For a long time, workload management in cricket was based on simple logic. Overs bowled, minutes batted, days spent on tour.
Coaches relied on experience and instinct, and players trusted their own feel, and that approach held up when calendars were lighter and formats were fewer.
That said, it stopped working once international cricket became a year-round schedule. By the early 2010s, injuries among fast bowlers were becoming more frequent, and recovery windows were becoming smaller. Teams needed more than intuition, and that’s when player tracking wearables became very handy.
When Wearables First Appeared in Elite Cricket?
Now, wearables didn’t exactly penetrate the cricket scene in one go. Australia was among the earliest users of these wearables.
Cricket Australia confirmed around 2014 that their national teams had begun using GPS tracking systems supplied by Catapult Sports.
The focus was narrow at first, with fast bowlers being monitored during training and match simulations to understand cumulative stress.
England followed a similar path. The ECB’s high-performance unit began integrating GPS data into training loads during the mid-2010s, particularly for multi-format players.
The technology stayed mostly invisible to fans at the time, but by the end of the decade, wearable tracking had become standard across top international sides.
India, initially more conservative, began expanding its use after the establishment of the National Cricket Academy’s upgraded sports science wing. By the late 2010s, workload tracking was part of central contracts, especially for pace bowlers moving between Tests, ODIs, and T20s.
What These Devices Actually Measure?
Despite how they’re sometimes described, cricket wearables are more than about counting steps and tracking speed. The core data comes from GPS and inertial sensors worn between the shoulder blades during training sessions.
So, with these, teams track distance covered, high-intensity running, acceleration and deceleration patterns, and session intensity.
For bowlers, this is paired with bowling-specific data, including frequency of deliveries, run-up speed, and changes in effort across spells.
This information is then matched with session RPE, or rate of perceived exertion, where players report how demanding a session felt.
Moving Beyond Overs Bowled
By the late 2010s, teams had largely moved away from using overs as the primary workload metric. Sports science departments began focusing on workload spikes instead. A bowler increasing intensity too quickly, even within normal volume, was considered a risk.
The Australian Institute of Sport and ECB both published material explaining the acute versus chronic workload model, which tracks short-term increases against longer-term averages. This helped teams understand why a player could break down after what looked like a normal week.
This also changed how rest decisions were explained publicly. Players were no longer rested because they looked tired. They were rested because data suggested a risk window.
Around this point, data-led interpretations of player availability also began reaching fans through analysts and platforms like 10CRIC, which discuss cricket using algorithm-driven models rather than gut feel.
The goal in these spaces is not just for predictions, but for context. Why a player might sit out, and why that decision makes sense beyond form or fitness optics.
What Players and Coaches Have Said About the Tech?
James Anderson has spoken openly about how monitoring extended his career. In interviews with ESPNcricinfo and The Guardian, he explained that understanding training loads allowed him to adjust sessions rather than blindly push through them.
Pat Cummins has echoed similar views. Speaking to Australian media, he described how Cricket Australia’s monitoring helped identify when he needed to reduce intensity even if he felt fine. Cummins noted that younger versions of himself would have bowled through those periods, often with consequences.
Joe Root, discussing workload during England’s packed schedules, said the data helped him understand when fatigue was accumulating even if performance had not dropped. He stressed that numbers supported decision-making rather than replacing it.
What’s interesting is that none of these players described wearables as controlling. They mainly described them as reference points.
How Wearables Changed Selection and Rotation?
One visible outcome of tracking technology is rotation. Fans often question why fit players are rested during major series. Wearables gave teams the evidence to justify those calls internally and externally.
India’s management has repeatedly referenced workload data when managing fast bowlers across formats. Australia’s rotation of quicks during long home summers follows similar logic. England’s rest policies for multi-format players also rely heavily on tracking reports.
Pushback and Limits
Now, not every player embraced wearables immediately. Some have expressed concern about over-monitoring and reduced autonomy.
Coaches have acknowledged this tension, but most teams emphasise that data informs decisions, and shouldn’t really dictate them.
That said, a bowler can still argue for selection, and abatter can still play through fatigue. The difference is that choices are now made with clearer awareness of consequences.
Conclusion: Why Wearables Are Now Standard
Overall, in modern cricket, workload tracking is no longer optional. The calendar is just too crowded, and the margins are too small. Teams without these systems risk repeating the injury cycles that defined the early 2010s.
Still, we can say that wearables didn’t really make cricket safer overnight. What they did was replace guesswork with evidence, and in a sport where careers are often decided by availability, that change is mostly changing the sport for the good.
