Compare statistics across global football leagues | ProBettingHub
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Compare statistics across global football leagues
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Viewing 57 leagues
League | Goals | Home | Away | xG | +/- | Progress | Rank |
|---|---|---|---|---|---|---|---|
 La Liga Spain | 2.69 | 1.57 | 1.12 | 2.70 | -0.01 | 100% | |
 Bundesliga Germany | 3.22 | 1.77 | 1.45 | 3.14 | +0.08 | 100% | |
 Premier League England | 2.75 | 1.53 | 1.22 | 2.79 | -0.04 | 100% | |
3.18 | 1.87 | 1.31 | 3.29 | -0.11 | 100% | ||
 Serie A Italy | 2.43 | 1.28 | 1.15 | 2.51 | -0.08 | 100% | |
 Ligue 1 France | 2.83 | 1.59 | 1.24 | 2.87 | -0.04 | 100% | |
 Serie A Brazil | 2.66 | 1.55 | 1.11 | 2.39 | +0.27 | 41% | |
 UEFA Europa League World | 2.69 | 1.51 | 1.18 | 2.77 | -0.08 | 100% | |
 Jupiler Pro League Belgium | 2.68 | 1.44 | 1.24 | 2.76 | -0.08 | 100% | |
 Liga Profesional Argentina Argentina | 2.07 | 1.18 | 0.89 | 2.47 | -0.40 | 46% | |
3.30 | 1.94 | 1.37 | 2.95 | +0.35 | 40% | ||
 Eredivisie Netherlands | 3.16 | 1.80 | 1.37 | 3.02 | +0.14 | 100% | |
 Süper Lig Turkey | 2.65 | 1.44 | 1.21 | 2.59 | +0.06 | 100% | |
 Primeira Liga Portugal | 2.67 | 1.49 | 1.18 | 2.60 | +0.07 | 100% | |
 Segunda Liga Portugal | 2.43 | 1.28 | 1.16 | 3.03 | -0.60 | 100% | |
 Ligue 2 France | 2.53 | 1.32 | 1.22 | 3.20 | -0.67 | 100% | |
 J1 League Japan | 2.66 | 1.39 | 1.27 | 2.66 | 0.00 | 98% | |
 Championship England | 2.59 | 1.39 | 1.20 | 2.57 | +0.02 | 100% | |
 J-League Cup Japan | 2.88 | 1.30 | 1.58 | 3.03 | -0.15 | 100% | |
 Serie B Italy | 2.55 | 1.48 | 1.07 | 2.65 | -0.10 | 100% | |
 Segunda División Spain | 2.63 | 1.45 | 1.18 | 2.83 | -0.20 | 98% | |
 Superliga Denmark | 3.10 | 1.66 | 1.45 | 3.18 | -0.08 | 100% | |
 A-League Australia | 2.82 | 1.49 | 1.33 | 3.00 | -0.18 | 100% | |
 Premiership Scotland | 2.75 | 1.57 | 1.18 | 2.72 | +0.03 | 100% | |
 Allsvenskan Sweden | 3.15 | 1.77 | 1.38 | 2.97 | +0.18 | 26% |
Showing 1-25 of 57
League | Goals/Match | Home Goals | Away Goals | xG | xG +/- | Progress | Rank |
|---|---|---|---|---|---|---|---|
La Liga Spain | 2.69 | 1.57 | 1.12 | 2.70 | -0.01 | 100% | |
Bundesliga Germany | 3.22 | 1.77 | 1.45 | 3.14 | +0.08 | 100% | |
Premier League England | 2.75 | 1.53 | 1.22 | 2.79 | -0.04 | 100% | |
3.18 | 1.87 | 1.31 | 3.29 | -0.11 | 100% | ||
Serie A Italy | 2.43 | 1.28 | 1.15 | 2.51 | -0.08 | 100% | |
Ligue 1 France | 2.83 | 1.59 | 1.24 | 2.87 | -0.04 | 100% | |
Serie A Brazil | 2.66 | 1.55 | 1.11 | 2.39 | +0.27 | 41% | |
UEFA Europa League World | 2.69 | 1.51 | 1.18 | 2.77 | -0.08 | 100% | |
Jupiler Pro League Belgium | 2.68 | 1.44 | 1.24 | 2.76 | -0.08 | 100% | |
Liga Profesional Argentina Argentina | 2.07 | 1.18 | 0.89 | 2.47 | -0.40 | 46% | |
3.30 | 1.94 | 1.37 | 2.95 | +0.35 | 40% | ||
Eredivisie Netherlands | 3.16 | 1.80 | 1.37 | 3.02 | +0.14 | 100% | |
Süper Lig Turkey | 2.65 | 1.44 | 1.21 | 2.59 | +0.06 | 100% | |
Primeira Liga Portugal | 2.67 | 1.49 | 1.18 | 2.60 | +0.07 | 100% | |
Segunda Liga Portugal | 2.43 | 1.28 | 1.16 | 3.03 | -0.60 | 100% | |
Ligue 2 France | 2.53 | 1.32 | 1.22 | 3.20 | -0.67 | 100% | |
J1 League Japan | 2.66 | 1.39 | 1.27 | 2.66 | 0.00 | 98% | |
Championship England | 2.59 | 1.39 | 1.20 | 2.57 | +0.02 | 100% | |
J-League Cup Japan | 2.88 | 1.30 | 1.58 | 3.03 | -0.15 | 100% | |
Serie B Italy | 2.55 | 1.48 | 1.07 | 2.65 | -0.10 | 100% | |
Segunda División Spain | 2.63 | 1.45 | 1.18 | 2.83 | -0.20 | 98% | |
Superliga Denmark | 3.10 | 1.66 | 1.45 | 3.18 | -0.08 | 100% | |
A-League Australia | 2.82 | 1.49 | 1.33 | 3.00 | -0.18 | 100% | |
Premiership Scotland | 2.75 | 1.57 | 1.18 | 2.72 | +0.03 | 100% | |
Allsvenskan Sweden | 3.15 | 1.77 | 1.38 | 2.97 | +0.18 | 26% |
Showing 1-25 of 57
Understanding the Scoring & xG Columns
Goals/Match
The average total goals per match across all league fixtures. The most fundamental measure of a league's attacking output and entertainment value.
Home Goals
Average goals scored by the home team per match. Typically higher than away goals due to home advantage effects including crowd support and pitch familiarity.
Away Goals
Average goals scored by the away team per match. The gap between home and away goals reveals the strength of home advantage in each competition.
xG (Expected Goals)
Average Expected Goals per match — a model-based metric that assigns each shot a probability of being scored based on distance, angle, body part, and assist type. Represents the quality of chances created rather than actual goals.
xG Overperformance
The difference between actual goals and expected goals. Positive values indicate clinical finishing beyond what chance quality would predict. Negative values suggest wasteful shooting or exceptional goalkeeping across the league.
Goals & Expected Goals (xG) Analysis Across Football Leagues
Dive deep into goal-scoring patterns and Expected Goals (xG) data across global football leagues. Our scoring analysis breaks down home and away goal averages, xG metrics, and xG overperformance to reveal which leagues produce the most clinical finishers and which teams consistently outperform their expected output.
Expected Goals (xG) has revolutionized football analysis by quantifying the quality of chances created. A team or league with high xG overperformance suggests clinical finishing beyond what the chances warranted, while negative overperformance indicates wastefulness in front of goal. Comparing xG across leagues reveals fundamental differences in playing philosophy — some leagues create fewer but higher-quality chances, while others generate volume through relentless pressing.
Home and away goal splits reveal tactical asymmetries in each league. Leagues with a strong home advantage tend to show significantly higher home goal averages, driven by crowd influence, travel fatigue, and tactical approaches. Understanding these splits is crucial for analyzing match dynamics and predicting outcomes in specific league contexts. Filter by time period to see how goal-scoring trends evolve as the season progresses.
Frequently Asked Questions About Goals & xG
What is Expected Goals (xG) in football?
Expected Goals (xG) is a statistical metric that measures the quality of scoring chances by assigning each shot a probability of being scored based on factors like distance from goal, angle, body part used, and type of assist. An xG of 0.5 means the average player would score that chance 50% of the time.
What does xG overperformance mean?
xG overperformance is the difference between actual goals scored and expected goals. Positive overperformance means a team or league scores more goals than the quality of chances would suggest, indicating clinical finishing. Negative overperformance suggests missed opportunities and poor conversion rates.
Why do home teams score more goals on average?
Home advantage in football is driven by multiple factors: crowd support influencing referee decisions and player confidence, familiarity with the pitch and facilities, lack of travel fatigue, and tactical approaches where home teams typically play more aggressively. Studies show home advantage has decreased slightly in recent years, particularly during and after the COVID-19 era with empty stadiums.