Basics
This is the process of collecting and organizing raw sports data for analysis
data collection
Using data to decide when to go for it on 4th down is an example of this type of decision-making.
data-driven decision making
This sport was revolutionized by analytics in the book Moneyball.
baseball
The concern that too much data use may reduce the “human element” in sports decision-making is known as this.
over-reliance on analytics
This type of data includes numbers like points, rebounds, or yards.
quantitative data
Teams shifting defensive players in baseball based on hitter tendencies is called this.
defensive shift
The Oakland A’s GM featured in Moneyball.
Billy Beane
When teams collect detailed biometric and performance data from athletes, this issue often arises.
player privacy
Data collected from surveys or interviews falls under this category
qualitative data
Tracking player movement using cameras and sensors falls under this type of technology.
player tracking (or wearable technology)
This baseball stat was heavily emphasized in the Moneyball approach instead of batting average.
on-base percentage
This ethical concern involves teams using data to gain an unfair advantage through rule-bending or surveillance.
cheating (or unethical competitive advantage)
This tool is commonly used to store, organize, and analyze sports data.
spreadsheet (Excel)?
Load management decisions in sports like the NBA rely heavily on this type of data.
player health/performance data
This NBA team is known for embracing the 3-point revolution through analytics.
Houston Rockets
The average of a dataset is also called this
Mean
When data is free from errors and inconsistencies, it is considered this.
clean data?
Using algorithms to predict game outcomes is an example of this field
predictive analytics
This company is famous for providing advanced sports data and analytics across leagues.
STATS Perform?
Teams use analytics to set ticket prices based on demand, known as this.
dynamic pricing