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 |
|---|---|---|---|---|---|---|---|---|
| Rubin Kazan | Russian Cup | 7 | 5 | — | 8.6 | 46% | 6 | 1.9 |
| Ufa | Russian Cup | 3 | 3 | — | 4.5 | 53% | 4.7 | 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.
| Krylya Sovetov | Russian Cup | 10 | 12 | — | 8.5 | 46% | 4.5 | 1.3 |
| Lokomotiv Moskva | Russian Cup | 11 | 15 | — | 10.3 | 49% | 3.6 | 2.6 |
| CSKA Moskva | Russian Cup | 15 | 21 | — | 10.5 | 56% | 4.9 | 1.9 |
| Dinamo Moskva | Russian Cup | 13 | 20 | — | 11.9 | 50% | 5.2 | 2.1 |
| Krasnodar | Russian Cup | 13 | 27 | — | 11.3 | 57% | 4 | 2.8 |
| Spartak Moskva | Russian Cup | 15 | 27 | — | 11.9 | 53% | 4.5 | 2.3 |
| Zenit | Russian Cup | 13 | 25 | — | 11.1 | 53% | 4 | 1.2 |
| Orenburg | Russian Cup | 9 | 7 | — | 11.4 | 45% | 5.3 | 2.9 |
| Akhmat Grozny | Russian Cup | 6 | 8 | — | 11.3 | 52% | 4.5 | 2.2 |
| Arsenal Tula | Russian Cup | 5 | 8 | — | 4.8 | 49% | 2.8 | 1.2 |
| Sochi | Russian Cup | 6 | 8 | — | 8 | 45% | 4 | 1.3 |
| Astrakhan | Russian Cup | 3 | 5 | — | 7 | 58% | 8.3 | 1.7 |
| Volgar Astrakhan | Russian Cup | 3 | 3 | — | 6 | 54% | 6 | 2 |
| Baltika Kaliningrad | Russian Cup | 8 | 8 | — | 11.3 | 52% | 5.6 | 2.4 |
| Rostov | Russian Cup | 11 | 15 | — | 9.2 | 47% | 3.8 | 2.6 |
| Neftekhimik | Russian Cup | 4 | 4 | — | 7.5 | 52% | 6 | 0.8 |
| Tekstilshchik | Russian Cup | 3 | 1 | — | 9 | 60% | 7 | 1 |
| Znamya Truda | Russian Cup | 3 | 3 | — | 7.7 | 61% | 3 | 1.7 |
| Fakel | Russian Cup | 3 | 4 | — | 8.3 | 52% | 3.7 | 1 |
| Torpedo Moskva | Russian Cup | 4 | 7 | — | 6 | 56% | 5.8 | 1.3 |
| FK Nizjni Novgorod | Russian Cup | 6 | 4 | — | 9.8 | 48% | 4.8 | 2.2 |
| KAMAZ | Russian Cup | 4 | 4 | — | 5.5 | 44% | 1.8 | 3.3 |
| Chelyabinsk | Russian Cup | 3 | 3 | — | 6.7 | 56% | 3.7 | 1.7 |
| Cherepovets | Russian Cup | 3 | 1 | — | 3 | 50% | 3.7 | 1.3 |
| Luki-Energiya | Russian Cup | 3 | 0 | — | 10 | 54% | 5 | 1 |
| Veles | Russian Cup | 4 | 8 | — | 6.8 | 54% | 7 | 1.8 |
| Kuban Kholding | Russian Cup | 5 | 5 | — | 6.8 | 47% | 4.6 | 2 |
| Akron | Russian Cup | 6 | 6 | — | 10.3 | 44% | 3.8 | 2.3 |
| Dynamo Makhachkala | Russian Cup | 10 | 13 | — | 10.3 | 45% | 2.9 | 2.4 |
| Volna Kovernino | Russian Cup | 3 | 0 | — | 5 | 51% | 3 | 1.3 |
| Fankom SSh 5 | Russian Cup | 3 | 1 | — | 1 | 37% | 2.3 | 1 |
| Irkutsk | Russian Cup | 3 | 5 | — | 8.3 | 46% | 4.7 | 0.7 |
| Temp Barnaul | Russian Cup | 3 | 0 | — | 8 | 45% | 3 | 2.3 |
| Amkal | Russian Cup | 4 | 7 | — | 8.5 | 45% | 3.8 | 3.5 |
| Kristall MEZ | Russian Cup | 3 | 2 | — | 8 | 43% | 3 | 1.3 |
| Broke Boys | Russian Cup | 4 | 0 | — | 7 | 53% | 4 | 3 |
| KDV | Russian Cup | 3 | 0 | — | 9 | 53% | 6.5 | 0 |
| PSK Dinskaya | Russian Cup | 4 | 3 | — | 6.7 | 50% | 3.5 | 3 |