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 |
|---|---|---|---|---|---|---|---|---|
| Universidad Chile | Copa Libertadores | 3 | 4 | — | 17.7 | 66% | 6.7 | 2.3 |
| Corinthians | Copa Libertadores | 6 | 8 | — | 13.7 | 65% | 5 | 0.7 |
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.
| Independiente Medellín | Copa Libertadores | 10 | 11 | — | 10.8 | 46% | 4.7 | 2.1 |
| Barcelona Guayaquil | Copa Libertadores | 13 | 8 | — | 10.4 | 41% | 2.8 | 3.3 |
| Boca Juniors | Copa Libertadores | 6 | 6 | — | 14.3 | 56% | 5.5 | 3 |
| Bahia | Copa Libertadores | 5 | 4 | — | 11.4 | 64% | 4.4 | 2.2 |
| Independiente Rivadavia | Copa Libertadores | 6 | 15 | — | 12.5 | 38% | 3.5 | 2.3 |
| Nacional | Copa Libertadores | 9 | 11 | — | 10.8 | 39% | 5.6 | 2.1 |
| Flamengo | Copa Libertadores | 16 | 22 | — | 13.5 | 59% | 5.1 | 1.6 |
| Fluminense | Copa Libertadores | 6 | 7 | — | 14.5 | 65% | 3.2 | 2.3 |
| Coquimbo Unido | Copa Libertadores | 6 | 8 | — | 10.3 | 48% | 6.2 | 2.3 |
| Internacional | Copa Libertadores | 5 | 5 | — | 9 | 44% | 4 | 2 |
| Universidad Católica | Copa Libertadores | 6 | 8 | — | 12.3 | 46% | 4.8 | 2.2 |
| Botafogo | Copa Libertadores | 9 | 10 | — | 12.9 | 55% | 3.9 | 1.9 |
| Peñarol | Copa Libertadores | 11 | 12 | — | 15 | 46% | 4.5 | 2.5 |
| Rosario Central | Copa Libertadores | 6 | 9 | — | 15 | 57% | 5.2 | 2.7 |
| Cruzeiro | Copa Libertadores | 6 | 8 | — | 11.8 | 54% | 3 | 3.3 |
| Cerro Porteño | Copa Libertadores | 11 | 7 | — | 9.9 | 40% | 4 | 2.6 |
| Palmeiras | Copa Libertadores | 16 | 33 | — | 16.7 | 55% | 5.3 | 1.8 |
| São Paulo | Copa Libertadores | 7 | 6 | — | 13.9 | 56% | 5.3 | 1.9 |
| Racing Club | Copa Libertadores | 9 | 14 | — | 15.3 | 51% | 5.1 | 2.9 |
| Fortaleza | Copa Libertadores | 5 | 4 | — | 11.8 | 50% | 6 | 3.4 |
| Club Bolívar | Copa Libertadores | 9 | 11 | — | 14 | 57% | 5.6 | 2.3 |
| Atlético Nacional | Copa Libertadores | 5 | 5 | — | 13.2 | 53% | 6.4 | 3.4 |
| Carabobo | Copa Libertadores | 7 | 6 | — | 11.4 | 40% | 4.6 | 2.3 |
| Junior FC | Copa Libertadores | 6 | 5 | — | 13.3 | 52% | 4.8 | 2.2 |
| Colo-Colo | Copa Libertadores | 3 | 1 | — | 13.3 | 54% | 3.7 | 4 |
| Universitario | Copa Libertadores | 11 | 8 | — | 12 | 46% | 5.8 | 1.8 |
| Atlético Bucaramanga | Copa Libertadores | 3 | 0 | — | 8.3 | 47% | 3 | 3.7 |
| Deportivo La Guaira | Copa Libertadores | 6 | 6 | — | 8.7 | 43% | 3.5 | 2 |
| Deportivo Táchira | Copa Libertadores | 7 | 6 | — | 14.1 | 46% | 4.7 | 2.7 |
| Juventud | Copa Libertadores | 6 | 8 | — | 13.5 | 51% | 4.3 | 1.7 |
| Estudiantes | Copa Libertadores | 13 | 16 | — | 13.3 | 47% | 3.9 | 3 |
| Lanús | Copa Libertadores | 6 | 3 | — | 12.8 | 50% | 6.8 | 2 |
| Platense | Copa Libertadores | 6 | 8 | — | 8.7 | 47% | 3.2 | 2.5 |
| Vélez Sarsfield | Copa Libertadores | 7 | 6 | — | 11 | 50% | 4 | 2.6 |
| Talleres Córdoba | Copa Libertadores | 3 | 3 | — | 13.7 | 52% | 4 | 2.3 |
| River Plate | Copa Libertadores | 7 | 13 | — | 17 | 60% | 5.3 | 2.7 |
| O'Higgins | Copa Libertadores | 4 | 3 | — | 10.5 | 43% | 4 | 3.5 |
| Deportes Tolima | Copa Libertadores | 10 | 10 | — | 10.3 | 59% | 4.3 | 2.3 |
| Sporting Cristal | Copa Libertadores | 13 | 12 | — | 12.8 | 51% | 5 | 3 |
| Alianza Lima | Copa Libertadores | 5 | 3 | — | 14 | 51% | 4.2 | 3.4 |
| LDU Quito | Copa Libertadores | 15 | 22 | — | 12.1 | 44% | 3.1 | 3.2 |
| Cusco FC | Copa Libertadores | 6 | 4 | — | 8.8 | 48% | 3.3 | 2.5 |
| Libertad | Copa Libertadores | 11 | 8 | — | 10.4 | 45% | 4.3 | 2.2 |
| Mirassol | Copa Libertadores | 6 | 7 | — | 10.3 | 51% | 4.2 | 3 |
| Santa Fe | Copa Libertadores | 6 | 6 | — | 10.2 | 45% | 3.5 | 3 |
| Central Cordoba SdE | Copa Libertadores | 3 | 3 | — | 13 | 49% | 3.7 | 2.3 |
| Independiente del Valle | Copa Libertadores | 9 | 16 | — | 18.8 | 57% | 6.4 | 1.4 |
| 2 de Mayo | Copa Libertadores | 4 | 4 | — | 13.3 | 41% | 3 | 2.5 |
| UCV | Copa Libertadores | 6 | 7 | — | 10.8 | 38% | 1.5 | 2.8 |
| Olimpia | Copa Libertadores | 3 | 7 | — | 17.7 | 51% | 4.3 | 2.3 |
| Always Ready | Copa Libertadores | 6 | 7 | — | 16.3 | 52% | 5.2 | 3 |
| San Antonio Bulo Bulo | Copa Libertadores | 3 | 0 | — | 5.7 | 40% | 1 | 3 |