Luis Romo rules the World Cup midfield in ground duels | OneFootball

Mexico’s Rojiblancos continue to make headlines at the 2026 FIFA World Cup and, ahead of the round of 32, Luis Romo has just received recognition that confirms the extraordinary level he has shown with El Tri.

The CIES Football Observatory, one of the world’s leading football statistics analysis centers based in Neuchâtel, Switzerland, published a study using Impect data in which the Guadalajara midfielder appears as the World Cup leader in ground duels won per 90 minutes among all midfielders still in the competition.

With an average of 7.65 ground duels won per 90 minutes, Romo tops the ranking ahead of Ecuadorian Pedro Vite (7.12) and Brazilians Bruno Guimarães (6.59) and Casemiro (5.27), three players who have also stood out throughout the tournament.

That dominance in ball recovery and contested possession has been one of the main strengths of the Rojiblanco in a World Cup where he has also contributed in attack. So far, Luis Romo has totaled 164 minutes of action, along with one goal and one assist, after starting against South Korea and Czechia.

The midfielder’s ability to win one-on-one battles, recover balls, and bring balance to the team has been key to the Mexican National Team’s performance, which has found decisive pieces in Chivas players during the World Cup.

Once again, Mexico’s Rojiblancos are rising to the occasion on the biggest stage, and Luis Romo is proving it not only with goals and assists, but also by being the most dominant midfielder at the World Cup when the ball is contested on the ground.

Top 10 midfielders with the most ground duels won per 90 minutes

1. Luis Romo (Mexico) – 7.652. Pedro Vite (Ecuador) – 7.123. Bruno Guimarães (Brazil) – 6.594. Tyler Adams (United States) – 6.035. Mohanad Lasheen (Egypt) – 5.746. Casemiro (Brazil) – 5.277. Aiden O’Neill (Australia) – 5.258. Nathan Saliba (Canada) – 4.909. Gustavo Puerta (Colombia) – 4.8410. Ayyoub Bouaddi (Morocco) – 4.81

This article was translated into English by Artificial Intelligence. You can read the original version in 🇪🇸 here.