Discover teams creating the highest quality scoring chances. Our xG analytics reveal which teams consistently generate dangerous opportunities, providing crucial insights for attacking performance and goal-scoring potential.
Expected Goals (xG) is one of the most reliable metrics in football analytics, offering deep insight into how many goals a team should score based on the quality of their chances. Below, you'll find the top 50 teams with the highest average xG values, calculated from their last 10 competitive matches.
| Rank | Team | Expected Goals | Quality | Next Match |
|---|---|---|---|---|
| #1 | ![]() | 2.84 xG per Match | Elite | Bayer Leverkusen - Bayern MunichMar 14 |
| #2 | ![]() | 2.52 xG per Match | Elite | Barcelona - SevillaMar 15 |
| #3 | ![]() | 2.40 xG per Match | Strong | PSG - NantesMar 15 |
| #4 | ![]() | 2.34 xG per Match | Strong | PSV - NECMar 14 |
| #5 | ![]() | 2.28 xG per Match | Strong | Lech Poznan - Shakhtar DonetskMar 12 |
| #6 | ![]() | 2.15 xG per Match | Strong | Chelsea - NewcastleMar 14 |
| #7 | ![]() | 2.13 xG per Match | Strong | NK Osijek - HNK GoricaMar 14 |
| #8 | ![]() | 2.12 xG per Match | Strong | FCSB - Metaloglobus BucurestiMar 13 |
| #9 | ![]() | 2.12 xG per Match | Strong | VfB Stuttgart - FC PortoMar 12 |
| #10 | ![]() | 2.12 xG per Match | Strong | Tromso - FredrikstadMar 15 |
| #11 | ![]() | 2.11 xG per Match | Strong | Lorient - LensMar 14 |
| #12 | ![]() | 2.11 xG per Match | Strong | Flamengo - CruzeiroMar 12 |
| #13 | ![]() | 2.10 xG per Match | Strong | FC Twente - FC UtrechtMar 15 |
| #14 | ![]() | 2.09 xG per Match | Strong | Liverpool - TottenhamMar 15 |
| #15 | ![]() | 2.05 xG per Match | Strong | Chelsea - NewcastleMar 14 |
| #16 | ![]() | 2.02 xG per Match | Strong | Udinese - JuventusMar 14 |
| #17 | ![]() | 2.01 xG per Match | Strong | NK Celje - AEK AthensMar 12 |
| #18 | ![]() | 2.01 xG per Match | Strong | Dinamo Zagreb - Slaven BelupoMar 14 |
| #19 | ![]() | 1.98 xG per Match | Average | Schalke - Hannover 96Mar 15 |
| #20 | ![]() | 1.98 xG per Match | Average | West Ham - Man CityMar 14 |
| #21 | ![]() | 1.96 xG per Match | Average | Cambuur Leeuwarden - Roda JCMar 13 |
| #22 | ![]() | 1.95 xG per Match | Average | Arouca - BenficaMar 14 |
| #23 | ![]() | 1.94 xG per Match | Average | Lucerne - WinterthurMar 15 |
| #24 | ![]() | 1.92 xG per Match | Average | Sochaux - ConcarneauMar 13 |
| #25 | ![]() | 1.91 xG per Match | Average | St Gallen - LuganoMar 14 |
| #26 | ![]() | 1.91 xG per Match | Average | Galatasaray - Istanbul BasaksehirMar 14 |
| #27 | ![]() | 1.91 xG per Match | Average | Swindon - Milton Keynes DonsMar 14 |
| #28 | ![]() | 1.90 xG per Match | Average | Como - RomaMar 15 |
| #29 | ![]() | 1.88 xG per Match | Average | Galatasaray - Istanbul BasaksehirMar 14 |
| #30 | ![]() | 1.88 xG per Match | Average | Atletico Madrid - GetafeMar 14 |
| #31 | ![]() | 1.87 xG per Match | Average | Sigma Olomouc - MainzMar 12 |
| #32 | ![]() | 1.85 xG per Match | Average | Genk - SC FreiburgMar 12 |
| #33 | ![]() | 1.84 xG per Match | Average | Ham-Kam - Viking FKMar 14 |
| #34 | ![]() | 1.84 xG per Match | Average | Top Oss - Willem IIMar 13 |
| #35 | ![]() | 1.84 xG per Match | Average | HNK Rijeka - StrasbourgMar 12 |
| #36 | ![]() | 1.84 xG per Match | Average | St Mirren - RangersMar 15 |
| #37 | ![]() | 1.84 xG per Match | Average | VfB Stuttgart - RB LeipzigMar 14 |
| #38 | ![]() | 1.83 xG per Match | Average | LASK Linz - HartbergMar 13 |
| #39 | ![]() | 1.82 xG per Match | Average | Genclerbirligi - BesiktasMar 15 |
| #40 | ![]() | 1.81 xG per Match | Average | San Diego FC - TolucaMar 12 |
| #41 | ![]() | 1.80 xG per Match | Average | De Graafschap - FC DordrechtMar 14 |
| #42 | ![]() | 1.80 xG per Match | Average | TSG Hoffenheim - WolfsburgMar 14 |
| #43 | ![]() | 1.79 xG per Match | Average | Celtic - MotherwellMar 14 |
| #44 | ![]() | 1.79 xG per Match | Average | Notts County - ChesterfieldMar 14 |
| #45 | ![]() | 1.78 xG per Match | Average | Newcastle Jets - Auckland FCMar 14 |
| #46 | ![]() | 1.78 xG per Match | Average | Westerlo - Club BruggeMar 14 |
| #47 | ![]() | 1.78 xG per Match | Average | Midtjylland - FC NordsjaellandMar 15 |
| #48 | ![]() | 1.77 xG per Match | Average | VfB Stuttgart - FC PortoMar 12 |
| #49 | ![]() | 1.76 xG per Match | Average | Clube Do Remo - FluminenseMar 12 |
| #50 | ![]() | 1.76 xG per Match | Average | FK Zeleziarne Podbrezova - MFK Zemplin MichalovceMar 14 |
Expected Goals (xG) is a statistical metric that measures the quality of scoring chances created by a team. It calculates the probability that a shot will result in a goal based on factors like shot location, angle, type of assist, and defensive pressure.
Teams with higher xG values consistently create better scoring opportunities, making them more likely to score goals and win matches. This metric is crucial for identifying truly dangerous attacking teams beyond just goal tallies.
Use these Expected Goals statistics to identify teams with the strongest attacking potential. Combine xG data with our daily predictions to make more informed betting decisions and maximize your success rate.