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Correct Score Predictions

Wednesday, 17 June 2026

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Correct Score is the highest-odds standard football market: you predict the exact final scoreline. A 1โ€“0 home win prediction loses if the home team wins 2โ€“0. There are typically 18โ€“20 common scorelines offered, with additional catch-alls like "5+" for each team. Despite the apparent difficulty, correct score is tractable with a Poisson goal model. Once you know each team's expected goals (ฮป_home and ฮป_away), you can calculate the probability of every specific scoreline: P(home_goals = h, away_goals = a) = Poisson(h, ฮป_home) ร— Poisson(a, ฮป_away). The most likely single scoreline in any match is almost always 1โ€“0 to the predicted winner, typically carrying 12โ€“18% probability even in one-sided matches. The value in correct score isn't backing the most probable scoreline โ€” bookmakers price those efficiently. It's in identifying scorelines where the model probability exceeds the bookmaker's implied probability by a meaningful margin. This requires a well-calibrated model and rigorous odds comparison. Sportdico plans to surface the top three most probable scorelines on each match page, alongside their model probability vs implied odds.

Today's CS predictions

Coming soon

Our prediction pipeline doesn't yet publish Correct Score tips. The educational content on this page is accurate and up to date. Tips will appear here automatically when this market is added to the model.

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Correct Score Betting Explained: How It Works and When to Use It

In-depth guide: how Correct Score works, how odds are priced, and when to use it in your betting strategy.

Read: Correct Score Betting Explained: How It Works and When to Use It โ†’

Frequently asked questions about Correct Score

What is correct score betting?

Correct score betting requires predicting the exact final scoreline of a football match. Every goal matters โ€” a 1โ€“0 prediction loses if the match ends 2โ€“0, even if the same team won.

What is the most likely scoreline in football?

Historically, 1โ€“0 to the home team is the most common individual scoreline in top leagues, occurring in approximately 12โ€“15% of matches. 1โ€“1 is typically the second most frequent.

How does Poisson modelling help with correct score?

Poisson modelling treats each team's goals as an independent random variable. Given each team's expected goals (ฮป), P(score = hโ€“a) = Poisson(h, ฮป_home) ร— Poisson(a, ฮป_away). This lets you rank every scoreline by probability.

Should I use system bets for correct score?

Many bettors use 'lines' (backing the same team to win by different margins) to spread correct score risk. A Home Win line covering 1โ€“0, 2โ€“0, 2โ€“1 and 3โ€“0 has a much higher combined probability than any single scoreline.

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