Women’s football analytics, led by advanced data platforms like Opta, are reshaping how teams compete, fans engage, and betting markets operate. With record-breaking viewership and revenue growth, women’s football now demands and deserves analytics as sophisticated as the game itself. Early adopters leveraging these insights gain a clear edge in a rapidly expanding, dynamic market. Opta’s data also helps shatter misconceptions by showcasing the sport’s evolution through its extensive archives. For example, the UEFA Women’s Euro 2025 recorded the highest successful passes per game (655) and passing accuracy (79.1%) of any women’s tournament since 2011, alongside the best shot conversion rate (12.2%) of the last eight major events.
What Makes Women’s Football Analytics the Future?
Women’s football has entered a new era of global recognition and investment.
The 2023 FIFA Women’s World Cup drew over two billion viewers worldwide, while the UEFA Women’s Euro 2025 set a new benchmark, drawing a cumulative live audience of over 400 million, making it the most-watched Women’s European Championship in history. Additionally, leagues like the Women’s Super League (WSL) and National Women’s Soccer League (NWSL) have achieved double-digit annual increases in attendance and commercial revenue.
As the market grows, the demand for robust, actionable analytics surges:
- Teams and Coaches: Use tailored data to optimise tactics, player development, and recruitment.
- Fans and Media: Enjoy enhanced broadcasts and interactive experiences informed by real-time stats.
- Betting Operators: Rely on trusted, comprehensive data to build fair and dynamic markets.
Opta, covering over 90% of elite women’s football leagues and offering dedicated models for women’s competitions, delivers the trusted analytics foundation needed for this new era.
What Makes Opta’s Analytics Stand Out for Women’s Football?
- Custom-Built Models: Unlike repurposed men’s data, Opta’s analytics for women’s football are built from the ground up using women-specific datasets, accounting for different scoring patterns, tactical styles, and athlete physiology.
- AI-Driven Precision: Every tracked on-field event is processed using advanced AI and machine learning, measuring 35+ contextual factors for maximum accuracy.
- Real-Time Feeds: Deliver immediate insights for coaches, broadcasters, betting operators, and fans.
Key Metrics Powering Women’s Football Analytics
- Expected Goals (xG): Quantifies shot quality and the probability a scoring chance results in a goal. Opta’s women’s xG model considers unique aspects like a greater influence of distance from goal.
- Expected Threat (xT): Goes beyond just shots – xT assesses how each action (like passes or dribbles) increases the likelihood of a future goal, offering a more holistic tactical view.
- Player & Ball Tracking: Captures movement, pressing, passing networks, and defensive contributions, giving teams advanced, granular performance analysis.
- Live Data APIs and Widgets: Opta’s feeds power live commentary, fan engagement tools, and betting markets, helping supporters, clubs, and sportsbooks make smarter decisions in real time.
Case Study: Unlocking Deeper Insights in Women’s Football
Context: In a 2023–24 Women’s Super League match between Chelsea and Manchester City, traditional stats showed Chelsea winning 2–0. However, Opta’s analytics uncovered far more.
- Chelsea dominated xT (Expected Threat), accumulating 1.8 from 62% possession. Their play featured more progressive passes and successful dribbles into dangerous areas, explaining their sustained pressure and goals.
- Manchester City’s lower xT (0.9), despite decent possession, highlighted inefficiencies in converting possession into actual scoring chances.
Takeaway: Analytics like xT allow teams, bettors, and fans to see beyond the scoreboard, identifying effective tactics, pinpointing areas for improvement, and refining both betting and coaching strategies.
Why Now? The Opportunity Ahead for Analytics in Women’s Football
- First-Mover Advantage: Early investors in women’s sports analytics stand to gain in performance, fan engagement, and commercial growth. Continual Innovation: Opta is advancing new metrics like Expected Goals on Target (xGOT) and granular possession value stats, keeping analytics ahead of the curve.
- Engagement and Growth: As quality metrics become standard, women’s sports will see deeper fan loyalty, better tactical decisions, and more sophisticated sponsorship and betting markets.
- Get Started: If you’re ready to harness the full power of women’s sports analytics, whether for team strategy, fan experiences, or betting platform development, connect with Stats Perform for real-time, AI-powered insights.
Parity is Power
One of the most powerful outcomes of having rich, dedicated datasets in women’s football is the ability to make true, like-for-like comparisons with the men’s game – and to do so with authority. This is where parity becomes a driver of both credibility and commercial growth.
Take Chloe Kelly’s winning penalty for England in the UEFA Women’s Euro 2025 final to beat World Champions Spain. Ball-tracking data showed it was struck harder (110km/h) than any penalty scored in the men’s Premier League last season. Without high-resolution women’s-specific data, moments like this could easily be lost in anecdote, dismissed, or simply never measured.
By having parity in the data provision means broadcasters, analysts, and fans can talk about the women’s game on exactly the same statistical footing as the men’s – breaking stereotypes, challenging outdated assumptions, and showing the elite athletic standards on display. For betting operators, it ensures the same integrity, depth, and trust that underpin markets in men’s football.
This level of comparison is only possible when data is collected and modelled for the women’s game from the ground up, as Opta does. That’s why Stats Perform, through Opta, remains the market leader – it’s not just about having numbers, it’s about ensuring those numbers carry equal weight and context across the sport as a whole.
