Aggregated team performance data including expected goals, shots, possession, corners, and discipline stats.
| Team | League | MP | Goals | Avg xG | Shots/G | Poss% | Corners/G | Cards/G |
|---|---|---|---|---|---|---|---|---|
| Blackburn Rovers | Championship | 48 | 43 | — | 11.4 | 48% | 5.3 | 2 |
| Sunderland | Championship | 4 | 5 | — | 11.5 | 46% | 7 | 3.5 |
Expected Goals (xG) is the single most important advanced metric in modern football analytics. It measures the quality of scoring chances by assigning each shot a probability of being scored, based on factors like distance, angle, assist type, and whether it was a header. A penalty is worth about 0.76 xG, while a long-range shot might be just 0.03.
The Avg xG column shows how many goals a team is expected to score per match based on their shot quality. Teams with high xG but lower actual goals are likely due a positive regression — they are creating chances but not converting them yet. The reverse (low xG, high goals) suggests a team overperforming that may regress. Read our detailed xG explainer for a deeper dive.
Shots per game indicates offensive intent — teams averaging 15+ shots are creating volume. But shots alone do not tell you about quality, which is why xG is the more reliable predictor. A team with 10 shots and 1.8 xG is more dangerous than one with 16 shots and 1.2 xG.
Possession (highlighted green above 55%) reflects control but not necessarily dominance. Some of Europe's best counter-attacking teams thrive on low possession. For betting, possession is most useful in predicting corner counts (high-possession teams win more) and tempo (high-possession games tend to be lower scoring).
The Cards/G column tracks total cards per match per team. This is useful for the cards/bookings market, which some bookmakers offer as over/under on total cards or total booking points. Teams with aggressive pressing styles or those frequently defending deep tend to commit more fouls and receive more cards. Cross-reference with form — teams on losing streaks often accumulate more cards from frustrated tackles. Check our corner data alongside cards, as set-piece-heavy teams with high card counts create chaotic matches ideal for Over bets.
| Charlton Athletic | Championship | 46 | 44 | — | 11 | 42% | 4.1 | 2.2 |
| Portsmouth | Championship | 47 | 50 | — | 12.2 | 51% | 5.6 | 1.9 |
| Middlesbrough | Championship | 50 | 73 | — | 16.3 | 59% | 6.7 | 1.6 |
| West Bromwich Albion | Championship | 47 | 53 | — | 13.6 | 52% | 5.2 | 1.8 |
| Birmingham City | Championship | 46 | 57 | — | 13.6 | 54% | 5.8 | 2 |
| Sheffield United | Championship | 50 | 74 | — | 13.5 | 52% | 6.5 | 1.9 |
| Hull City | Championship | 50 | 74 | — | 11.1 | 45% | 4.4 | 2.5 |
| Derby County | Championship | 47 | 67 | — | 11 | 45% | 4.6 | 2.6 |
| Watford | Championship | 47 | 54 | — | 13.9 | 51% | 5 | 2.1 |
| Stoke City | Championship | 47 | 51 | — | 11.1 | 52% | 5.9 | 2.2 |
| Swansea City | Championship | 47 | 60 | — | 12.3 | 55% | 4.6 | 2 |
| Norwich City | Championship | 47 | 67 | — | 12.8 | 54% | 5.4 | 2 |
| Leicester City | Championship | 46 | 58 | — | 12.8 | 52% | 5.3 | 1.9 |
| Queens Park Rangers | Championship | 47 | 62 | — | 12.6 | 46% | 4.7 | 1.9 |
| Sheffield Wednesday | Championship | 47 | 30 | — | 8.6 | 45% | 4.3 | 1.6 |
| Millwall | Championship | 49 | 65 | — | 12.9 | 47% | 5.7 | 1.9 |
| Southampton | Championship | 48 | 84 | — | 14.4 | 56% | 5.8 | 1.8 |
| Preston North End | Championship | 47 | 57 | — | 11.1 | 45% | 4.4 | 2.1 |
| Ipswich Town | Championship | 47 | 80 | — | 14.9 | 56% | 5.6 | 2 |
| Coventry City | Championship | 49 | 101 | — | 16.4 | 56% | 5.5 | 1.7 |
| Bristol City | Championship | 50 | 61 | — | 11.9 | 49% | 4.7 | 1.7 |
| Wrexham | Championship | 46 | 69 | — | 11.3 | 48% | 4.5 | 1.6 |
| Oxford United | Championship | 47 | 48 | — | 11.9 | 40% | 4 | 1.6 |