Expected goals, xGA, shots on target, possession, BTTS rate and over/under rate for every team across Europe's top five leagues. Powered by the same data that drives xGaura's daily predictions. No registration required.
All xG data is free to access. Read how we calculate and use xG in our model.
| # | Club | MP | xG | xGA | Diff | SoT | Poss | BTTS% | O2.5% | CS% |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | ARS Arsenal |
38 | 3.20 | 0.75 | +2.45 | 13 | 55% | 72% | 70% | 31% |
| 2 | MCI Manchester City |
38 | 3.20 | 0.97 | +2.23 | 13 | 55% | 71% | 69% | 34% |
| 3 | MNU Manchester United |
38 | 3.20 | 1.38 | +1.82 | 13 | 55% | 60% | 61% | 37% |
| 4 | AVL Aston Villa |
38 | 3.20 | 1.35 | +1.85 | 13 | 55% | 54% | 57% | 32% |
| 5 | LIV Liverpool |
38 | 3.20 | 1.46 | +1.74 | 13 | 55% | 55% | 58% | 34% |
| 6 | BOU Bournemouth |
38 | 2.93 | 1.49 | +1.44 | 12.3 | 54% | 52% | 56% | 47% |
| 8 | BRI Brighton |
38 | 2.77 | 1.27 | +1.50 | 11.9 | 53% | 53% | 57% | 37% |
| 10 | CHE Chelsea |
38 | 2.72 | 1.44 | +1.28 | 11.8 | 53% | 53% | 57% | 35% |
| 9 | BRE Brentford |
38 | 2.71 | 1.44 | +1.27 | 11.8 | 53% | 52% | 56% | 37% |
| 7 | Sun Sunderland |
38 | 2.58 | 1.33 | +1.25 | 11.5 | 53% | 47% | 53% | 38% |
| 11 | FUL Fulham |
38 | 2.52 | 1.41 | +1.11 | 11.3 | 53% | 48% | 54% | 31% |
| 12 | NEW Newcastle |
38 | 2.41 | 1.52 | +0.89 | 11 | 52% | 49% | 54% | 31% |
| 13 | EVE Everton |
38 | 2.39 | 1.38 | +1.01 | 11 | 52% | 49% | 54% | 35% |
| 14 | Lee Leeds |
38 | 2.21 | 1.55 | +0.66 | 10.5 | 52% | 47% | 53% | 41% |
| 16 | NOT Nottingham Forest |
38 | 2.14 | 1.41 | +0.73 | 10.4 | 51% | 49% | 54% | 37% |
| 15 | CRY Crystal Palace |
38 | 2.05 | 1.41 | +0.64 | 10.1 | 51% | 45% | 52% | 38% |
| 17 | TOT Tottenham |
38 | 1.87 | 1.58 | +0.29 | 9.7 | 51% | 46% | 52% | 37% |
| 18 | WHU West Ham |
38 | 1.57 | 1.80 | -0.23 | 8.9 | 50% | 41% | 49% | 34% |
| 19 | BUR Burnley |
38 | 0.70 | 2.07 | -1.37 | 6.8 | 47% | 32% | 43% | 35% |
| 20 | WOL Wolves |
38 | 0.70 | 1.88 | -1.18 | 6.8 | 47% | 30% | 41% | 37% |
| # | Club | MP | xG | xGA | Diff | SoT | Poss | BTTS% | O2.5% | CS% |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | BAR Barcelona |
38 | 3.20 | 0.99 | +2.21 | 13 | 55% | 80% | 75% | 22% |
| 2 | RMA Real Madrid |
38 | 3.20 | 0.97 | +2.23 | 13 | 55% | 71% | 69% | 28% |
| 3 | VIL Villarreal |
38 | 3.20 | 1.27 | +1.93 | 13 | 55% | 63% | 64% | 29% |
| 4 | ATM Atletico Madrid |
38 | 3.20 | 1.22 | +1.98 | 13 | 55% | 59% | 61% | 29% |
| 5 | BET Real Betis |
38 | 3.20 | 1.33 | +1.87 | 13 | 55% | 56% | 59% | 43% |
| 6 | CEL Celta Vigo |
38 | 2.80 | 1.33 | +1.47 | 12 | 53% | 53% | 57% | 38% |
| 8 | Ray Rayo Vallecano |
38 | 2.44 | 1.22 | +1.22 | 11.1 | 52% | 49% | 54% | 41% |
| 7 | GET Getafe |
38 | 2.43 | 1.05 | +1.38 | 11.1 | 52% | 47% | 53% | 29% |
| 9 | VAL Valencia |
38 | 2.27 | 1.52 | +0.75 | 10.7 | 52% | 46% | 52% | 35% |
| 10 | RSO Real Sociedad |
38 | 2.26 | 1.69 | +0.57 | 10.7 | 52% | 49% | 54% | 40% |
| 11 | Esp Espanyol |
38 | 2.06 | 1.52 | +0.54 | 10.2 | 51% | 44% | 51% | 35% |
| 15 | Elc Elche |
38 | 1.99 | 1.58 | +0.41 | 10 | 51% | 46% | 52% | 40% |
| 17 | OSA Osasuna |
38 | 1.98 | 1.38 | +0.60 | 10 | 51% | 47% | 53% | 34% |
| 12 | ATH Athletic Club |
38 | 1.95 | 1.60 | +0.35 | 9.9 | 51% | 43% | 50% | 29% |
| 14 | ALA Alaves |
38 | 1.91 | 1.55 | +0.36 | 9.8 | 51% | 44% | 51% | 35% |
| 18 | Mal Mallorca |
38 | 1.90 | 1.58 | +0.32 | 9.8 | 51% | 45% | 52% | 34% |
| 13 | SEV Sevilla |
38 | 1.87 | 1.66 | +0.21 | 9.7 | 51% | 43% | 50% | 31% |
| 16 | Lev Levante |
38 | 1.82 | 1.69 | +0.13 | 9.6 | 50% | 43% | 50% | 34% |
| 19 | Gir Girona |
38 | 1.73 | 1.52 | +0.21 | 9.3 | 50% | 42% | 50% | 41% |
| 20 | Ovi Oviedo |
38 | 0.77 | 1.66 | -0.89 | 6.9 | 47% | 33% | 44% | 37% |
| # | Club | MP | xG | xGA | Diff | SoT | Poss | BTTS% | O2.5% | CS% |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Int Inter |
38 | 3.20 | 0.97 | +2.23 | 13 | 55% | 77% | 73% | 29% |
| 2 | NAP Napoli |
38 | 3.20 | 0.99 | +2.21 | 13 | 55% | 61% | 62% | 31% |
| 3 | ROM AS Roma |
38 | 3.20 | 0.86 | +2.34 | 13 | 55% | 64% | 64% | 26% |
| 4 | Com Como |
38 | 3.20 | 0.80 | +2.40 | 13 | 55% | 68% | 67% | 37% |
| 5 | MIL AC Milan |
38 | 3.20 | 0.97 | +2.23 | 13 | 55% | 59% | 61% | 35% |
| 6 | JUV Juventus |
38 | 3.20 | 0.94 | +2.26 | 13 | 55% | 64% | 64% | 38% |
| 7 | ATA Atalanta |
38 | 3.20 | 0.99 | +2.21 | 13 | 55% | 58% | 60% | 41% |
| 8 | BOL Bologna |
38 | 2.86 | 1.27 | +1.59 | 12.2 | 54% | 52% | 56% | 32% |
| 9 | LAZ Lazio |
38 | 2.72 | 1.11 | +1.61 | 11.8 | 53% | 51% | 55% | 38% |
| 10 | Udi Udinese |
38 | 2.44 | 1.33 | +1.11 | 11.1 | 52% | 49% | 54% | 32% |
| 11 | Sas Sassuolo |
38 | 2.37 | 1.38 | +0.99 | 10.9 | 52% | 48% | 54% | 31% |
| 15 | FIO Fiorentina |
38 | 1.92 | 1.38 | +0.54 | 9.8 | 51% | 46% | 52% | 43% |
| 13 | Par Parma |
38 | 1.89 | 1.27 | +0.62 | 9.7 | 51% | 41% | 49% | 38% |
| 14 | Cag Cagliari |
38 | 1.89 | 1.46 | +0.43 | 9.7 | 51% | 44% | 51% | 35% |
| 12 | TOR Torino |
38 | 1.87 | 1.74 | +0.13 | 9.7 | 51% | 41% | 49% | 34% |
| 16 | GEN Genoa |
38 | 1.85 | 1.41 | +0.44 | 9.6 | 51% | 45% | 52% | 37% |
| 17 | Lec Lecce |
38 | 1.46 | 1.38 | +0.08 | 8.7 | 49% | 39% | 48% | 32% |
| 18 | Cre Cremonese |
38 | 1.20 | 1.58 | -0.38 | 8 | 49% | 38% | 47% | 35% |
| 19 | Hel Hellas Verona |
38 | 0.70 | 1.69 | -0.99 | 6.8 | 47% | 32% | 43% | 38% |
| 20 | Pis Pisa |
38 | 0.70 | 1.96 | -1.26 | 6.8 | 47% | 28% | 40% | 38% |
| # | Club | MP | xG | xGA | Diff | SoT | Poss | BTTS% | O2.5% | CS% |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Bay Bayern München |
34 | 3.20 | 1.11 | +2.09 | 13 | 55% | 93% | 84% | 28% |
| 2 | Bor Borussia Dortmund |
34 | 3.20 | 1.05 | +2.15 | 13 | 55% | 68% | 67% | 31% |
| 3 | RBL RB Leipzig |
34 | 3.20 | 1.45 | +1.75 | 13 | 55% | 60% | 61% | 28% |
| 4 | STU VfB Stuttgart |
34 | 3.20 | 1.51 | +1.69 | 13 | 55% | 61% | 62% | 32% |
| 5 | 189 1899 Hoffenheim |
34 | 3.20 | 1.61 | +1.59 | 13 | 55% | 57% | 59% | 31% |
| 6 | LEV Bayer Leverkusen |
34 | 3.20 | 1.45 | +1.75 | 13 | 55% | 61% | 62% | 32% |
| 7 | SC SC Freiburg |
34 | 2.23 | 1.76 | +0.47 | 10.6 | 52% | 47% | 53% | 32% |
| 8 | FRA Eintracht Frankfurt |
34 | 2.12 | 2.01 | +0.11 | 10.3 | 51% | 48% | 54% | 37% |
| 9 | FC FC Augsburg |
34 | 1.83 | 1.88 | -0.05 | 9.6 | 50% | 42% | 50% | 31% |
| 10 | FSV FSV Mainz 05 |
34 | 1.82 | 1.64 | +0.18 | 9.6 | 50% | 46% | 52% | 35% |
| 12 | Bor Borussia Mönchengladbach |
34 | 1.68 | 1.64 | +0.04 | 9.2 | 50% | 45% | 51% | 37% |
| 11 | Uni Union Berlin |
34 | 1.67 | 1.79 | -0.12 | 9.2 | 50% | 43% | 50% | 34% |
| 13 | Ham Hamburger SV |
34 | 1.62 | 1.67 | -0.05 | 9.1 | 50% | 43% | 50% | 37% |
| 14 | 1. 1. FC Köln |
34 | 1.32 | 1.95 | -0.63 | 8.3 | 49% | 43% | 50% | 37% |
| 15 | Wer Werder Bremen |
34 | 1.14 | 1.85 | -0.71 | 7.9 | 48% | 39% | 47% | 32% |
| 16 | VfL VfL Wolfsburg |
34 | 0.97 | 2.13 | -1.16 | 7.4 | 48% | 38% | 47% | 32% |
| 17 | 1. 1. FC Heidenheim |
34 | 0.70 | 2.22 | -1.52 | 6.8 | 47% | 35% | 45% | 32% |
| 18 | FC FC St. Pauli |
34 | 0.70 | 1.85 | -1.15 | 6.8 | 47% | 35% | 45% | 32% |
| # | Club | MP | xG | xGA | Diff | SoT | Poss | BTTS% | O2.5% | CS% |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Par Paris Saint Germain |
34 | 3.20 | 0.90 | +2.30 | 13 | 55% | 73% | 70% | 26% |
| 2 | LEN Lens |
34 | 3.20 | 1.08 | +2.12 | 13 | 55% | 66% | 65% | 26% |
| 3 | LIL Lille |
34 | 3.20 | 1.14 | +2.06 | 13 | 55% | 58% | 60% | 31% |
| 4 | LYO Lyon |
34 | 3.20 | 1.24 | +1.96 | 13 | 55% | 57% | 59% | 29% |
| 5 | MAR Marseille |
34 | 3.20 | 1.39 | +1.81 | 13 | 55% | 59% | 61% | 28% |
| 6 | REN Rennes |
34 | 3.13 | 1.54 | +1.59 | 12.8 | 54% | 55% | 58% | 32% |
| 8 | STR Strasbourg |
34 | 2.87 | 1.45 | +1.42 | 12.2 | 54% | 56% | 59% | 32% |
| 7 | MON Monaco |
34 | 2.82 | 1.67 | +1.15 | 12.1 | 53% | 53% | 57% | 29% |
| 10 | Tou Toulouse |
33 | 2.22 | 1.46 | +0.76 | 10.6 | 52% | 51% | 55% | 32% |
| 9 | Lor Lorient |
34 | 2.19 | 1.58 | +0.61 | 10.5 | 52% | 49% | 54% | 38% |
| 11 | Par Paris FC |
34 | 2.14 | 1.54 | +0.60 | 10.4 | 51% | 49% | 54% | 37% |
| 12 | Sta Stade Brestois 29 |
34 | 1.71 | 1.70 | +0.01 | 9.3 | 50% | 44% | 51% | 34% |
| 14 | Le Le Havre |
34 | 1.51 | 1.36 | +0.15 | 8.8 | 50% | 44% | 51% | 41% |
| 15 | Aux Auxerre |
34 | 1.50 | 1.36 | +0.14 | 8.8 | 50% | 45% | 52% | 35% |
| 13 | Ang Angers |
34 | 1.42 | 1.48 | -0.06 | 8.6 | 49% | 41% | 49% | 34% |
| 16 | NIC Nice |
34 | 1.14 | 1.85 | -0.71 | 7.9 | 48% | 39% | 47% | 37% |
| 17 | Nan Nantes |
33 | 0.70 | 1.65 | -0.95 | 6.8 | 47% | 39% | 47% | 32% |
| 18 | Met Metz |
34 | 0.70 | 2.35 | -1.65 | 6.8 | 47% | 28% | 40% | 32% |
Expected goals (xG) is a statistical measure that assigns a probability to each shot, representing the likelihood of it resulting in a goal based on shot quality rather than outcomes. A shot from six yards centrally might have an xG of 0.75. A long-range effort from outside the box might have an xG of 0.04. Summing all shots in a match gives each team's total xG — a measure of how many goals they deserved based on the chances they created.
Why is xG more useful than actual goals? Because goals contain random variance. An exceptional save, a shot hitting the post, a goalkeeper's positioning error — these are low-probability events that affect whether a goal is scored but carry no information about the quality of the chance itself. Over a season, teams tend to score roughly in line with their accumulated xG. Teams consistently outperforming their xG are likely finishing well above the sustainable rate and will regress. Teams underperforming are likely to improve.
xG (Expected Goals For) — how many goals per game a team is expected to score based on the quality of chances they create. The teams at the top of this column are the most dangerous attacking sides in the league. xGA (Expected Goals Against) — how many goals per game a team is expected to concede based on the quality of chances their opponents create against them. Lower is better. Diff (xG − xGA) — the net xG differential. A positive differential indicates a team creating significantly better chances than they allow. This is the most reliable single indicator of a team's true quality. BTTS% — the percentage of a team's matches in which both teams scored. High BTTS% teams make strong candidates for BTTS Yes markets. O2.5% — the percentage of matches in which over 2.5 goals were scored. High O2.5% teams are good candidates for over markets. CS% — clean sheet percentage, useful for BTTS No and under markets.
xG data is most useful when it reveals a gap between actual results and expected performance. A team sitting mid-table with the third-best xG differential in the league is likely underperforming and worth backing. A team in the top four with a negative xG differential has likely been scoring from poor chances or benefiting from opponents' poor finishing — a fragile position that may not hold. Cross-reference the xG table with the points standings and the value bet index to find markets where the bookmaker's price does not reflect the underlying statistical reality.
All xG figures are rolling 38-match averages, updated daily. For the full Poisson model output using these xG inputs, see the mathematical predictions page. For tips derived from the model, see today's predictions. Bet responsibly. 18+ only.
Full Poisson scoreline matrices and 1X2 probabilities for today's fixtures, built from the xG data on this page.
Full league standings with xG and xGA columns — see which teams are over or underperforming their expected results.
Markets where the model's probability exceeds the bookmaker's implied price. Built from the xG inputs above.