Analytics

How good the shooting opportunities a team creates are, usually measured by average xG per shot. A team taking loads of shots from bad positions has low chance quality. A team taking fewer shots but from good positions has high chance quality. Guardiola teams typically have excellent chance quality because they work the ball into good areas rather than shooting from distance.

Playing most of the game in the opponent's half, pinning them back regardless of possession. You can have lots of the ball but play it in your own half, which isn't territorial dominance. The best teams do both - high possession and playing it in dangerous areas. Field tilt stats track what percentage of the game is played in each third. Teams that dominate territory create more chances and concede fewer.

A measure of pressing intensity. Divide the passes you allow by the defensive actions (tackles, interceptions, fouls) you make in the attacking third. Lower number means more aggressive pressing - you're intervening more often. Higher number means you're sitting off and letting them pass. It's a standard stat now for measuring how much a team presses, though it doesn't tell you how well organized that pressing is.

A visual showing where shots were taken from, usually with size or color indicating xG. You can see at a glance whether a team is shooting from good or bad positions. Shot maps reveal patterns - a striker who only shoots from inside the six-yard box, or a midfielder who tries their luck from everywhere. Post-match analysis uses them constantly to show what chances were created.

How close together a team stays when defending. A compact shape has small gaps between players and lines, making it hard for opponents to play through. When compactness breaks down - players drift, lines stretch - holes appear. Analytics can measure it by tracking the distance between the deepest defender and highest attacker, or the space between lines. Staying compact requires discipline and fitness.