Analytics Pinpoint Rise of Time-Wasting in Football
Time-wasting is getting worse in the Premier League, according to a recent BBC Sport investigation. Analysts are now using event data to quantify lost minutes and identify specific teams and players who strategically deploy these tactics. The trend presents a new niche for performance analysts to provide actionable insights to coaches and officials.
The crackdown on time-wasting is a direct response to shrinking "ball-in-play" time. In some recent Premier League seasons, the ball was in play for an average of just 55 minutes per game, a significant drop from previous years. In extreme cases, individual matches have seen the ball in play for as little as 45 minutes and 55 seconds, meaning fans watched a game where nothing happened for over 63 minutes. Performance analysts identify these trends by dissecting event data from sources like Hudl Wyscout and tracking data from wearable tech. They analyze the time taken for every set-piece, throw-in, and substitution, creating patterns of opponent behavior. This allows coaches to prepare their teams for expected delays and present objective data to officials. In the Indian sports ecosystem, IPL and ISL teams are increasingly hiring data scientists and performance analysts to gain a competitive edge. These analysts don't just focus on in-game performance but also apply portfolio optimization algorithms to auction strategy and use metrics like the Most Valuable Player Index (MVPI) to assess player impact beyond traditional stats. An entry-level Performance Analyst role in an ISL or IPL setup requires technical skills in Python or R for statistical modeling, SQL for database management, and data visualization tools like Power BI or Tableau to communicate insights to coaches and management. These roles involve everything from video analysis to building predictive models for match outcomes. To build a competitive portfolio, students can undertake projects using public datasets from platforms like Kaggle. Ideas include creating football shot maps with tracking data to analyze striker efficiency or developing a model to predict IPL match winners based on historical data, demonstrating practical analytical skills.
