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 |
|---|---|---|---|---|---|---|---|---|
| Schalke 04 | DFB Pokal | 12 | 21 | — | 13.8 | 56% | 5.5 | 1.8 |
| Borussia Dortmund | DFB Pokal | 18 | 39 | — | 16.1 | 61% | 6.4 | 1.8 |
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.
| Werder Bremen | DFB Pokal | 12 | 17 | — | 15.8 | 52% | 6.7 | 2.7 |
| FC Augsburg | DFB Pokal | 13 | 25 | — | 15.2 | 51% | 5 | 1.8 |
| RB Leipzig | DFB Pokal | 24 | 58 | — | 16.9 | 60% | 5.8 | 1.8 |
| St. Pauli | DFB Pokal | 17 | 34 | — | 16 | 53% | 6.4 | 2.1 |
| Eintracht Frankfurt | DFB Pokal | 13 | 28 | — | 13.9 | 60% | 5.1 | 2.2 |
| 1860 München | DFB Pokal | 4 | 3 | — | 17.3 | 44% | 5.3 | 2.3 |
| Darmstadt 98 | DFB Pokal | 12 | 21 | — | 16 | 55% | 6.1 | 2.2 |
| FC Bayern München | DFB Pokal | 16 | 52 | — | 18.4 | 66% | 6.8 | 1.3 |
| VfL Wolfsburg | DFB Pokal | 15 | 33 | — | 18.2 | 52% | 5.5 | 2.5 |
| Ingolstadt | DFB Pokal | 4 | 3 | — | 9 | 33% | 4.3 | 2 |
| Hansa Rostock | DFB Pokal | 8 | 11 | — | 14.4 | 42% | 5.4 | 2.6 |
| Borussia Mönchengladbach | DFB Pokal | 17 | 44 | — | 18.9 | 54% | 6.5 | 1.2 |
| FSV Mainz 05 | DFB Pokal | 12 | 20 | — | 17.8 | 52% | 5 | 2.3 |
| Ulm | DFB Pokal | 5 | 3 | — | 10.6 | 43% | 2.8 | 3.4 |
| Nürnberg | DFB Pokal | 11 | 20 | — | 19.3 | 54% | 7.7 | 2.2 |
| VfL Bochum 1848 | DFB Pokal | 13 | 19 | — | 17.7 | 56% | 6.2 | 2.5 |
| Dynamo Dresden | DFB Pokal | 7 | 12 | — | 15.6 | 44% | 5.6 | 2.4 |
| FC Union Berlin | DFB Pokal | 15 | 30 | — | 16.7 | 49% | 5.3 | 2.1 |
| Fortuna Düsseldorf | DFB Pokal | 14 | 27 | — | 15.6 | 55% | 5.2 | 1.8 |
| Saarbrücken | DFB Pokal | 7 | 10 | — | 12 | 41% | 3.3 | 2.4 |
| Carl Zeiss Jena | DFB Pokal | 4 | 1 | — | 7.3 | 34% | 2.5 | 2.3 |
| Kaiserslautern | DFB Pokal | 14 | 28 | — | 12.4 | 49% | 4.9 | 2.9 |
| Sportfreunde Lotte | DFB Pokal | 3 | 1 | — | 6.7 | 32% | 2 | 3 |
| Homburg | DFB Pokal | 4 | 6 | — | 6.8 | 29% | 2.8 | 2 |
| Hannover 96 | DFB Pokal | 9 | 16 | — | 13.6 | 51% | 5.6 | 1.2 |
| Paderborn | DFB Pokal | 11 | 31 | — | 14.9 | 48% | 4.9 | 2.5 |
| Hamburger SV | DFB Pokal | 16 | 31 | — | 19.4 | 60% | 8.8 | 2.4 |
| TSG Hoffenheim | DFB Pokal | 13 | 26 | — | 18.2 | 60% | 7.7 | 2.2 |
| Rot-Weiss Essen | DFB Pokal | 7 | 10 | — | 12 | 38% | 3.6 | 1.9 |
| Viktoria Köln | DFB Pokal | 4 | 6 | — | 14.3 | 51% | 4.3 | 1.8 |
| Heidenheim | DFB Pokal | 9 | 22 | — | 14.7 | 53% | 4.8 | 1.4 |
| Osnabrück | DFB Pokal | 6 | 6 | — | 15.8 | 49% | 7 | 2.7 |
| Eintracht Norderstedt | DFB Pokal | 3 | 0 | — | 5.7 | 28% | 4 | 2 |
| DSC Arminia Bielefeld | DFB Pokal | 14 | 28 | — | 15.6 | 45% | 4.6 | 2.6 |
| Lokomotive Leipzig | DFB Pokal | 3 | 0 | — | 7.7 | 40% | 4.7 | 2.3 |
| Karlsruher SC | DFB Pokal | 11 | 25 | — | 15.4 | 52% | 5.3 | 1.4 |
| Hertha BSC | DFB Pokal | 15 | 40 | — | 15.8 | 53% | 5.9 | 2.2 |
| VfB Stuttgart | DFB Pokal | 20 | 48 | — | 15 | 58% | 4.4 | 1.5 |
| FC Köln | DFB Pokal | 16 | 31 | — | 18.3 | 52% | 7.3 | 2.4 |
| Bayer 04 Leverkusen | DFB Pokal | 24 | 65 | — | 17.3 | 60% | 5.5 | 1.7 |
| Energie Cottbus | DFB Pokal | 4 | 3 | — | 9 | 37% | 5.3 | 2.8 |
| Erzgebirge Aue | DFB Pokal | 3 | 2 | — | 14 | 50% | 6.3 | 2 |
| Hallescher FC | DFB Pokal | 3 | 2 | — | 8.7 | 42% | 5.7 | 3.7 |
| Waldhof Mannheim | DFB Pokal | 3 | 4 | — | 13 | 42% | 4 | 1.3 |
| Würzburger Kickers | DFB Pokal | 3 | 4 | — | 9.3 | 39% | 3.7 | 2.3 |
| SpVgg Greuther Fürth | DFB Pokal | 10 | 16 | — | 20.6 | 58% | 7.1 | 2.4 |
| Jahn Regensburg | DFB Pokal | 11 | 13 | — | 14.8 | 43% | 5.5 | 3.1 |
| Sandhausen | DFB Pokal | 7 | 11 | — | 13.4 | 38% | 4 | 2.1 |
| Wehen Wiesbaden | DFB Pokal | 6 | 6 | — | 10 | 35% | 3.5 | 2.7 |
| Magdeburg | DFB Pokal | 10 | 18 | — | 16.9 | 57% | 6.4 | 3.2 |
| SC Freiburg | DFB Pokal | 19 | 35 | — | 16.2 | 54% | 4.6 | 1.6 |
| Eintracht Braunschweig | DFB Pokal | 6 | 12 | — | 13 | 38% | 5.2 | 2.5 |
| Elversberg | DFB Pokal | 8 | 13 | — | 14.3 | 45% | 5.5 | 2 |
| Holstein Kiel | DFB Pokal | 15 | 30 | — | 15.7 | 54% | 6 | 1.9 |
| Illertissen | DFB Pokal | 3 | 4 | — | 8.7 | 29% | 3.3 | 3.3 |
| Preußen Münster | DFB Pokal | 5 | 2 | — | 14 | 40% | 5.8 | 3.2 |