Does Winning Duels Win Football Matches? What Duel Data Can and Cannot Tell You About Who Wins the Game

A duel in football data is any contest in which two opposing players compete for the ball, whether on the ground or in the air, with one player recorded as the winner and the other as the loser. Duel counts on RubiScore appear in most match statistics panels, and they feed one of the game's oldest beliefs: the team that wins the individual battles wins the match.

This study tests that belief. It looks at what duel data captures, what the pattern between duels and results tends to look like, and why the link is weaker than the cliché suggests. Match statistics for the major leagues, including duels, shots and expected goals, are available at https://rubiscore.com. The aim is not to dismiss duels, but to show where they matter and where they mislead.

What Counts as a Duel?

Data providers define duels slightly differently, but most group them into two families:

• Ground duels: tackles, attempted dribbles past an opponent, loose-ball challenges and shielding contests where both players have a realistic chance of winning the ball.
• Aerial duels: two players jumping or competing for a ball in the air, with the winner usually the player who makes the first meaningful contact.

Some providers also log a foul as a lost duel for the player who commits it and a won duel for the player fouled. Others record neutral outcomes when neither player gains control. These definitions matter, because a "duel won" is not always the same thing as possession won.

There is also a structural feature that is easy to miss. Every duel produces one winner and one loser, so within a single match the two teams' duel win percentages add up to roughly one hundred. A team's duel share is therefore a direct mirror of its opponent's. If one side wins 55 percent of duels, the other side has lost exactly that contest.

The Question

Coaches and commentators often say that a team "won the battle" and therefore won the game. If that were true in a strong sense, duel share should be one of the best single predictors of results. A team that wins most of its individual contests should, over a season, win most of its matches.

The question for data is simple: does a higher share of duels won go together with winning, and if so, how strongly compared with other measures?

What the Data Captures

Event data records each duel with a time, a location, the two players involved, the type of contest and the outcome. From that, it is possible to build:

• Team duel totals and win percentages per match.
• Duel success by zone, such as the defensive third, midfield and the final third.
• Individual figures, such as a centre-back's aerial win rate or a winger's dribble success.
• Volume measures, such as duels contested per 90 minutes.

What the data does not capture is just as important. It rarely says what happened after the duel, whether the winner kept the ball, or whether the contest changed the danger of the situation. A headed clearance that lands at an opponent's feet may be logged as an aerial duel won even though the team gained nothing.

What the Pattern Tends to Show

Analysts who compare duel share with match outcomes generally find a positive but weak relationship. Teams that win more duels do win slightly more often, but the link is far looser than for shot-based measures such as expected goals or shots on target. Several mechanisms explain why.

Location changes the value of a duel. Winning an aerial duel on the halfway line and winning one at the near post from a corner are recorded the same way, yet their effect on the scoreline is completely different. Team totals blend high-value and low-value contests into a single number.

Style drives volume. A team that keeps the ball through short passing contests fewer duels, because it rarely puts the ball into fifty-fifty situations. A team that plays long towards a tall striker contests many aerial duels by design. Duel counts often describe how a team plays rather than how well it plays.

Game state pushes the numbers around. A team protecting a lead tends to defend deeper and face more crosses, which inflates its defenders' aerial duel totals. A team chasing a goal may commit more players forward and lose more contests in transition. In both cases the duel figures reflect the match situation as much as the quality of the players.

Winning a duel is not the same as winning the ball. Many aerial duels end with the ball going loose. The second ball, the next contest for possession, often decides who benefits, and it is not always attributed to the original duel.

Where Duels Do Matter

None of this means duels are irrelevant. They carry real information in specific contexts:

• Inside both penalty areas. Aerial and ground duels in the box are close to the goals themselves, so winning them has a direct effect on chances created and conceded.
• Direct-play teams. A side built around long balls depends on winning first contacts and second balls. For those teams, duel and second-ball success can be central to the whole game plan.
• Pressing teams. A team that presses high needs to win ground duels after turnovers near the opponent's goal. Duels won in the final third often lead straight to shots.
• Individual profiling. For a centre-back or a target forward, aerial win rate is a genuine trait that helps describe the player, especially when read alongside volume.

The common thread is location and purpose. Duels matter most when they happen in zones where possession quickly turns into shots.

Confounders and Limits

Any study of duels has to handle several problems:

• Provider definitions differ. Whether fouls, loose balls or neutral outcomes count as duels changes the totals, so figures from different sources should not be mixed.
• Rate versus volume. A player who avoids difficult contests can post a high win percentage on low volume. A player who takes on every challenge may lose more often while contributing more.
• Opponent strength. Winning duels against a weak side is easier, and stronger teams tend both to win matches and to face weaker duellists.
• Refereeing. A referee who blows for contact more readily changes how many ground duels end in fouls, which can shift duel outcomes recorded for both teams.
• Small samples. A single match contains a limited number of duels in each zone, so match-level percentages are noisy.

A Worked Example

Imagine two hypothetical teams. Team A plays direct football and wins 58 percent of around 90 duels, most of them aerial contests in midfield. It creates few clear chances, finishing with about 0.8 expected goals. Team B wins only 42 percent of duels, but it contests far fewer in midfield, keeps the ball through passing and wins several important duels inside Team A's penalty area. It finishes with roughly 1.9 expected goals.

On duel share, Team A "won the battle". On chance quality, Team B was clearly better, and it would usually be expected to win the match. The duel figure is accurate; it simply measures something other than control of the scoreline.

How to Read Duel Numbers Sensibly

A practical approach keeps duels in their place:

• Read duel share alongside shots, expected goals and possession, never alone.
• Split duels by zone where possible, giving the most weight to contests in and around the penalty areas.
• Consider the team's style before judging its duel totals.
• Pair every win percentage with volume, especially for individual players.
• Treat single-match percentages as noisy and look at trends across several games.

Match pages on RubiScore list duels next to shots and expected goals, which makes it straightforward to check whether a side that won the physical contest also won the contest for chances.

Verdict

Winning duels helps, but overall duel share is a weak predictor of who wins a football match. The number blends valuable and trivial contests, it is heavily shaped by playing style and game state, and a duel won does not always mean the ball was won. Duels become meaningful when they are read by location and purpose: in the penalty areas, in second-ball battles for direct teams and in the high turnovers that pressing sides rely on. Read that way, duel data adds useful context to a match. Read as a scoreboard of who "wanted it more", it tells only a small part of the story.