Guessing the winner is not just about luck or picking the strongest team. Many people see it by their random predictions or choose their favorite teams, but not see the other important data that should be considered when analyzing the winner. We live in a logical world and instincts are not the only way to guess  ‘who is the best’. 

In soccer (football) there are a lot of aspects to consider such as score, players, who will play in tonight's matches, history, head-to-head, etc - and you also have to calculate them with accuracy. Counting their last score with math is the best way for readers who love to explore chance luck in football betting platforms like W88 and that is why understanding how to interpret match data is important.

1. Start With the Right Statistics

After gathering data, the next step is transforming numbers into actionable insights for strategy. Here are some practical steps:

a. Use Quantitative Statistics

"Expected Goals" (xG) can be simply defined as the number of goals a team or player is expected to score based on the chances created. While the term may not yet be widely familiar to football fans in the country, xG data is highly useful for evaluating the effectiveness of an attack. xG measures the quality of a scoring opportunity by calculating the probability that a specific shot will result in a goal.

The xG value is influenced by several variables, including the shot's location, distance, and angle relative to the goal; the type of assist received; the body part used to take the shot; and the goalkeeper's positioning at the moment of the shot. The nature of the attack—such as open play, free-kicks, or corner kicks—also plays a significant role.

xG values ​​are measured on a scale from zero to one. A higher xG value indicates a greater probability of a chance resulting in a goal. However, there are specific conventions, such as penalties, which are assigned a constant value of 0.79.

Let us analyze a match from the 2025/2026 Premier League season—specifically the game on May 24, 2026, between Crystal Palace and Arsenal, which secured a victory for the Gunners. Arsenal scored two goals and Crystal Palace scored one; the statistics were as follows:

Total Match xG

Crystal Palace 1.10 – 2.56 Arsenal

Total Shots: Crystal Palace took 6 shots (3 on target), while Arsenal took 16 shots (6 on target).

Statistically, Arsenal held the advantage in possession with 59% compared to Crystal Palace's 41%.

Goal Chronology & Impact on xG

Gabriel Jesus (42') — (0-1) Assist: Gabriel Martinelli | xG Value: ~0.65 (Big Chance)

Analysis: A precise cross from Martinelli was finished from close range by Gabriel Jesus just before halftime.

This was the highest-probability chance of the first half. Noni Madueke (48') — (0-2)

Assist: Kai Havertz  xG Value: ~0.45

Analysis: The introduction of Kai Havertz at the start of the second half, replacing Nørgaard, had an immediate impact. Havertz provided a header/pass that created space, which Madueke finished with a volley inside the penalty area.

Jean-Philippe Mateta (89') — (1-2)

Assist: Yéremy Pino  xG Value: ~0.35

Analysis: Coming off the bench in the 77th minute, Mateta scored with a well-placed header in the dying minutes to narrow the deficit.

You can apply this xG data to the last five matches played by the competing teams. This analysis serves as a useful tool for predicting which team is most likely to score a goal.

b. Possession and passing

Knowledge about possession and passing from each team can provide insight into how the team controls and builds their attacks. Those are available on many websites, but it doesn’t mean higher possession percentages have a high risk to win. They might dominate possession without creating meaningful chances, while other teams can play defensively and rely on quick counterattacks. Passing accuracy and successful passes are numbers to indicate how effectively a team circulates the ball - but a good team is considered by their shot quality, chances created, and attacking efficiency.

2. Look for Performance Trends

Compare team performance across recent matches (at least from the last 5 matches). Are there specific patterns—such as a team frequently conceding late goals or being highly effective in wing-based attacks? Such trends provide a picture of strengths and weaknesses. Look at a team's recent results—whether they frequently win, lose, or draw. Teams in good form often possess higher confidence levels.

Home and away statistics

Some teams are formidable at home but struggle when playing away. Factors such as the stadium environment and supporter backing often influence a team's performance.

 Head-to-head record

"Head-to-head" refers to the history of encounters between two teams. This statistic is vital because certain teams historically hold the upper hand when facing specific opponents.

Goal productivity

Pay attention to the number of goals scored and conceded in recent matches. A productive team usually boasts a sharper attack.

3. Consider Squad and Match Context

Many aspects that can significantly affect a team's performance such as injuries, rotation, and tactical changes. Key players who always have higher statistics and output to the team could be weakened if the coach manager does a squad rotation. They can’t defend or do many attacks as they used to because they are playing with other players and it doesn't seem like a good partner to do it. And on the other hand, tactical changes also new formation and manager also giving impact to the latest statistics.