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Correct Score Predictions · top 3 scorelines

2026-10-04 · 2 fixtures

Live matches first, then by kick-off time.

Correct score predictions today cover 2 matches across Friendly International. The Poisson model analyses xG data for each fixture to calculate the probability of every possible scoreline — today's highest-confidence pick is 2-0 in Argentina vs Burkina Faso (undefined% probability).

FT
Argentina7
Burkina Faso0
Friendly International
2 – 015.4%3 – 012.8%1 – 012.3%
FT
United States3
Mexico0
Friendly International
1 – 110.6%2 – 19.9%1 – 09.6%

The highest-confidence correct score prediction today is 2-0 in Argentina vs Burkina Faso (Friendly International), with a undefined% probability according to the model. This means the Poisson distribution assigns a undefined% chance to this exact scoreline occurring — the strongest single-scoreline signal on today's slate. While no scoreline prediction is ever certain, this match stands out because the model's xG inputs converge clearly on one result.

Across today's 2 analysed matches, the most frequently predicted scoreline is 2-0, appearing as the top pick in 1 fixtures. This aligns with historical football data showing that 2-0 is among the most common final scores in the sport. The Poisson model naturally favours lower-scoring outcomes because football is a low-scoring game where results like 1-0, 1-1, 2-1, and 0-0 dominate the probability distribution for most matches.

Each prediction is generated from team-specific xG metrics — attack power, defensive strength, and overall goal expectation — sourced from SSTrader's pre-match data feed. All predictions are settled against real bookmaker results, and historical accuracy is tracked publicly on our accuracy page.

Frequently Asked Questions

A correct score prediction forecasts the exact final scoreline of a football match. Our model calculates the probability of every possible scoreline (0-0 through 5-5) using a Poisson distribution based on each team's expected goals (xG).

Correct score predictions are inherently low-probability — even the most likely scoreline rarely exceeds 12-15% chance. Our model correctly identifies the top-3 most likely scorelines in roughly 25-30% of matches.

Historically, 1-1 is the most common correct score in football, followed closely by 1-0, 2-1, and 0-0. The Poisson model reflects this because football is a low-scoring sport where scorelines with 1-3 total goals dominate.

Correct score odds are high because predicting the exact scoreline is extremely difficult. Even the most likely scoreline rarely exceeds 12-15% probability, so bookmakers offer odds of 6.00 or higher. The high odds reflect the low probability — each additional correct prediction compounds the difficulty.

Each predicted scoreline comes with a probability percentage. For example, if 1-1 shows 12%, it means the model calculates a 12% chance of that exact result. The top-3 most likely scorelines are shown, ranked from highest to lowest probability. Compare these to bookmaker odds to find value bets where the model probability exceeds the implied odds.

No single correct score prediction is reliable — even the best model cannot guarantee an exact scoreline. However, over a large sample of matches, our Poisson model correctly identifies the actual result within the top-3 predicted scorelines approximately 25-30% of the time. This is significantly better than random guessing, which would yield around 8-10% accuracy.

A Poisson distribution is a statistical method that models the probability of a given number of events (goals) occurring in a fixed period. In football, it calculates how likely each team is to score 0, 1, 2, 3 or more goals. By combining both teams' goal probabilities, the model generates a full table of possible scorelines and their likelihoods.

Today, the highest-probability correct score pick is 2-0 in Argentina vs Burkina Faso (Friendly International), with a 15.4% chance according to the model.

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