What Football Statistics Can Tell You About a Match (And What They Cannot)

Statistics are the sports aficionado’s best friend. Bettors, coaches, tacticians, pundits, all use the numbers to get a hang of the game without the baggage of subjectivity. As a bettor, it helps if you understand what these numbers mean and how to use them. 

The same statistics, however, can be the bettors’ laziest crutch if the bettor overstates the importance of the numbers. If you’re interested in how to read them and where to apply them — or how not to apply them — then you might want to keep reading. 

 

WHAT STATISTICS CAN AND CANNOT TELL YOU

  1. MATCH CONTROL

There is an entire industry formed around providing in-game and post game numbers. And beyond scoreline,  game possession numbers are arguably the next relevant set of stats sports enthusiasts consider. But possession stats are a blunt weapon. At best, they only tell which teams are likely to hold on to the ball more and control the tempo of play. How well does a team pass in the attacking third, where does the field tilt towards, and how many touches does it have in the box? 

But, at the end of the day, that’s where it ends. Possession numbers are not alone to determine who would actually win a game. Other factors like finishing strength, expected goals and tactical style have to be put into consideration

Consider this example, Leicester City won the 2015-2016 English Premier League with a rough average of only 43% possession. The team managed to win the league through counter attacks. Chelsea Football club, under Tuchel, on the other hand, had a lot of goalless draws despite an average of 78% possession. Possession is not absolute. Game state, match flow, injuries can dictate how a team controls the game and how it does not. 

 

  1. XG/SCORING POTENTIAL

Expected goals are necessary when your betting metrics are goals. But they don’t guarantee goal numbers at all. In fact — and unlike the untrained eyes may be led to believe — XG  measures quality of chances instead of number of shots. 

Smarter bettors would compare the expected goals of a team with the number of goals that team scores to determine the team’s finishing quality. This stat is useful when considering over/under goals and both teams to score markets.

For instance, If a team averages 1.9 xG per match but scores only 1.0 goal, it may simply be unlucky or wasteful — a bad striker or no striker at all — in front of goal. This could make it a team to watch in subsequent fixtures. The same applies to defence. A team conceding only 0.8 expected goals but allowing 1.6 actual goals may be suffering from poor goalkeeping or bad luck.

For betting, the smarter thing is to compare these statistics with the available odds to see whether a team is being undervalued.

  1. RECENT FORM AND CONSISTENCY

How well a team has played — especially result wise — in its last five or ten matches can help bettors tell how the team is currently performing. But smart bettors then have to look beyond the regular. It is not enough to use wins, draws or loses alone.

This should be considered alongside the quality of opponents, the number of goals scored too and the number conceded, the stadium (for home advantage considerations) and the consistency of the players. 

WHAT STATISTICS CANNOT TELL YOU

  1. They Cannot Guarantee Match Results

One of football’s most exhilarating traits is that it’s not predictable. All of the statistics above can  favour one team and that team would still lose. Little or major things like an early red card, defensive errors or even penalties can change the tide and the stats. In some other examples like the Intermillan Barcelona game in the 2024/2025 champions league., one outstanding goalkeeping performance — case in point, Ian Sommer — can change a match.

  1. They Cannot Capture Every Tactical Detail

Numbers do not always explain why a team performs in a particular way. Some teams deliberately defend deep, refuse to go after possession and wait for counter-attacking opportunities. Those teams may have low stats .

  1. They Cannot Fully Account for Team News

Injuries, suspensions, rotation, player fatigue, and changes in the starting lineup can affect a prediction. Historical statistics are not so reliable when important players are unavailable or a team approaches a match with different priorities.

  1. They Cannot Eliminate Betting Risk

Strong statistics do not mean a bet offers good value. Odds are very important. Bettors must compare their estimated probability of an outcome with the probability implied by the available odds. Even a likely outcome can be a poor bet when the price is too low.