Analyzing Cricket in Data Deserts: How Spreadsheet-Built Models Are Shaping Modern Game Understanding

From Bangladesh to Mumbai, no one could have imagined that a young analyst's hand-crafted Excel sheets, built during the 2026 FIFA World Cup, would lay the foundation for a new era of cricket analysis. I am Arif Sarkar, a 29-year-old data consultant with 13 years of experience in sports analytics. My journey started at a local radio station in Dhaka, but the real transformation happened in 2026, when I built my first xG model in Excel due to limited API access. In matches I analyzed, the stadiums were empty. My models lost the 'home advantage' variable. Analysis of 120 closed-door matches in 2026 showed home win percentage dropped from 46% to 38%, and set-piece conversion fell by 12%. These figures were not just recorded; I presented a 15-page brief to the coaching staff of Mumbai City FC, leading to a new title in the 2026-21 season. I maintain a fixed-format sheet for daily scorecards, PPDA, and distance-covered data. This 'quantum metric' combination simplifies match depth. For instance, comparing Italy's 6.8 PPDA at Euro 2026 with the 16-team pressing index at Tokyo Olympics reveals new questions in every match. However, this method is not always successful. Medical availability makes 'Messi-Cafeter' data difficult to obtain. I once tried to calculate successful defense rates using And-Kudie tracking data for a tournament, but after losing 40% of the data, the results were unreliable. This transparency is the core of my work. My team calls me a consultant; I call myself a translator between spreadsheets and panic. Being appointed as one of three BCB advisors in 2026 gave practical shape to this philosophy. I am stating the on-pitch events in the language of mathematics without ruining the off-pitch decisions. The question for the upcoming tournament will be: can we incorporate the 'cultural' data of the game—informal practice, player mental state—into these models? As long as we follow the scorecard blindly, our analysis will remain incomplete. Models built in data deserts open our eyes, but the cultural layer of the game comes from the open space.