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 |
|---|---|---|---|---|---|---|---|---|
| Tottenham Hotspur | Europa League | 3 | 6 | — | 11.7 | 33% | 8.3 | 2 |
| Manchester United | Europa League | 3 | 7 | — | 13.7 | 66% | 3.3 | 3.3 |
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.
| Aston Villa | Europa League | 15 | 31 | — | 12.3 | 53% | 5.1 | 1.6 |
| Celta de Vigo | Europa League | 14 | 22 | — | 10.8 | 49% | 3.4 | 2.5 |
| Roma | Europa League | 10 | 17 | — | 14.6 | 53% | 5.4 | 2.2 |
| Salzburg | Europa League | 8 | 10 | — | 13.6 | 45% | 3.1 | 1.4 |
| Celtic | Europa League | 10 | 15 | — | 8.9 | 49% | 5.2 | 1.8 |
| Panathinaikos | Europa League | 16 | 17 | — | 12.4 | 49% | 4.8 | 2.9 |
| Rangers | Europa League | 8 | 5 | — | 10.6 | 50% | 5 | 2.4 |
| Nottingham Forest | Europa League | 16 | 24 | — | 15.6 | 53% | 5.6 | 1.6 |
| Feyenoord | Europa League | 8 | 11 | — | 14.3 | 50% | 4.6 | 2.1 |
| Olympique Lyonnais | Europa League | 10 | 19 | — | 14.6 | 61% | 4.1 | 2.2 |
| Fenerbahçe | Europa League | 10 | 12 | — | 13.8 | 58% | 4.8 | 3.6 |
| Ferencvárosi | Europa League | 12 | 17 | — | 11.6 | 45% | 3.6 | 2.7 |
| Legia Warszawa | Europa League | 6 | 9 | — | 13.7 | 53% | 5 | 2.3 |
| Malmö FF | Europa League | 10 | 9 | — | 8 | 43% | 3.5 | 2.3 |
| Nice | Europa League | 8 | 7 | — | 12.5 | 43% | 5 | 2.3 |
| Basel | Europa League | 8 | 9 | — | 13.5 | 47% | 3.9 | 2 |
| Real Betis | Europa League | 12 | 20 | — | 13.8 | 55% | 3.8 | 2.8 |
| Shakhtar Donetsk | Europa League | 6 | 12 | — | 12.8 | 55% | 4.3 | 2.3 |
| Sheriff | Europa League | 4 | 7 | — | 10.3 | 47% | 3.5 | 1.3 |
| Young Boys | Europa League | 10 | 14 | — | 10.7 | 47% | 3.5 | 2.3 |
| PAOK | Europa League | 14 | 24 | — | 11.6 | 50% | 4.4 | 2.4 |
| Porto | Europa League | 12 | 18 | — | 14.3 | 52% | 5.1 | 2.4 |
| Go Ahead Eagles | Europa League | 8 | 6 | — | 9.1 | 48% | 3.9 | 2 |
| Dinamo Zagreb | Europa League | 10 | 16 | — | 11 | 50% | 4.9 | 1.7 |
| LOSC Lille | Europa League | 12 | 14 | — | 12.8 | 57% | 6.3 | 1.8 |
| AEK Larnaca | Europa League | 8 | 11 | — | 9.6 | 46% | 4.1 | 2.6 |
| FC Utrecht | Europa League | 14 | 19 | — | 10.9 | 47% | 3.9 | 1.8 |
| Sporting Braga | Europa League | 20 | 37 | — | 10.6 | 55% | 4.8 | 2 |
| FC Midtjylland | Europa League | 16 | 34 | — | 14.9 | 53% | 5.5 | 1.8 |
| Celje | Europa League | 4 | 8 | — | 11.8 | 54% | 4.5 | 2.5 |
| Brann | Europa League | 14 | 17 | — | 11.4 | 49% | 4.8 | 1.5 |
| Häcken | Europa League | 6 | 6 | — | 9.3 | 51% | 4.8 | 2.7 |
| Crvena Zvezda | Europa League | 10 | 8 | — | 12 | 49% | 5.5 | 2.4 |
| Genk | Europa League | 14 | 25 | — | 14.4 | 51% | 4.5 | 1.6 |
| Ludogorets | Europa League | 12 | 19 | — | 15.1 | 49% | 3.5 | 2 |
| Maccabi Tel Aviv | Europa League | 12 | 10 | — | 8.4 | 44% | 4 | 2.1 |
| Levski Sofia | Europa League | 4 | 1 | — | 9 | 46% | 5 | 2.5 |
| VfB Stuttgart | Europa League | 12 | 20 | — | 18.8 | 60% | 6.5 | 2.3 |
| Sturm Graz | Europa League | 8 | 5 | — | 10 | 45% | 2.8 | 2.1 |
| Rijeka | Europa League | 4 | 5 | — | 15 | 59% | 4.5 | 1.5 |
| FCSB | Europa League | 12 | 20 | — | 11.5 | 46% | 5.5 | 2.2 |
| SC Freiburg | Europa League | 15 | 25 | — | 12.9 | 49% | 4.2 | 1.6 |
| Viktoria Plzeň | Europa League | 10 | 11 | — | 12.7 | 45% | 4.5 | 2.8 |
| CFR Cluj | Europa League | 6 | 5 | — | 9.7 | 42% | 4.8 | 2 |
| KuPS | Europa League | 4 | 3 | — | 6.5 | 45% | 2.3 | 1.5 |
| Zrinjski | Europa League | 4 | 3 | — | 8.3 | 53% | 5.5 | 2.8 |
| Bologna | Europa League | 14 | 22 | — | 18.1 | 53% | 6.9 | 2.1 |
| Lincoln Red Imps | Europa League | 4 | 2 | — | 4.3 | 40% | 2.3 | 2.3 |