Analytics

How often a team plays forward rather than sideways or backward. High verticality means lots of progressive passes; low verticality means lots of circulation and recycling. Neither is inherently better - it depends on what you're trying to do. Guardiola teams often have lower verticality in possession but devastating vertical moments when gaps appear. Direct teams have high verticality throughout.

The central area just outside the penalty box, roughly where the "D" sits. Called zone 14 because it's the 14th zone when you divide the pitch into an 18-zone grid (6 across, 3 deep in each half). Receiving the ball here is dangerous because you're facing goal with shooting and passing options. Classic number 10s live in this space. Getting the ball into zone 14 is a key attacking objective.

When a player gains possession for their team after the ball was previously contested or loose. Different from tackles or interceptions - it's about picking up second balls, collecting clearances, and mopping up loose possession. Midfielders who win lots of ball recoveries are often underrated because the stat doesn't get as much attention as tackles or goals but it is vital for gaining control as a team.

A stat that measures how good a chance was, based on where the shot came from, the angle, how it was created, and defensive pressure. An xG of 0.5 means that type of chance goes in 50% of the time on average. It helps spot whether a team or player is getting lucky or unlucky with their finishing. Traditionalists hate it, but clubs use it for scouting and tactics, and it's all over match broadcasts now.

Winning the ball back in the opponent's third of the pitch. Teams that recover possession high up get immediate attacking opportunities. It's a key stat for measuring pressing effectiveness. High recoveries often lead to shots within a few seconds because the defense is scrambled. Coaches target a certain number per game as a measure of whether the press is working.

A visual showing a team's passing patterns - where players receive the ball and who they pass to. You can see the structure of play: who's the hub, which partnerships connect most, where the team builds. Average position maps show where players spent their time, while pass networks show the connections. Analysts use them to understand how teams function.

Moving the ball toward the opponent's goal through passes, carries, or dribbles. Analytics tracks how many yards a player advances the ball and how often they progress it into dangerous areas. Good for identifying players who drive attacks forward even if they don't score or assist. Midfielders and ball-playing defenders get judged on this now.

How aggressively a team presses, measured by metrics like PPDA or the number of high recoveries. High pressing intensity means you're constantly harrying the opponent. It requires fitness, organization, and commitment from everyone. Some teams press intensely for 60 minutes then drop off; others can sustain it. Klopp's Liverpool and Nagelsmann's teams have been among the most intense pressers.

Like xG but only for shots that actually hit the target. It measures how good the shot was, not just the chance. A weak shot straight at the keeper from a great position has high xG but low xGOT. A rocket into the top corner from 25 yards has low xG but high xGOT. Useful for evaluating keepers - if they're conceding more than xGOT, they're underperforming.

A visual showing where a player spends their time on the pitch, with warmer colors (red, orange) indicating more activity. Heat maps reveal actual positioning versus nominal position - a "winger" whose heat map is entirely central isn't playing like a winger. They show work rate, defensive contribution, and where a player's influence is concentrated.