J1 League Correct Score Stats: The Most Common Scores in Japan
Japan's top flight looks open, yet its scorelines cluster tightly. Here are the most common J1 correct scores, their fair odds and how steady they have been season to season.
Japan's top flight has a reputation for open, technical football, so I wanted to see whether the final scores back that up. Across 4,089 J1 League matches from 2012 to 2024, the answer is more measured than the reputation suggests. Results cluster around a handful of low outcomes, and one of them stands clear of the rest.
1-1 is the most common J1 score at 11.4%, a fair price of 8.76, with 1-0 at 10.5% and 0-1 at 9.9% close behind. What follows is the reference I check before building my exact score predictions page for Japan. It covers which scores dominate, where the home edge actually shows up, and how stable the low-score results have been from season to season.
Chapter 1Ten scorelines account for 75.8% of J1 matches
The table lists the ten most frequent final scores with their share, a 95% range and the fair price implied by frequency alone. Together they covered 75.8% of matches, leaving 24.2% for every other score combined, which works out at fair odds of 4.14. The top of the list is crowded. 1-1, 1-0 and 0-1 are separated by small margins, and 2-1 at 8.3% and 1-2 at 8.0% are barely apart.
| Score | Matches | Share | 95% range | Fair odds |
|---|---|---|---|---|
| 1-1 | 467 | 11.4% | 10.4%–12.4% | 8.76 |
| 1-0 | 429 | 10.5% | 9.6%–11.4% | 9.53 |
| 0-1 | 403 | 9.9% | 9.0%–10.8% | 10.15 |
| 2-1 | 340 | 8.3% | 7.5%–9.1% | 12.03 |
| 1-2 | 328 | 8.0% | 7.2%–8.8% | 12.47 |
| 0-0 | 308 | 7.5% | 6.7%–8.3% | 13.28 |
| 2-0 | 259 | 6.3% | 5.6%–7.0% | 15.79 |
| 0-2 | 222 | 5.4% | 4.7%–6.1% | 18.42 |
| 2-2 | 188 | 4.6% | 4.0%–5.2% | 21.75 |
| 3-1 | 157 | 3.8% | 3.2%–4.4% | 26.04 |
| Any other score | 988 | 24.2% | 4.14 |
The 95% ranges matter more than people think. 1-1 sits between 10.4% and 12.4%, and 1-0 between 9.6% and 11.4%, so the ranges overlap and I treat the gap as real but narrow. When a 1-1 price sits well below 8.76 for an ordinary fixture, the margin is doing most of the work.
Chapter 2J1 scores pile up in the low corner of the grid
The heatmap reads home goals down the side and away goals across the top. The darkest cells sit where neither side gets past one goal, and the colour fades quickly once either team climbs higher. The home team failed to score in 25.9% of matches and the away team in 29.7%. A blank from one side is part of the normal rhythm of this league.
View the data: j1 score grid: home goals by away goals
| Away 0 | Away 1 | Away 2 | Away 3 | Away 4+ | |
|---|---|---|---|---|---|
| Home 0 | 7.5% | 9.9% | 5.4% | 2.0% | 1.1% |
| Home 1 | 10.5% | 11.4% | 8.0% | 3.0% | 1.3% |
| Home 2 | 6.3% | 8.3% | 4.6% | 2.7% | 0.7% |
| Home 3 | 3.3% | 3.8% | 2.4% | 1.0% | 0.4% |
| Home 4+ | 2.1% | 2.0% | 1.3% | 0.5% | 0.3% |
The far edges are thin but not empty. One side scored four or more goals in 9.7% of matches, with the home side doing so in 6.2% and the away side in 3.8%. Wins by three or more made up 12.7% of games. Draws of any score came in 24.7%, which is why I rarely dismiss the draw cells when a match looks lopsided on paper.
Chapter 3Home advantage shows most clearly in the bigger winning margins
Each row pairs a home-win score with its mirror away win. At the narrow end the gap is modest. 1-0 landed in 429 matches against 403 for 0-1, and 2-1 against 1-2 is close to level at 8.3% and 8.0%. The separation opens up as the margin grows, with 3-0 at 3.3% against 2.0% for 0-3, or 133 games against 83.
View the data: home-win scores vs the same away-win score
| Home win score | Mirror away win | |
|---|---|---|
| 1-0 vs 0-1 (429 vs 403 matches) | 10.5% | 9.9% |
| 2-0 vs 0-2 (259 vs 222 matches) | 6.3% | 5.4% |
| 2-1 vs 1-2 (340 vs 328 matches) | 8.3% | 8.0% |
| 3-0 vs 0-3 (133 vs 83 matches) | 3.3% | 2.0% |
| 3-1 vs 1-3 (157 vs 123 matches) | 3.8% | 3.0% |
| 3-2 vs 2-3 (99 vs 111 matches) | 2.4% | 2.7% |
The one row that flips is 3-2 against 2-3, at 2.4% and 2.7%. I read that as a hint that J1 away sides who get dragged into a shootout are perfectly capable of winning it. So I do not lean on home advantage in high-scoring scripts the way I would for a comfortable home win.
Chapter 4Low scores hold steady, though single seasons swing noticeably
The line chart tracks the main low-score groups by season. The share of 1-0 or 0-1 results ran from 16.0% in 2013 to 25.6% in 2016, and stood at 20.6% in 2012 against 18.1% in 2024. 1-1 moved between 9.1% and 13.9%. 0-0 ranged from 5.2% to 11.6%, with the peak coming in 2022.
View the data: 1-0/0-1, 1-1 and 0-0 by j1 season
| 1-0 or 0-1 | 1-1 | 0-0 | |
|---|---|---|---|
| 2012 | 20.6% | 10.8% | 7.8% |
| 2013 | 16.0% | 12.7% | 5.2% |
| 2014 | 20.6% | 10.1% | 8.2% |
| 2015 | 20.4% | 12.0% | 7.4% |
| 2016 | 25.6% | 9.1% | 6.1% |
| 2017 | 22.5% | 11.8% | 5.9% |
| 2018 | 21.0% | 9.1% | 8.7% |
| 2019 | 20.6% | 13.9% | 5.5% |
| 2020 | 19.0% | 10.5% | 6.5% |
| 2021 | 22.4% | 11.8% | 8.9% |
| 2022 | 16.8% | 13.2% | 11.6% |
| 2023 | 20.6% | 11.4% | 7.8% |
| 2024 | 18.1% | 12.0% | 7.7% |
The caveat I keep in mind is that these are league-wide frequencies. A specific fixture's fair price depends heavily on the teams involved, the latest season is incomplete in the records, and some seasons include play-off or championship-round games. I use the season lines to judge whether a market is pricing last year's quirk as if it were permanent.
Before you bet in this league
- Start from 1-1At 11.4% and fair odds of 8.76, 1-1 is the J1 baseline. Compare any 1-1 price with that figure before making team-specific adjustments.
- Respect narrow away winsMirror scores sit close together at the low end, with 0-1 at 9.9% against 10.5% for 1-0. Do not treat a narrow away win as a long shot simply because the visitors are on the road.
- Home edge needs margin3-0 came in 3.3% of matches against 2.0% for 0-3, so the home edge is clearest in comfortable wins. In 3-2 versus 2-3 scripts it disappears, with 2-3 slightly ahead at 2.7%.
Questions bettors ask
What is the most common score in the J1 League?
1-1 is the most common score, at 11.4% of 4,089 matches between 2012 and 2024. 1-0 follows at 10.5% and 0-1 at 9.9%.
What are the fair odds for 0-0 in the J1 League?
A goalless draw finished 7.5% of matches (308 games), which gives fair odds of 13.28 before any bookmaker margin. By season it ranged from 5.2% to 11.6%.
How often does a J1 match end outside the ten most common scores?
Every score outside the top ten came in 24.2% of the time, a fair price of 4.14. The ten most common scores covered the remaining 75.8%.
Ethan Halloway here — Correct Score is the market I keep coming back to, mostly because I find myself fascinated by how a 1-1 happens for very different reasons in different leagues.
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