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 |
|---|---|---|---|---|---|---|---|---|
| Minas Brasília W | Brasileiro Women | 15 | 11 | — | 14 | 45% | 4.1 | 1.7 |
| Vitória BA W | Brasileiro Women | 3 | 4 | — | 5.3 | 44% | 0.3 | 2.7 |
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.
| Santos W | Brasileiro Women | 52 | 89 | — | 12.1 | 52% | 5.5 | 1.7 |
| Kindermann-Avaí W | Brasileiro Women | 47 | 56 | — | 6.1 | 42% | 3.7 | 1.3 |
| São José W | Brasileiro Women | 15 | 16 | — | 4 | 38% | 3 | 1.1 |
| Corinthians W | Brasileiro Women | 86 | 224 | — | 17.6 | 60% | 7 | 1.4 |
| Ferroviária W | Brasileiro Women | 78 | 123 | — | 12 | 52% | 4.4 | 1.9 |
| Flamengo W | Brasileiro Women | 64 | 99 | — | 13.3 | 52% | 4.6 | 1.8 |
| Internacional RS W | Brasileiro Women | 70 | 96 | — | 12.5 | 48% | 5.4 | 1.8 |
| Sport Recife W | Brasileiro Women | 15 | 9 | — | 9.5 | 44% | 2.6 | 2.1 |
| São Paulo W | Brasileiro Women | 78 | 145 | — | 12.2 | 52% | 4.9 | 1.7 |
| Palmeiras W | Brasileiro Women | 79 | 203 | — | 15.1 | 59% | 6.5 | 1.6 |
| Grêmio W | Brasileiro Women | 66 | 94 | — | 11.4 | 48% | 4.3 | 2.3 |
| Cruzeiro W | Brasileiro Women | 73 | 144 | — | 12.6 | 49% | 4.3 | 2 |
| RB Bragantino W | Brasileiro Women | 38 | 47 | — | 11.5 | 48% | 4.4 | 1.8 |
| Botafogo W | Brasileiro Women | 33 | 30 | — | 8.7 | 48% | 3.7 | 2.3 |
| Real Brasília W | Brasileiro Women | 59 | 53 | — | 9.6 | 46% | 3.4 | 2.1 |
| Napoli CA W | Brasileiro Women | 15 | 9 | — | 6 | 43% | 3.2 | 0.7 |
| Bahia W | Brasileiro Women | 50 | 63 | — | 11.1 | 47% | 3.7 | 2.2 |
| Athletico Paranaense W | Brasileiro Women | 15 | 15 | — | 7.6 | 42% | 3.8 | 1.9 |
| América Mineiro W | Brasileiro Women | 31 | 41 | — | 12.5 | 50% | 4 | 1.6 |
| Real Ariquemes W | Brasileiro Women | 15 | 10 | — | 3 | 35% | 2.9 | 1.7 |
| Ceará W | Brasileiro Women | 15 | 7 | — | 2.4 | 41% | 2 | 1.5 |
| Fluminense W | Brasileiro Women | 30 | 34 | — | 10.1 | 49% | 4.5 | 3 |
| Atlético Mineiro W | Brasileiro Women | 34 | 31 | — | 10.7 | 45% | 4.4 | 2.4 |
| Mixto W | Brasileiro Women | 3 | 2 | — | 8 | 42% | 2.3 | 2 |
| Juventude W | Brasileiro Women | 18 | 12 | — | 10.3 | 36% | 2.9 | 2.1 |
| 3B da Amazônia W | Brasileiro Women | 15 | 11 | — | 8.4 | 42% | 2.5 | 2.1 |