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 |
|---|---|---|---|---|---|---|---|---|
| Telstar | Eerste Divisie | 155 | 217 | 0 | 12.8 | 49% | 5.1 | 1.5 |
| RKC Waalwijk | Eerste Divisie | 40 | 61 | 0 | 13.1 | 48% | 4.8 | 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.
| MVV Maastricht | Eerste Divisie | 197 | 266 | 0 | 11.3 | 45% | 4.2 | 1.6 |
| Helmond Sport | Eerste Divisie | 197 | 242 | 0 | 11.7 | 49% | 5 | 1.7 |
| Roda JC Kerkrade | Eerste Divisie | 195 | 322 | 0 | 14.7 | 51% | 5.5 | 1.6 |
| Jong FC Utrecht | Eerste Divisie | 201 | 221 | 0 | 11.9 | 46% | 4.4 | 1.6 |
| Almere City | Eerste Divisie | 121 | 209 | 0 | 14.2 | 49% | 6 | 1.3 |
| TOP Oss | Eerste Divisie | 194 | 202 | 0 | 10.8 | 43% | 4.5 | 1.7 |
| Jong AZ | Eerste Divisie | 190 | 289 | 0 | 12.6 | 53% | 4.7 | 1.6 |
| SC Cambuur | Eerste Divisie | 165 | 338 | — | 15.5 | 55% | 6 | 1.6 |
| Fortuna Sittard | Eerste Divisie | 6 | 6 | — | 7.3 | 52% | 6 | 0.7 |
| Vitesse | Eerste Divisie | 70 | 103 | — | 14.4 | 51% | 5.6 | 2.1 |
| FC Groningen | Eerste Divisie | 38 | 71 | — | 16.3 | 54% | 6.9 | 1.4 |
| VVV-Venlo | Eerste Divisie | 150 | 197 | — | 13.3 | 47% | 5.2 | 1.7 |
| FC Den Bosch | Eerste Divisie | 192 | 262 | — | 11.7 | 47% | 4.6 | 1.8 |
| FC Volendam | Eerste Divisie | 122 | 252 | — | 15.9 | 54% | 5.6 | 1.2 |
| FC Emmen | Eerste Divisie | 150 | 229 | — | 13.7 | 53% | 5.5 | 1.5 |
| Jong Ajax | Eerste Divisie | 195 | 303 | — | 12.7 | 55% | 4.7 | 1.7 |
| Jong PSV | Eerste Divisie | 198 | 331 | — | 12.4 | 53% | 4.3 | 1.5 |
| Excelsior | Eerste Divisie | 114 | 219 | — | 15 | 51% | 5.6 | 1.5 |
| FC Eindhoven | Eerste Divisie | 197 | 284 | — | 12.4 | 46% | 4.6 | 1.7 |
| NEC Nijmegen | Eerste Divisie | 43 | 80 | — | 15.6 | 51% | 5.5 | 1.1 |
| NAC Breda | Eerste Divisie | 116 | 202 | — | 13.7 | 51% | 5.2 | 1.5 |
| Go Ahead Eagles | Eerste Divisie | 42 | 68 | — | 11.7 | 51% | 5 | 1.3 |
| Willem II | Eerste Divisie | 73 | 132 | — | 14 | 50% | 5.8 | 1.5 |
| FC Dordrecht | Eerste Divisie | 200 | 286 | — | 12.9 | 47% | 4.7 | 2 |
| De Graafschap | Eerste Divisie | 191 | 332 | — | 15.8 | 53% | 6.2 | 1.5 |
| ADO Den Haag | Eerste Divisie | 147 | 291 | — | 15.6 | 53% | 5.9 | 1.8 |