adjust swing to optimize outcome?Slide22

Issues for swinging the bat(*things I will consider)*TimingGetting bat in right place at right timeSwing speedHigh!*Aim—where on bat impact occursAlong axis of bat (“sweet spot”)*Perpendicular to axis of bat (“offset”)*Swing plane22Slide23

Ball-Bat Collision Model(2D version)23Batter controls: = swing plane (attack angle)E= offset (“aim”)~Max EV when =

CL

Physics Model: (,E)EV,LASlide24

Swing Plane + Offset  EV+LA24

HR

1BSlide25

25Max wOBA:~240 swing plane

~1.1” offsetSlide26

Ex 1: Kris DaviswOBAcon=0.48826200

~20

0 swing planeSlide27

Ex 2: Ryan Zimmerman wOBAcon=0.3462770~100

swing planeSlide28

28

“level”

uppercut

Timing &

Swing Plane

Suppose swing mistimed by ~±3

ms

, or ~±4”

“Level” swing: E does not change

24

0

swing:

E

changes by ~

±0.8”

(!)

popup

weak grounderSlide29

29popupgrounder

Timing &

Swing Plane±0.8”Slide30

SummaryLA for max EV related to swing planeIn general, for given max EV, wOBA increases as swing plane increasesI have not done a complete statistical analysisWork in progress30Slide31

And finally….The beat goes on with the COR storySome evidence for reduced drag starting in 2016New Trajectory Calculator a by-productEV-LA a potentially useful toolMy view: The question of why the HR surge is still not fully answered31Slide32

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