User:MichaelAlbertine/Sports analytics

Baseball
The game of baseball has came a long way, from no helmets to hats, from hats to helmets, from No data to Data.

In the early ages of baseball, the hitters had not insight on what the pitcher throws for a pitch sequence how much spin rate a pitch has. In today's game and the use of AI and analytics now shows hitters before the game the pitcher's spin rate and it also track patterns that a pitcher throws different pitches in.

For the other side of this, it can also benefit the pitcher. As in Today's game AI and analytics can help the pitcher by showing which pitches certain hitters struggle at hitting. It can also show which parts of the strike zone hitters don't like hitting, so the pitcher can try to throw it to those spots of the strike zone to give himself an advantage.

Basketball
The game of basketball has also come along way, starting with a peach basket with no backboard to now with a glass backboard and a stable rim. ￼

In the early ages of basketball, the high percentage shot was close to the basketball as why shoot it farther for less points. Now they NBA and other leagues have implemented a Three-point line, which now players can shoot from and earn three points instead of two. So, for that reason, the players have become multi-dimensional and harder to defend. The use of AI and analytics can show defenders how to guard certain players based on how well they shoot from three-point range and if they don't shoot well from there, then the defender can back off and force him to shoot.

AI and analytics has also had a big impact on coaching. As for late game scenarios and when to use their Timeouts and what defense to run. Which players are their best defenders based on the Analytics. As well as the best shooters based on the percentages and Analytics. Certain teams in the NBA have coaches that all they do is look at the data and analytics to assist the head coach on making in game adjustments.