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 |
|---|---|---|---|---|---|---|---|---|
| Cerro Largo | Primera Division | 185 | 205 | 0 | 9.6 | 48% | 4.6 | 3.1 |
| Juventud | Primera Division | 50 | 53 | 0 | 10.1 | 50% | 4.6 | 2.5 |
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.
| Liverpool | Primera Division | 195 | 300 | — | 10.4 | 53% | 4.7 | 2.6 |
| Sud América | Primera Division | 29 | 28 | — | 8.3 | 47% | 4.5 | 3.1 |
| River Plate | Primera Division | 176 | 195 | — | 9 | 49% | 4.6 | 2.9 |
| Peñarol | Primera Division | 203 | 322 | — | 11.6 | 55% | 5.6 | 2.6 |
| Cerro | Primera Division | 165 | 150 | — | 8.1 | 45% | 4.5 | 3 |
| Danubio | Primera Division | 162 | 164 | — | 8.9 | 49% | 4.9 | 2.7 |
| Boston River | Primera Division | 194 | 231 | — | 9 | 51% | 4.8 | 2.8 |
| Montevideo City Torque | Primera Division | 152 | 223 | — | 10.8 | 54% | 4.9 | 3 |
| Racing | Primera Division | 131 | 152 | — | 11.2 | 50% | 5 | 2.8 |
| Fénix | Primera Division | 137 | 148 | — | 8.9 | 46% | 5 | 2.8 |
| Central Español | Primera Division | 6 | 7 | — | 10.3 | 40% | 3.7 | 1.8 |
| Deportivo Maldonado | Primera Division | 147 | 152 | — | 8.9 | 49% | 4.6 | 2.8 |
| Defensor Sporting | Primera Division | 158 | 199 | — | 10.3 | 52% | 4.7 | 2.9 |
| Atlético Progreso | Primera Division | 148 | 155 | — | 9.7 | 47% | 5.1 | 3 |
| Plaza Colonia | Primera Division | 140 | 154 | — | 9.1 | 47% | 4.3 | 2.8 |
| Cerrito | Primera Division | 29 | 32 | — | 8.3 | 51% | 4.3 | 2.7 |
| Villa Española | Primera Division | 29 | 26 | — | 8.6 | 45% | 5.2 | 3.2 |
| Rentistas | Primera Division | 67 | 73 | — | 7.6 | 49% | 4.8 | 3.1 |
| Rampla Juniors | Primera Division | 37 | 35 | — | 9 | 48% | 4.4 | 2.7 |
| Miramar Misiones | Primera Division | 71 | 69 | — | 9.3 | 45% | 4.2 | 3.2 |
| La Luz | Primera Division | 37 | 42 | — | 9.5 | 46% | 4.4 | 2.9 |
| Wanderers | Primera Division | 195 | 207 | — | 9.5 | 50% | 4.2 | 3.1 |
| Albion | Primera Division | 9 | 9 | — | 8.6 | 49% | 3.8 | 3.2 |
| Nacional | Primera Division | 204 | 363 | — | 11.8 | 54% | 5.4 | 3 |