Data Revolution in Bangladesh Cricket: New Horizons Through Statistics

While the batsman is swinging his bat on the cricket field, a different game is being played on laptop screens in the dressing room behind. The game of numbers. The biggest change in Bangladesh cricket right now is happening off the field — in the world of data analysis. When I was interviewing Soumya Sarkar as a Daily Star journalist in 2026, I never imagined that within a few years, this team's decision-making process would become so data-driven. According to a recent announcement by the Bangladesh Cricket Board (BCB), a new analytics team has been added to the national team. This team's work ranges from pre-match analysis to player selection. While many have welcomed this initiative from BCB, many have also questioned whether this data-driven approach can truly change the face of Bangladesh cricket. I am researching with a Master's degree in Kinesiology, and this aspect of cricket data analysis is particularly important to me. Because the essence of sports science is — movement, technique, and statistics — only when these three aspects come together does real success come. The beginning of data analysis in Bangladesh cricket is not new. Since 2026, BCB has gradually started adopting this approach. However, investment in this sector has increased recently. The new analytics team at BCB includes internationally renowned data scientists. Their job is to analyze the strengths and weaknesses of opposing team players, gather information about pitch behavior, and determine what kind of strategies should be adopted in various match situations. But the question is — is this data actually being used? I have analyzed statistics from the last three matches — Bangladesh's average run rate in powerplay overs has increased somewhat. However, whether this change is due to data or the players' individual improvement — it's difficult to say with certainty. This brings me to my core observation. The biggest challenge of data analysis is — no matter how precise the data is, the reality on the field is always different. When I watched the Croatia-England match at Luzhniki Stadium in 2026 with a notebook, I logged 47 positional snapshots. Later, after rewatching the video, I saw — my assumptions were correct in 80 percent of cases. But the 20 percent that were wrong taught me the most. The same problem is visible in data analysis in Bangladesh cricket. No matter how perfect the models data scientists create, the uncertainty of cricket will always remain. A ball can take a wicket at any time, and that single ball can change the entire picture of the match. In my opinion, the biggest potential for data analysis in Bangladesh cricket lies in player selection. Currently, selectors mainly select the team based on players' recent form and experience. But if data analysis can be used to analyze a player's performance in specific conditions (such as — on spin-friendly pitches), then team selection will be even more precise. However, a caution is needed here. During Project Restart in 2026, I analyzed 92 matches. I assumed that defensive discipline would break down in empty stadiums. But my measurements showed — the defensive line rose by an average of only 1.4 meters. My supervisor told me that this null result was the actual finding. I resisted for two weeks, then accepted it and rewrote the paper. The same principle applies to Bangladesh cricket's data journey. The results of data analysis will not always meet expectations. But that should not disappoint us. Because in the world of cricket, a null result is also a result — it helps us move our future plans in the right direction. I believe BCB's data-driven approach will make Bangladesh cricket more competitive in the long run. However, we will need to wait a bit longer to see the results of this change. Because in a sport like cricket, the impact of data is not immediate, but rather gradually unfolds. My notebook is still open. I am waiting — when this data journey in Bangladesh cricket will truly see the face of success.