Predictive Analytics
[pri-dik-tiv uh-nuh-lit-iks]
/prɪˈdɪktɪv əˈnælɪtɪks/
Noun
The use of statistical techniques, machine learning, and data mining to analyze historical data and make predictions about future events or behaviors.
Predictive analytics uses data, statistical algorithms, and machine learning to identify future outcomes based on historical data. It helps runners optimize training by predicting performance trends and injury risks. For example, wearable devices collect data on pace, heart rate, and recovery, which can be analyzed to forecast race times or suggest rest days. This matters to runners as it enables personalized training plans, enhances performance, and reduces injury likelihood, ultimately leading to more effective and efficient training regimens.