If you have ever sat staring at a fixture list wondering what score to predict, the answer might be simpler than you think. The Premier League has over 30 years of data, and certain scorelines come up again and again. Knowing which ones gives you a serious advantage.

This is not about memorising a spreadsheet. It is about understanding the patterns that most predictors ignore and using them as a sensible baseline when you are unsure.

The top 10 most common Premier League scorelines

Across every Premier League season since 1992, the distribution of results is remarkably consistent. Here are the scorelines that appear most often:

1-0 - the single most common result, accounting for roughly 1 in 10 matches
2-1 - the most common scoreline where both teams score
1-1 - the most frequent draw
2-0 - a comfortable home win without much drama
0-0 - more common than most people expect
0-1 - the mirror of 1-0, an away side nicking it
3-1 - the most common scoreline with four total goals
2-2 - a fairly rare draw, but it happens more than 3-0
3-0 - less common than you might think
1-2 - away team edges it in a tight game

The pattern is clear: low-scoring games dominate. Around 60% of Premier League matches finish with three or fewer total goals. If you are regularly predicting 3-2 or 4-1 scorelines, you are swimming against the tide.

What this means for your predictions

Lean towards lower totals

The most common mistake in prediction games is over-predicting goals. It is more exciting to predict a 3-2 thriller, but a 1-0 or 1-1 is statistically far more likely. If you are using ScoreBadger and aiming for exact score points, sticking to low-scoring predictions over a full season is the smarter play.

1-0 is your best friend

When you are confident a home side will win but cannot decide on the score, 1-0 is almost always a good pick. It is the single most common result in Premier League history. It accounts for more matches than 2-0 and 3-0 combined.

This does not mean you should predict 1-0 for every home win. But when you are torn between 1-0 and 2-0, the data slightly favours the tighter scoreline.

Do not sleep on draws

Draws make up about 25% of all Premier League matches. That is one in four. Yet most predictors under-predict them because draws feel boring and non-committal.

If you are predicting a full gameweek of 10 matches and you have not included at least two draws, you are probably leaving points on the table. The 1-1 draw alone accounts for roughly 5-6% of all results.

Away wins are tight

When the away team wins, it is almost always by a single goal. The 0-1 result is far more common than 0-2 or 0-3. So if you fancy the away side, keep the score tight. This connects directly with home advantage patterns - even when the home team loses, they tend to keep it close.

Building a default strategy from the data

Here is a practical approach you can use when you are unsure about a match:

Strong home favourite: predict 2-1 or 2-0
Evenly matched at home: predict 1-1
Slight home edge: predict 1-0
Away favourite: predict 0-1 or 1-2
Both teams in good form: predict 1-1 or 2-1
Both teams struggling: predict 0-0 or 1-0

This is a starting point, not a rigid system. The idea is to have a sensible default that you adjust based on what you know about each match. If you have done your homework on form tables, you can tweak these defaults with more confidence.

When to ignore the common scores

Data is a guide, not a rule. There are situations where predicting a less common scoreline makes sense:

A team missing key defenders through injury or suspension
A dead rubber match at the end of the season with nothing to play for
A team that has scored 3+ in their last four home matches
Derby matches where form often goes out the window

The trick is recognising when the circumstances are unusual enough to override the baseline. Most of the time, they are not. Most of the time, 1-0 and 2-1 do the job.

Score distribution by match type

Not all fixtures are equal. The data shifts depending on the type of match:

Top six vs bottom six: these matches skew towards 2-0 and 3-1 for the stronger side. The big teams tend to dominate at home against weaker opponents, and the margins are wider than average.

Mid-table vs mid-table: the tightest games. 1-0, 0-0, and 1-1 dominate. Neither side has enough quality to blow the other away.

Bottom six vs bottom six: surprisingly low-scoring. Both teams are often defensive and afraid of losing, which leads to more 0-0 and 1-0 results than you might expect.

Top six vs top six: unpredictable. These matches produce more goals than average because both teams attack. 2-1, 2-2, and even 3-2 are more realistic here.

Using this in practice

You do not need to memorise exact percentages. The key takeaways are simple:

Predict low scores more often than high scores
Include draws in every gameweek
Default to 1-0 for close home wins and 0-1 for away wins
Only go above 3 total goals when you have a specific reason
Adjust for the match type - big six clashes play differently to relegation battles

Over a full season, this approach will beat someone who predicts based on gut feeling alone. The data is not glamorous, but it is consistent. And in prediction games, consistency wins. Start putting this into practice on the Premier League prediction game.

Keep reading

Learn the difference between exact score and correct result points and when each one matters more for your overall ranking.

New to predictions? Our first gameweek walkthrough takes you through the entire process step by step.

Want to dig deeper into the numbers? Reading form tables will help you spot trends before everyone else does.

The Most Common Premier League Scores (and How to Use Them)