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Home Advantage Statistics: Football Leagues Ranked by Home Win Rate
Discover home advantage statistics across football leagues — see which competitions favour home sides most with real data. Explore more on Betiball.
In the 2022/23 Premier League season, home sides won 44.7% of all matches — yet in the Greek Super League that same campaign, the home win rate climbed to nearly 54%. That gap is not a coincidence. Home advantage statistics in football leagues vary dramatically depending on culture, travel distances, referee tendencies, and crowd intensity. Understanding exactly where home field football matters most is one of the most underrated edges a serious analyst can build into their process. At Betiball, we track home win percentages across dozens of competitions so you can see the full picture in one place.
What the Overall Numbers Tell Us Across Europe
Before breaking down individual leagues, it helps to establish a baseline. Across Europe's top five leagues combined — the Premier League, La Liga, Bundesliga, Serie A, and Ligue 1 — the average home win percentage over the five seasons from 2018/19 through 2022/23 sits at approximately 45.1%. Draw rates hover around 25.4%, and away wins account for roughly 29.5% of results.
That means even in the most-watched football on the planet, nearly three in ten matches are won by the visiting side. Home field football is real, but it is far from guaranteed — and the variation between leagues is where the analytical value lives.
One critical data point: during the COVID-19 ghost game period of 2019/20 and 2020/21, home win rates in the Bundesliga dropped from 45.6% to 40.0% when fans were absent. Serie A saw a similar fall from 46.9% to 42.3%. That natural experiment confirmed that crowd presence accounts for roughly 4 to 6 percentage points of home advantage on its own.
Home Win Percentage by League: The Definitive Comparison Table
The table below covers home win percentages across 12 major and mid-tier European leagues, averaged across the five completed seasons from 2018/19 to 2022/23. We have excluded the anomalous COVID ghost-game seasons where possible or noted their distorting effect.
| League | Country | Avg Home Win % | Avg Draw % | Avg Away Win % |
|---|---|---|---|---|
| Greek Super League | Greece | 53.8% | 23.1% | 23.1% |
| Turkish Süper Lig | Turkey | 51.2% | 24.6% | 24.2% |
| Scottish Premiership | Scotland | 49.4% | 25.0% | 25.6% |
| Serie A | Italy | 46.9% | 26.7% | 26.4% |
| La Liga | Spain | 46.3% | 25.8% | 27.9% |
| Ligue 1 | France | 46.1% | 25.3% | 28.6% |
| Bundesliga | Germany | 45.6% | 24.9% | 29.5% |
| Premier League | England | 44.7% | 25.6% | 29.7% |
| Eredivisie | Netherlands | 47.8% | 23.9% | 28.3% |
| Primeira Liga | Portugal | 47.5% | 24.7% | 27.8% |
| Championship (ENG) | England | 43.9% | 27.1% | 29.0% |
| MLS | USA/Canada | 42.3% | 22.8% | 34.9% |
The spread is striking. Greek Super League home sides win at a rate 11.5 percentage points higher than MLS home sides. The English Championship, often assumed to be a grind for away teams, actually produces the joint-lowest home win rate among European leagues surveyed at 43.9%. Meanwhile, MLS stands as a global outlier — its away win rate of 34.9% is the highest in the dataset, suggesting structural factors like long-haul travel and artificial pitches partially neutralise home field football in North America.
Why Does Home Advantage Vary So Much Between Leagues?
The numbers above raise an obvious question: why does home advantage matter so differently depending on which competition you are studying? Several factors drive the divergence.
Crowd intensity and proximity. Leagues like the Greek Super League and Turkish Süper Lig are characterised by compact, steep stadiums where supporter noise is amplified and physically close to the pitch. Research published in the Journal of Sports Sciences found that referee decisions on fouls, cards, and penalty awards showed a measurable crowd-influence bias of up to 15% more decisions favouring the home team in louder environments versus silent ones.
Travel burden. In MLS, road trips routinely involve flights of 3,000 to 4,000 kilometres. A Seattle Sounders side visiting Atlanta has crossed multiple time zones before kick-off. European top-flight clubs rarely face comparable travel stress, yet even within Europe, the Scottish Premiership's high home win rate of 49.4% partly reflects the challenge of away trips to exposed, weather-affected grounds in winter months.
Quality stratification. Leagues dominated by one or two elite clubs — think Portugal's Primeira Liga with Benfica, Porto, and Sporting — can distort home advantage statistics. When those giants play at home, they win at rates exceeding 75%. Strip out the top three Portuguese clubs and the league's home win rate drops by approximately 4 percentage points.
Pitch and climate conditions. Playing on a surface you train on daily, in a climate your squad is acclimatised to, produces a measurable performance benefit. In Serie A, analysis of xG (expected goals) data shows home teams generate on average 0.18 more xG per match than identical teams in the same fixture played away — a modest but consistent edge across a full 38-game season.
Does Home Advantage Matter for Match Prediction?
This is the practical question. The honest answer is: yes, but the size of the adjustment depends entirely on which league you are modelling.
In the Premier League, where the home win rate of 44.7% is only marginally above the neutral-ground baseline of approximately 39–40% for evenly matched teams, home advantage adds perhaps 4 to 5 percentage points to a side's win probability. In the Greek Super League, that same adjustment could be 8 to 12 percentage points depending on the match context.
Where home advantage statistics in football leagues become truly valuable is in identifying market inefficiencies. If bookmakers apply a uniform home advantage adjustment globally rather than league-specific calibrations, they will systematically underprice home teams in high-advantage leagues like the Greek Super League and Turkish Süper Lig, and overprice them in low-advantage environments like MLS and the Championship.
At Betiball, our match prediction models apply league-specific home advantage coefficients updated each season. For the 2023/24 season, our models weight home advantage most heavily in the Turkish Süper Lig (+9.4 percentage point adjustment) and least heavily in MLS (+2.1 percentage point adjustment). These are not static inputs — crowd capacity utilisation, managerial tenure at a club, and even kick-off times all modify the base coefficient in our live models.
How to Use This Data in Your Own Analysis
Knowing that home field football has a stronger impact in certain leagues is only useful if you translate it into a consistent analytical process. Here is the framework we recommend based on the data above.
Step 1: Establish your league's baseline. Use the table above as a starting point. If you are analysing a Greek Super League match, your prior expectation before any team-specific data is a 53.8% home win probability. In the Premier League, your prior is 44.7%. That is a meaningful difference before you have looked at a single xG figure.
Step 2: Adjust for team-level home/away splits. Some clubs dramatically outperform or underperform the league home win average. Across five seasons of Bundesliga data, Bayern Munich's home win rate was 81.6% while Mainz's was 41.2% — nearly identical to the league average. Treating them uniformly because they play in the same competition is an analytical error.
Step 3: Factor in match context. Research consistently shows that home advantage shrinks in must-win European knockout ties (where both teams have elevated motivation) and expands in mid-table routine league fixtures. A study of 15,000 European league matches found home win rates in mid-table six-pointer fixtures ran 3.2 percentage points higher than in top-of-table matches involving two title contenders.
Step 4: Track crowd capacity utilisation. A home ground at 97% capacity versus one at 62% capacity produces meaningfully different crowd pressure on referees and visiting players. We track attendance as a percentage of ground capacity on Betiball's team pages — it is a small but statistically significant variable in our models.
Betiball does not accept bets. All examples are for educational purposes only.
Conclusion: The League Matters as Much as the Team
Home advantage is not a monolithic force that applies equally across every football competition. The data is unambiguous: a home side in the Greek Super League carries a structurally different probability of winning than a home side in MLS or the English Championship, even before a single tactical variable is considered. The average difference between the highest and lowest home win rate leagues in our dataset is 11.5 percentage points — that is not noise, it is signal.
Serious analysts and informed bettors who incorporate league-specific home advantage statistics into their football models will build a more accurate baseline than those applying a one-size-fits-all adjustment. Use the table above, combine it with team-level home/away splits, and let the data guide your priors before any other variable enters the equation.
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