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 | Champions League | 10 | 22 | — | 12.9 | 50% | 4.6 | 2.4 |
| Liverpool | Champions League | 12 | 24 | — | 19.2 | 53% | 6.6 | 1.3 |
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.
| Manchester City | Champions League | 10 | 16 | — | 15.6 | 59% | 6.3 | 2 |
| Chelsea | Champions League | 10 | 19 | — | 13.9 | 55% | 6.1 | 1.6 |
| Arsenal | Champions League | 17 | 31 | — | 14.4 | 51% | 5.1 | 1.9 |
| Newcastle United | Champions League | 12 | 29 | — | 14.1 | 49% | 5.5 | 1.5 |
| Galatasaray | Champions League | 12 | 17 | — | 13 | 50% | 4 | 2 |
| Olympique Marseille | Champions League | 8 | 11 | — | 13.8 | 55% | 5.3 | 2.5 |
| Salzburg | Champions League | 4 | 7 | — | 16.3 | 45% | 4.5 | 1.8 |
| Sporting CP | Champions League | 12 | 22 | — | 12.9 | 50% | 4.6 | 2 |
| Rangers | Champions League | 6 | 8 | — | 10.7 | 55% | 3.8 | 2 |
| Borussia Dortmund | Champions League | 10 | 22 | — | 11 | 54% | 4.1 | 1.8 |
| FC Barcelona | Champions League | 14 | 38 | — | 17.2 | 65% | 5.1 | 2.1 |
| FC København | Champions League | 14 | 23 | — | 10.9 | 46% | 4.1 | 2.1 |
| Fenerbahçe | Champions League | 4 | 6 | — | 10.5 | 50% | 3.8 | 2.5 |
| Ferencvárosi | Champions League | 6 | 13 | — | 14.3 | 49% | 4.7 | 2.3 |
| Slavia Praha | Champions League | 8 | 5 | — | 12.4 | 46% | 3.4 | 2 |
| Hamrun Spartans | Champions League | 4 | 2 | — | 8.3 | 45% | 6.8 | 2 |
| Lech Poznań | Champions League | 4 | 10 | — | 14 | 58% | 6.8 | 0.8 |
| Club Brugge | Champions League | 14 | 32 | — | 14.8 | 50% | 4.5 | 1.1 |
| Malmö FF | Champions League | 6 | 11 | — | 9.5 | 54% | 3.8 | 1.2 |
| Eintracht Frankfurt | Champions League | 8 | 10 | — | 6.9 | 40% | 2.1 | 1 |
| FC Bayern München | Champions League | 14 | 43 | — | 18.4 | 61% | 5.4 | 2.1 |
| Dynamo Kyiv | Champions League | 4 | 6 | — | 9.8 | 58% | 4.8 | 2 |
| Paris Saint Germain | Champions League | 20 | 53 | — | 18.2 | 62% | 5.4 | 1.2 |
| Napoli | Champions League | 8 | 9 | — | 11.8 | 52% | 6.1 | 1.8 |
| Olympiacos F.C. | Champions League | 10 | 10 | — | 12.6 | 43% | 4.4 | 1.9 |
| Benfica | Champions League | 14 | 16 | — | 13.8 | 47% | 5.4 | 1.9 |
| Juventus | Champions League | 10 | 19 | — | 16.3 | 48% | 5.9 | 2.2 |
| Ajax | Champions League | 8 | 8 | — | 10.4 | 54% | 4.9 | 1.8 |
| PSV | Champions League | 8 | 16 | — | 10.8 | 52% | 5 | 2.6 |
| Atalanta | Champions League | 12 | 16 | — | 13.8 | 49% | 4 | 1.6 |
| Shelbourne | Champions League | 4 | 2 | — | 12 | 48% | 4.5 | 2.3 |
| Skendija 79 | Champions League | 6 | 6 | — | 11.2 | 43% | 3.5 | 2.7 |
| Bodø / Glimt | Champions League | 14 | 28 | — | 11.4 | 47% | 3.9 | 1.4 |
| Slovan Bratislava | Champions League | 4 | 7 | — | 9 | 48% | 3.5 | 4.8 |
| Crvena Zvezda | Champions League | 6 | 12 | — | 14.5 | 49% | 6.7 | 2.3 |
| Ludogorets | Champions League | 6 | 6 | — | 15.3 | 60% | 5 | 2.7 |
| Inter | Champions League | 13 | 24 | — | 16 | 52% | 5.7 | 1.8 |
| Kairat | Champions League | 16 | 14 | — | 10.9 | 44% | 3.9 | 2.6 |
| Bayer 04 Leverkusen | Champions League | 12 | 16 | — | 11 | 52% | 4.7 | 1.6 |
| FCSB | Champions League | 4 | 5 | — | 12.5 | 58% | 5.5 | 2.3 |
| Real Madrid | Champions League | 14 | 33 | — | 17.4 | 54% | 5.7 | 2.6 |
| Villarreal | Champions League | 8 | 5 | — | 13.6 | 42% | 3.4 | 2.5 |
| Viktoria Plzeň | Champions League | 4 | 5 | — | 20.5 | 47% | 6 | 1.3 |
| Union Saint-Gilloise | Champions League | 8 | 8 | — | 11.9 | 35% | 3.3 | 2.1 |
| KuPS | Champions League | 4 | 3 | — | 4.3 | 46% | 5.3 | 1.5 |
| Qarabağ | Champions League | 16 | 31 | — | 11.8 | 49% | 4.4 | 1.3 |
| Zrinjski | Champions League | 4 | 6 | — | 13 | 62% | 5.8 | 2 |
| Rīgas FS | Champions League | 4 | 3 | — | 7.5 | 41% | 4.5 | 0.8 |
| Monaco | Champions League | 10 | 12 | — | 13.4 | 41% | 4.8 | 2.3 |
| Breidablik | Champions League | 4 | 6 | — | 7.8 | 40% | 3.5 | 2 |
| Atlético Madrid | Champions League | 16 | 35 | — | 14.3 | 49% | 5.3 | 1.8 |
| Pafos FC | Champions League | 14 | 16 | — | 10.4 | 41% | 4.1 | 2.3 |
| Lincoln Red Imps | Champions League | 4 | 5 | — | 9.5 | 49% | 3.8 | 1.8 |
| Athletic Club | Champions League | 8 | 9 | — | 10.5 | 41% | 4 | 2.1 |
| Noah | Champions League | 4 | 7 | — | 9.8 | 58% | 3 | 2.5 |
| Drita | Champions League | 4 | 4 | — | 10 | 41% | 4.3 | 2 |