In computer science, „baseball“ does not have an established meaning as a term specific to the field. However, in a broader context, „baseball“ can sometimes refer to statistical modeling and analysis in sports analytics. This involves the use of computer algorithms and statistical methods to analyze players’ performance, game strategies, and overall team performance in baseball. Techniques such as regression analysis, machine learning, or simulation may be employed to predict outcomes or evaluate player efficiency. Additionally, „baseball“ may be casually used in examples or analogies when explaining concepts like sequential data processing or event-driven programming, drawing parallels to the components and structure of the game itself.
Osmnáctiletý Shota Morii z Tokia podepsal smlouvu s Oakland Athletics v nižší lize, usilující o kariéru v MLB jako dvoucestný hráč. Morii obcházel profesionální ligy v Japonsku a zvolil jedinečnou…