In a Nutshell
When a team sends the ball across the field from the sides toward the box, that's called a "cross." This signal tracks two things: how often those crosses successfully reach a teammate (accuracy), and how often the team attempts crosses in the first place (volume). A team with high crossing quality can create dangerous chances from the wings and put pressure on defenders who struggle in the air.
Why It Matters
Teams with quality wide players and good crossing ability can bypass central defenses and exploit aerial weaknesses. Crossing quality correlates with headed goals and second-ball opportunities in dangerous areas.
How It's Calculated
Data Sources
Crossing statistics (total and accurate) from match data, aggregated across recent matches in the same competition.
Key Formula
Mainly measures how often crosses successfully find a teammate, with a secondary measure of how frequently the team attempts crosses. Accuracy matters more because a well-placed cross is far more dangerous than a wasted one.
Normalization
Both accuracy and volume are compared against the range seen across all teams. Teams that rarely cross have their accuracy treated more cautiously, since a high success rate from very few attempts can be misleading.
Confidence Impact
Requires at least 5 matches with crossing data for both teams. Uncertainty starts at 0.35 with minimal data and drops to 0.20 with 10+ matches. Additional penalties apply when data is incomplete or older than 14 days. With fewer than 5 matches, this signal is excluded entirely.
Example
See how this signal played out in actual matches.
Liverpool vs Tottenham
Premier League — Dec 2024
What happened: Liverpool's metrics were consistently superior across this signal, aligning with the eventual 6-3 result. The signal correctly identified a significant imbalance.
View this match on xGoalMan City vs Everton
Premier League — Dec 2024
What happened: Both sides showed similar metrics for this signal — neither had a meaningful edge. The match ended 1-1, consistent with the balanced assessment.
View this match on xGoalAston Villa vs Arsenal
Premier League — Dec 2025
What happened: The signal leaned slightly toward Villa, but Arsenal's strengths in other signals offset this. This illustrates why no single signal tells the full story — context from all signals matters.
View this match on xGoalCommon Misconceptions
Myth: "High crossing volume always means good crossing quality"
Reality: Volume without accuracy means wasted possession. A team with 25 crosses but only 18% accuracy is less dangerous than one with 15 crosses at 32% accuracy. Accuracy is weighted more heavily (65%) because quality matters more than quantity.
Myth: "Crossing quality only matters for teams with tall strikers"
Reality: Accurate crosses create second-ball opportunities, cutbacks, and chaos in the box regardless of striker height. Teams with intelligent movement and good positioning can exploit quality crosses without aerial dominance.
Advanced Insights
What This Signal Cannot Tell You
- No single signal determines match outcome
- All signals carry uncertainty that widens probability ranges
- Data freshness affects confidence in the assessment
- Context matters: signals interact with each other and with match circumstances
The Bottom Line
Crossing Quality measures how accurately and frequently a team delivers crosses from wide positions. Use it alongside other signals for a balanced view of the match.
Related Signals
This signal works alongside others to build a complete picture.