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APS/DFD, Nov. 2009 1
The Flight of a BaseballAlan M. Nathan, University of Illinois
[email protected]://go.illinois.edu/physicsofbaseball
• Introduction
• PITCHf/x and HITf/x
• Using baseball to learn about physics
• Using physics to learn about baseball
-how pitchers do what they do
-how batters do what they do
APS/DFD, Nov. 2009 2
Forces on a Spinning Baseball in Flight
D2
D C1
ˆF = - ρAv v2
2LM
1ˆ ˆF = ρAv (ωC v)
2
v
ω
mg
FD
FM
• Drag slows ball down
• Magnus + mg deflects ball from straight line
APS/DFD, Nov. 2009 3
Real vs. “Physics 101” Trajectory: Effect of Drag and Magnus
APS/DFD, Nov. 2009 4
PITCHf/x and HITf/x• Two video cameras @60 fps
– “high home” and “high first”– tracks every pitch in every MLB ballpark
• all data publicly available on web!
– tracks initial trajectory of batted ball
• Used for analysis, TV broadcasts, MLB Gameday, etc.
Image, courtesy of Sportvision
APS/DFD, Nov. 2009 5
• Minimal parametrization of the trajectory– Constant acceleration works very well for pitched
ball – Batted balls: ???
• Determining Magnus acceleration– “spin movement” important for studying pitching
• Dealing with noisy data, miscalibrations, etc.• Keeping everyone honest
– Measurements have uncertainties!
So what good is a physicist in all this?
0 0(r , v ,a)
APS/DFD, Nov. 2009 6
Baseball Analysis:Using PITCHf/x to discover how
pitchers do what they do
“Hitting is timing. Pitching is upsetting timing.”
APS/DFD, Nov. 2009 7
home plate
Ex 1: Mariano Rivera: Why is he so good??
Three Reasons: Location, Location, Location
Home Runs
APS/DFD, Nov. 2009 8
Ex 2: “Late Break”: Truth or MythMariano Rivera’s Cut Fastball
View from above:actual trajectory --------linear extrapolation - - - -
APS/DFD, Nov. 2009 9
Josh Kalk, THT, 5/22/08
Ex 2a: What makes an effective slider
This slider is very effective since it looks like a fastball for over half the trajectory, then seems to drop at the last minute (“late break”).
0
1
2
3
4
5
6
7
0 10 20 30 40 50
C. C. Sabathia: FB vs. Slider
Distance from home plate (ft)
95 mph fastball
82 mph slider
~4 inches
~12 inches
side view
APS/DFD, Nov. 2009 10
>90 mph
80-90 mph
<80 mph
Ex 3: A Pitcher’s RepertoireLHP Jon Lester, August 2007
4-seam fastball
2-seam fastball
curveball
slider
Catcher’s View
4-seam fastball
2-seam fastball
curveball
slider
APS/DFD, Nov. 2009 11
Ex 4 Jon Lester vs. Brandon Webb
Brandon Webb is a “sinkerball” pitcher:Almost no rise on his fastball
15 inches
APS/DFD, Nov. 2009 12
Ex 5 The Knuckleball
Tim Wakefield is a knuckleball pitcher:Chaotic Movement
APS/DFD, Nov. 2009 13
Studies of Batted Balls• HITf/x v0,,
• Hittracker (Greg Rybarczyk)– Landing point– Flight time
• Together these constrain the full trajectory
APS/DFD, Nov. 2009 14
Hitting a Long Fly Ball
R vs. v0 R vs. 0
USEFUL BENCHMARK400 ft @ 103 mph
~5 ft per mph
peaks @ 25o-35o
APS/DFD, Nov. 2009 15
What Constitutes a Well-Hit Ball?
w/o home runs
home runs
HR
BABIP V0>90
APS/DFD, Nov. 2009 16
Putting Spin on Batted Balls
• undercutting/overcutting backspin/topspin– upward/downward Magnus force
• In front or behind sidespin– sideways Magnus force
friction
normal forcevfriction
APS/DFD, Nov. 2009 17
Some Familiar Effects Due to Spin
• Balls hit to left/right break toward foul line
APS/DFD, Nov. 2009 18
Extract sidespin vs. from trajectoryCF
RF
break to right
break to left
LF
• Balls break toward foul pole• Break increases with angle• Ball hit to CF slices
LHH/RHH asymmetry Tilt in bat
RF
RHH
LHHLF RF
APS/DFD, Nov. 2009 19
APS/DFD, Nov. 2009 20
Some Familiar Effects Due to Spin
• Balls hit to left/right break toward foul line
• Topspin makes line drives nose-dive
• Backspin keeps fly ball in air longer
• Tricky popups to infield
0
50
100
150
200
250
-100 0 100 200 300 400
1.5
0
0.25
0.5 0.75
1.02.0
0.75
???
APS/DFD, Nov. 2009 21
Paradoxical Popups
Watch for fielder’s confusion and for bounce of ball
APS/DFD, Nov. 2009 22
HITf/x+hittracker Analysis: The “carry” of a fly ball
• Motivation: does the ball carry especially well in the new Yankee Stadium? • “carry” ≡ (actual distance)/(vacuum distance)
for same initial conditions
(379,20,5.2)
APS/DFD, Nov. 2009 23
HITf/x + hittracker Analysis:4354 HR from 2009
Denver
Cleveland Yankee Stadium
APS/DFD, Nov. 2009 24
Summary We are on the verge of major
breakthrough on our ability to track baseballs and determine the aerodynamic effects
The new tools I have discussed are already revolutionizing baseball analysis
And the tools are getting better….
So, fun times ahead for me…
…shown here doing experimental baseball physics