Analysis of FIFA 2023 Women's World Cup match performance according to match outcome and phase of the tournament
View abstract on PubMed
Summary
This summary is machine-generated.Winning teams in the FIFA 2023 Women's World Cup excelled in key offensive statistics and possession play. Defensive pressure varied significantly by match outcome, with losses showing higher pressing intensity.
Area Of Science
- Sports Science
- Football Analytics
- Performance Analysis
Background
- Understanding match performance is crucial for optimizing training and tactics in elite women's football.
- The FIFA Women's World Cup provides a unique dataset for analyzing high-level international competition.
Purpose Of The Study
- To analyze FIFA 2023 Women's World Cup match performance based on match outcome (win, draw, loss) and tournament phase (group, knockout).
- To identify key performance indicators that differentiate successful from unsuccessful teams.
Main Methods
- Analysis of 64 matches involving 32 national teams from the FIFA 2023 Women's World Cup.
- Data collected from post-match reports, categorized into key statistics, possession, defensive pressure, and physical performance variables.
- Variables were calculated per minute and analyzed according to match outcome and tournament phase.
Main Results
- Winning teams demonstrated superior possession, goals, shots on target, and final third entries compared to draws or losses.
- Significant differences were found in build-up play (wins > draws/losses) and high pressing (wins > losses).
- Losses exhibited greater total pressure, outward pressing direction, and ball recovery time, with physical performance showing minimal differences except for distance covered in zone 1.
Conclusions
- Match outcome significantly influences various performance metrics in women's international football.
- Defensive pressure and possession-based statistics are key differentiators between winning and losing teams.
- This analysis provides valuable insights for national teams to refine strategies based on match context.
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