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 |
|---|---|---|---|---|---|---|---|---|
| AZ | KNVB Beker | 5 | 18 | — | 15.2 | 45% | 4.6 | 2.6 |
| De Treffers | KNVB Beker | 4 | 11 | — | 18 | 43% | 5.3 | 1.5 |
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.
| NEC Nijmegen | KNVB Beker | 6 | 13 | — | 15.3 | 59% | 5.5 | 1.5 |
| FC Twente | KNVB Beker | 4 | 13 | — | 28.8 | 62% | 8 | 1.3 |
| Go Ahead Eagles | KNVB Beker | 3 | 4 | — | 21 | 58% | 8 | 0.7 |
| PSV | KNVB Beker | 4 | 13 | — | 17.3 | 65% | 5.8 | 1 |
| RKC Waalwijk | KNVB Beker | 3 | 13 | — | 14.3 | 46% | 3.7 | 0.7 |
| Sparta Rotterdam | KNVB Beker | 3 | 11 | — | 19 | 56% | 7.3 | 1.3 |
| SC Heerenveen | KNVB Beker | 4 | 10 | — | 13.8 | 52% | 5.8 | 0.8 |
| Heracles Almelo | KNVB Beker | 3 | 10 | — | 14 | 45% | 5.7 | 1 |
| Almere City | KNVB Beker | 3 | 6 | — | 15.7 | 54% | 5 | 1.3 |
| Telstar | KNVB Beker | 5 | 15 | — | 10.6 | 49% | 3.8 | 1.2 |
| Spakenburg | KNVB Beker | 3 | 11 | — | 16 | 50% | 5.3 | 1.7 |
| FC Den Bosch | KNVB Beker | 3 | 6 | — | 20.3 | 43% | 6.7 | 1.7 |
| FC Volendam | KNVB Beker | 4 | 6 | — | 17.3 | 52% | 5.3 | 1 |
| Excelsior Maassluis | KNVB Beker | 3 | 8 | — | 16 | 29% | 4.5 | 2 |
| GVVV | KNVB Beker | 3 | 5 | — | 13.3 | 36% | 7 | 1.3 |
| Genemuiden | KNVB Beker | 4 | 3 | — | 15 | 46% | 8 | 2 |
| HSV Hoek | KNVB Beker | 4 | 11 | — | 13.5 | 49% | 6.5 | 2 |
| HSC '21 | KNVB Beker | 3 | 6 | — | 14.5 | 36% | 3.5 | 1 |
| Gemert | KNVB Beker | 3 | 3 | — | 16.3 | 51% | 8 | 2.7 |
| DOVO | KNVB Beker | 3 | 6 | — | 9.7 | 52% | 4 | 1 |
| Sportlust '46 | KNVB Beker | 3 | 1 | — | 12.5 | 47% | 4.5 | 3.7 |
| Hoogeveen | KNVB Beker | 4 | 6 | — | 7.7 | 40% | 2.8 | 1.5 |
| Eemdijk | KNVB Beker | 3 | 7 | — | 8.5 | 45% | 4 | 1.7 |