In the recent Test match in Adelaide, some people believe India didn’t bowl enough short balls to Travis Head. But statistics from CricViz show that 24% of the deliveries thrown at him were short balls. That’s around 34 deliveries, which is a decent amount. However, the important thing isn’t just about bowling short; it’s also about where these balls are aimed.
When facing short balls, Head has different averages. He’s great against balls that are wide outside off-stump, averaging 173.0. If the ball is in a channel, he averages 83.5. When the ball is aimed at the stumps, he averages 60.7. But here’s the surprising fact: when bowlers throw short balls into his body, he averages just 20.6. India bowled only five balls at him in that area. There’s no guarantee that a good ball in the body would get him out, but the chances of taking his wicket would definitely increase.
Data analyst Himanish Ganjoo, who worked with the Indian team, pointed out the importance of using data in cricket. He explained that data helps players and captains plan strategies. Just like in other sports, using the right information can help in making better decisions, particularly in Test matches where winning often requires getting wickets.
Ganjoo mentioned that the Indian team wasn’t able to focus on Head’s weak spots, including the area into his body. This might have been why they didn’t succeed in getting him out. He also discussed how cricket can be about outcomes. If things go well, everyone assumes the plan was right. But if they don’t, people think the strategy was bad.
He believes the right use of data can help captains make better decisions. Some experienced players, like MS Dhoni and Jasprit Bumrah, might not need data as much because they rely on their experience. But younger players can greatly benefit from data to improve quickly.
Moving forward, Indian cricket should consider using data more effectively to enhance their performances.