Women’s World Cup • 2019 & 2023 • StatsBomb

Field Position at the Women’s World Cup

Where a team wins the ball back is one of the simplest spatial signals in football—and a useful baseline for chance creation. This piece uses StatsBomb open event data from the 2019 and 2023 FIFA Women’s World Cups, with each team-year kept separate (USA 2019 vs USA 2023).

What “Field Position” Means

The field position metric is the straight-line distance from the center of the opponent’s goal to the point where that possession begins—typically where a team recovers the ball, receives a throw-in, or otherwise restarts play.

Teams that consistently win the ball closer to the opponent’s goal are pressing higher, forcing turnovers in dangerous areas, or otherwise starting attacks from more advanced field position. That does not guarantee goals on its own—but it changes the baseline for how valuable each possession should be.

Diagram of a soccer pitch showing a line from the center of the goal to a ball about 40 yards out
A possession starting outside the box might sit around 40 yards from goal. Closer recoveries leave less ground to cover before a shot.

Intuitively, the relationship is simple: the closer you start to goal, the more expected goals that possession should produce. Less distance to progress, less time for the defense to recover, and a shorter path into the penalty area. By the same logic, teams that force their opponents to start far from goal make it harder to generate goal scoring opportunities against them.

What the Data Shows (Women’s World Cup)

Using StatsBomb event data for the 2019 and 2023 FIFA Women’s World Cups, every possession gets a real starting coordinate from the first located event in that possession chain. Goal kicks, penalties, and penalty-kick rebound sequences are excluded because they begin from fixed restart spots (or sit on the penalty spot with outsized xG). When a possession ends in one or more open-play shots, those shots’ StatsBomb xG values are attached to that same possession.

Average xG per possession by starting distance from goal across ~20,500 possessions in the 2019 and 2023 FIFA Women’s World Cups (StatsBomb open data). Marker size scales with possessions in each 5-yard bin.

Who Wins the Ball Closest?

Average starting distance from goal ranks how high each team-year typically begins possessions. Lower yards means closer to the opponent’s goal. To test whether that territory matters, the table pairs the metric with group-stage points and goal difference (knockout games are not scored as points) plus the furthest stage each team reached.

Built from StatsBomb open-data events: true possession starts across the whole tournament, with shot xG summed onto any possession that ends in a shot.

Women’s World Cup team-years by average possession start distance, with group-stage outcomes and furthest stage (2019 & 2023)

Starting closer to goal tracks group-stage success: across 56 team-years, average yards from goal correlates about −0.59 with group points and −0.67 with group goal difference (closer starts, better groups). The link to how far a team goes in the knockout bracket is weaker (~−0.36). Brazil 2023 and France 2019 have the closest starts; USA 2019 (Champions, +18 group GD) and Spain 2023 (Champions) sit near the high-press end; Thailand 2019 and Vietnam 2023 are deepest.

Residuals: Creating More Than the Start Suggests

Starting position sets an expectation. The residual asks a second question: given where a team typically begins possessions, do they produce more or less xG than the tournament-wide relationship predicts?

Residual xG still lines up with outcomes—about +0.52 with group points, +0.68 with group GD, and +0.52 with furthest stage. Spain 2023 and USA 2019 lead among deep runs; France 2019 remains a cautionary case with very close starts but a negative residual after penalties are removed.

Where This Goes Next

These pieces—starting distance, opponent field position allowed, and xG margins—are the building blocks of a match-result model. For club seasons like the current Premier League, the same method needs commercial event data. Until then, open tournament datasets like the Women’s World Cup are the best free laboratory for the idea.