London, Oct 5: England have quietly revolutionised their approach to team selection, becoming the first cricketing nation to use artificial intelligence (AI) as an integral part of their decision-making process — a move that is now reshaping traditional notions of coaching, selection, and strategy.
The transformation began when Jon Lewis, head coach of England’s women’s team, revealed that his staff had used AI tools to make selection decisions — most notably during the 2023 Women’s Ashes, when data models recommended leg-spinner Sarah Glenn over off-spinner Charlie Dean for a one-day international in Bristol.
While historical statistics favoured Dean, AI analysis indicated Glenn’s ability to restrict boundaries in middle overs — a crucial phase where Australia typically dominated. The decision paid off: Glenn conceded only one boundary in seven overs as England won by two wickets.
“The AI highlighted a pattern in how Australia batted,” Lewis explained. “It allowed us to make a well-informed choice based on conditions and opposition tendencies. Selecting the right XI is the coach’s most fundamental duty, and AI provides science-backed clarity — especially for those 50-50 calls.” England’s collaboration with Prospect Sporting Insights, a Wimbledon-based sports analytics firm, has seen the system simulate up to 250,000 match scenarios to predict win probabilities for different team combinations. Similar models are already used in the IPL, WPL, and major U.S. sports leagues, but England are the first cricket board to implement them comprehensively across both men’s and women’s setups.
Under Stafford Murray, the ECB’s Head of Analysis and Insights, the data revolution has accelerated. The iHawk system, introduced in 2023, captures ball-tracking data directly from umpires’ chest-mounted cameras, recording speeds, lengths, and movement.
This data helps identify bowlers of “international calibre” and predict ground behaviour and player matchups. AI then merges this information to evaluate a player’s overall impact on match outcomes — a leap beyond traditional averages or strike rates.
“We’re not just giving selectors raw numbers,” Murray said. “We’re showing how much a player’s spell or innings influences the likelihood of winning. We are the only country doing this.”
This new analytical approach has influenced several recent selections. Players such as Josh Tongue, Tom Hartley, and Shoaib Bashir earned Test call-ups based on data-backed insights rather than conventional statistics. The decision to phase out veteran James Anderson was also data-supported, linking success in Australian conditions to higher bowling speeds — a metric he no longer met.
Former national selector Ed Smith acknowledged that AI’s role has evolved from basic statistics to predictive intelligence.
“You’re trying to gain a deeper, X-ray vision of performance,” Smith said. “But the art of selection still lies in balancing data, scouting, and instinct.”
Despite fears of technology overriding human judgment, both Smith and Murray insist AI is a tool, not a replacement.
“Machines can process information faster, but they can’t sense what a captain feels on the field,” Murray said. “Cricket still needs intuition — that’s the fun part. If everything could be measured, sport would lose its soul.”
As England continue to blend machine precision with human insight, their AI-driven selection system stands as one of the boldest experiments in modern cricket — one that could soon become the global standard for how teams are built and victories are engineered. (Agencies)
