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Development of Statistics in Baseball (Internet / Big Data (Efficiency…
Development of Statistics in Baseball
Internet / Big Data
Efficiency
Analysis
Interpretation of the data found
LSRL (least-square regression line)
Shorter time
Calculation
Storing information
1971, Society of American Baseball Research
No Sabermatrics
"tabulators"
Fancy machines
calculations / conclusions
SABR--new
Paper-based
Not enough "memory"
Computers available--only for calculaton
Not much computers
Business Machine
Newly found techniques--applied
microprocessor
semiconductor memory chip
No Interet also
Linked 23 computers, for private researches
Development of Computer
More memory
Exponential growth
More "trials"
More available
Own Personally
More personal Research
Future
More to Audience
More "to the field"
Make own prediction at home
Benefit of watching baseball at home
Artificial Intelligence
Advanced Statistics / Measurement
More future applications
Own Predictions
History
Henry Chadwick
1st person to keep trach of the records
Before--no
"sleep-inspiring game"
from cricket
former cricket player
cricket reporter for the NYT (1856)
Effort
Documented Statistics
Errors
Strikeouts with "K"
Run
Basis of the future additions
No Photography...
Box Scores
*
Professional Baseball League
Problems
"Dead-ball Era"
Tactics not seen now
Now--> considered "different"
More Audience
Not enough seats, requiring larger stadiums
After the 1st/2nd World War
1876, National League
After "Negro Leagues"
First Professional League, teams around the nation
Other Leagues--failed
Photography
Motion Capture
FIELDf/x (
http://www.businessinsider.com/fieldfx-sportvision-technology-baseball-tracking-2011-03
)
New Statistics developed in 2013
Park Factor, the angle of hitting, etc.
Based on capturing images
Further Analysis
Player's analysis
Reflection
Review
Coach / team
Improvement
Broadcast
Continued capturing of strike zone
Advanced video taking
Own Statistics
Korea
"Cass Point"
Attract audience
Higher Interest
