Correct Score Betting: Odds, Most Common Scores and Fair Price

Correct score betting pays on the exact 90-minute result. 1-1 was the most common score in Europe's top 5 leagues in 2024/25 (12.2% of 1,752 matches). How to get a fair correct score price from Pinnacle's 1X2 and Over/Under.

Correct score betting is a bet on the exact final score of a football match, such as 2-1 or 1-1. It pays only if that exact score is the result after 90 minutes plus stoppage time. Because a match has dozens of possible scores, prices are long and every listed score carries part of the book's margin.

In the 2024/25 season of Europe's top five leagues, 1-1 was the most common score: 214 of 1,752 matches, or 12.2% (our count from Football-Data.co.uk results). The ten most common scores covered 72.5% of matches. The rest were spread over dozens of other results.

Definition. Correct score: a football market with one selection per scoreline (0-0, 1-0, 0-1, 1-1 and so on, often with an "any other score" line). Exactly one selection wins. It is the most detailed match-result market: the 1X2, double chance, both teams to score and over/under can all be rebuilt by adding correct score probabilities.

Key takeaways

  • A correct score bet wins only on the exact 90-minute score; extra time and penalties do not count in the usual market.
  • 2024/25, top 5 European leagues: 1-1 12.2%, 1-0 9.3%, 2-1 8.4%, 1-2 7.2%, 0-1 7.1% of 1,752 matches.
  • A Poisson model fitted to Pinnacle's closing 1X2 and Over/Under 2.5 predicted 1-1 in 10.7% of matches; it happened in 12.3%. Plain Poisson underestimates draws, 1-1 and 2-2 most of all.
  • Fair correct score odds: fit expected goals to a sharp 1X2 and total, read the score matrix, then correct the draw scores to the market's draw probability.
  • To compare a book's correct score price, check it against the fair price, not against the base rate. A base rate is not a price.

How does correct score settle?

On the score at the end of normal time. Pinnacle's betting rules (read 8 November 2026) say football match markets are "based on the result at the end of a scheduled 90 minutes of play unless otherwise stated", including stoppage time and excluding extra time, penalties and golden goals.

Most books list scores up to 3 or 4 goals per side and then an "any other score" or "any other home win / draw / away win" line. The wording differs by book; read the market name before you bet.

What are the most common correct scores in football?

We counted every 2024/25 result in the Premier League, La Liga, Bundesliga, Serie A and Ligue 1 (1,752 matches, Football-Data.co.uk, downloaded 8 November 2026).

Score (home-away)MatchesShareBase-rate odds (1 ÷ share)
1-121412.2%8.19
1-01639.3%10.75
2-11478.4%11.92
1-21277.2%13.80
0-11247.1%14.13
2-01116.3%15.78
2-21066.1%16.53
0-21035.9%17.01
0-01015.8%17.35
3-1744.2%23.68

Our count, 8 November 2026. The five leagues averaged 2.83 goals per game and 24.9% draws (437 of 1,752). In the Premier League alone 1-1 was also first (45 of 380, 11.8%), and 2-2 came third (31, 8.2%).

The base-rate column is a league-wide average, not the fair price of any match. A 1-1 in a match with a high expected total is less likely than 12.2%; in a match with a low expected total it can be more likely. The price for one match comes from that match's 1X2 and total.

How do you calculate fair correct score odds?

Start from prices that already contain the market's view of the match, strip their margin, and turn them into expected goals.

  1. Strip the margin from a sharp 1X2 and Over/Under 2.5 (the devig calculator does this).
  2. Fit two expected-goals numbers (λ home, λ away) so that a Poisson model reproduces the fair home-win probability, away-win probability and Over 2.5 probability.
  3. Build the score matrix: P(home scores i) × P(away scores j) for every i, j. The Poisson calculator prints it; the maths is on Poisson distribution in football betting.
  4. Correct the draws. Scale the draw scores so they add up to the fair draw probability, and scale home-win and away-win scores the same way. Step 4 matters because plain Poisson gives too few draws (next section).
  5. Fair odds = 1 ÷ probability for each score.

Worked example: Liverpool v Manchester City, 1 December 2024

Pinnacle's closing prices (Football-Data.co.uk): Liverpool 2.06, draw 3.76, City 3.60; Over 2.5 1.57, Under 2.5 2.53.

  • 1X2 margin: 1/2.06 + 1/3.76 + 1/3.60 − 1 = 2.92%. Fair (multiplicative): Liverpool 47.17%, draw 25.84%, City 26.99%.
  • Totals margin 3.22%. Fair Over 2.5: 61.71%.
  • Best-fit expected goals: Liverpool 1.82, City 1.35. That model gives the draw only 22.88%, against the market's fair 25.84%. Scaling factors: draws × 1.129, Liverpool wins × 0.971, City wins × 0.945.
ScorePlain PoissonDraw-correctedFair odds
1-110.32%11.65%8.58
2-19.39%9.12%10.96
1-07.64%7.43%13.47
2-26.34%7.16%13.97
2-06.96%6.76%14.80
1-26.97%6.58%15.19
3-15.70%5.53%18.07
0-15.67%5.36%18.66
0-04.20%4.74%21.08
Any score with 4+ goals for one side15.48%14.97%6.68

Our arithmetic, 8 November 2026. The match finished 2-0, a 14.80 fair price. That is one result; it says nothing about whether the 14.80 was right.

How to use the table: if a book offers 1-1 at a price longer than 8.58 for this match, it is above the fair price. If it offers 1-1 at, for example, 7.00 (an example price, not a quote), the implied probability is 14.3% against a fair 11.65%, so that price carries a large margin.

Does Poisson predict correct scores well?

For most scores, yes; for draws, no. We fitted the model above to Pinnacle's closing 1X2 and Over/Under 2.5 for every 2024/25 top-5 match that had both (1,734 matches) and added up the predicted probabilities.

ScoreActualPoisson predictedGap
1-112.3%10.7%+1.6 pts
2-26.1%4.7%+1.4 pts
0-05.8%6.6%−0.8 pts
1-09.4%9.5%−0.1 pts
2-18.4%8.0%+0.4 pts
2-06.3%7.5%−1.2 pts
3-03.2%4.3%−1.1 pts
All draws up to 3-324.9%23.0%+1.9 pts

Our backtest, 8 November 2026, one season only. Poisson treats the two teams' goals as independent, and real scores are not fully independent. Dixon and Coles (Applied Statistics, 1997) added a correction for the low scores for this reason. In our season the biggest misses were 1-1 and 2-2, which is why step 4 above corrects the draws to the 1X2 market. One season is a small sample for scores at 3-6%: treat the gaps as direction, not as exact numbers.

Why do correct score prices carry more margin?

Because the margin is spread over many selections. A 1X2 has three prices; a correct score list can have 20 or more, and each one can be shaded. Check any book yourself:

Correct score margin = sum of (1 ÷ odds) for every listed score, including "any other" lines, minus 1.

If the sum is far above the 1X2 overround on the same match, the correct score book is wider. Overround, vig and margin explains the calculation, and the devig methods apply the same way.

Long prices also mean high variance. At a fair 9.00 (11.1% to win), the chance of losing 20 bets in a row is (8/9)^20, about 9.5%, even though every price is fair. Bankroll management covers stake size.

Correct score vs other football markets

MarketWhat it needsSame match, Liverpool v City fair price
1X2: LiverpoolAny Liverpool win2.12
Double chance 1XLiverpool win or draw1.37
Over 2.53+ goals1.62
Correct score 2-1Exactly 2-110.96
Correct score 1-1Exactly 1-18.58

Fair prices from the same closing book, our arithmetic. Every row in the first three is a sum of correct score cells: Liverpool win = all scores where Liverpool scored more. That is why a correct score book has to agree with the 1X2 and the total. When it does not, one of them is mispriced or carries more margin.

How Pinnacle Terminal handles this

Pinnacle Terminal shows Pinnacle's football 1X2, Asian handicap and totals with a fair price on each line (Power by default), not correct score lists. Those three prices are the inputs for a correct score model: when the 1X2 or the total moves, the fair correct score prices move with it. Each pre-match move is graded 0–10 (Big move, Sharp drop of about 20% or more from the recent high, Limit-backed, Downtrend, Rebound, Standard). Live in-play drops are shown and filtered, without a grade. The terminal does not accept bets, does not give picks and is not affiliated with Pinnacle. Product: Pinnacle dropping odds. Plans: pricing.

FAQ

What is the most common correct score in football?

1-1. In the 2024/25 top five European leagues it was the result in 12.2% of matches (214 of 1,752), ahead of 1-0 (9.3%) and 2-1 (8.4%).

How are correct score odds calculated?

From expected goals for each team. Fit them to the 1X2 and the Over/Under, multiply the two teams' Poisson probabilities for each score, correct the draws to the market's draw price, and invert. Books then add their margin.

Does correct score include extra time?

No, not in the usual market. It settles on 90 minutes plus stoppage time. Some cup markets include extra time and say so in the name.

What does "any other score" mean?

It covers every score not listed separately. Which scores that includes depends on the book's list, so check it.

Is correct score betting a good bet?

Only when the price is longer than the fair price. Long odds do not add value; they add variance.

Sources

  • Football-Data.co.uk, 2024/25 results and closing odds for the Premier League (E0), La Liga (SP1), Bundesliga (D1), Serie A (I1) and Ligue 1 (F1), downloaded 8 November 2026: score counts, goals per game, draws, and Pinnacle closing 1X2 (PSCH/PSCD/PSCA) and Over/Under 2.5 (PC>2.5/PC<2.5), including Liverpool v Manchester City, 1 December 2024: 2.06 / 3.76 / 3.60, 1.57 / 2.53, final score 2-0.
  • Pinnacle, Betting rules (read 8 November 2026): football match markets settle on 90 minutes plus stoppage time.
  • Dixon, M. J. and Coles, S. G., "Modelling Association Football Scores and Inefficiencies in the Football Betting Market", Journal of the Royal Statistical Society Series C (Applied Statistics) 46(2), 1997: low-score correction to independent Poisson.
  • Margins, fair probabilities, fitted expected goals, score matrix, draw correction and the 1,734-match Poisson backtest: our arithmetic, 8 November 2026.

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