PCB Embraces AI for Player Selection, Aims to Revitalize National Team

PCB Embraces AI for Player Selection, Aims to Revitalize National Team

Pakistan Cricket Board (PCB) has taken an innovative approach to talent identification by incorporating artificial intelligence (AI) into its player selection process. This move marks a significant shift in the way cricket boards approach player recruitment and development.

PCB Chairman Mohsin Naqvi revealed that 80% of the 150 players selected for the upcoming Champions Cup will be chosen using AI, while the remaining 20% will be selected by the human selection committee. This decision stems from the board’s recognition of the need to address the underperformance of the national team, particularly in the wake of recent defeats.

Naqvi emphasized the importance of having a robust player pool to draw from, which has been lacking in the past. The Champions Cup will provide a platform for identifying and evaluating potential talent, creating a comprehensive database of player records.

The use of AI in player selection is expected to enhance transparency and objectivity in the process. By relying on data-driven insights, the board aims to minimize the influence of personal biases and ensure that players are selected based on their performance and potential.

Naqvi stressed that the selection committee will not hesitate to replace underperforming players with better options. The Champions Cup will provide a continuous stream of data, allowing the board to monitor player performance and make informed decisions.

This innovative approach to player selection is a testament to the PCB’s commitment to improving the performance of the national team. By embracing technology and data analytics, the board is setting a precedent for other cricket boards to follow.

England Women Use AI to Enhance Selection Process

England Women Use AI to Enhance Selection Process

England Women’s cricket team is embracing artificial intelligence (AI) to enhance their selection process. Head coach Jon Lewis credits AI with playing a crucial role in their drawn Ashes series last year.

Lewis first encountered the technology from London-based company PSi while coaching in the Women’s Premier League (WPL). The system allows coaching staff to simulate various match-ups and scenarios.

“We can run simulated teams against simulated opposition to understand how they might match up,” Lewis explained. “I can send multiple lineups, and they run approximately 250,000 simulations per team, considering all possible permutations.”

Lewis emphasizes that AI is not the sole determinant of team selection but rather a valuable tool to inform decisions. “We used it successfully in the Ashes last summer to match up against the Australian side,” he said.

However, Lewis acknowledges the limitations of historical data in the women’s game, which can impact the accuracy of AI simulations. He believes this will improve as the international schedule and franchise scene expand.

While AI can assist in borderline selection calls, Lewis prioritizes a people-first approach. “We’re on the ground with the players, and that’s our primary consideration,” he said. “But AI is a fascinating tool that complements our cricketing judgment.”

Lewis highlighted the T20I leg of last summer’s Ashes as an example where AI proved beneficial. “We identified a strength in Australia and matched our best bowlers to that part of the game,” he said. “It helped us win the T20 series and get back into the Ashes.”

Beyond data analysis, England Women have also engaged in team-building exercises, including cold-water swimming, to foster resilience and clear thinking under pressure.

“Cricket is a tactical game that requires clear thinking and anxiety management,” Lewis said. “By taking players out of their comfort zones, we encourage them to voice opinions, support each other, and connect on a deeper level.”

The players’ honest discussions about their fears and anxieties will enable the coaching staff to support their personal growth and enhance their performance on the field.

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