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What stats help predict both teams to score?

The most useful stats for both teams to score are how often each side scores at least once, how often each keeps a clean sheet, how often each fails to score, and their expected goals (xG). Use home and away splits over at least 10 matches. No stat makes BTTS certain; stats only help you estimate a probability.

What does a BTTS bet need to happen?

Both teams to score (BTTS) is a popular football (soccer in the US) market. BTTS Yes wins if each team scores at least once (1-1, 2-1, 3-2). BTTS No wins if at least one team fails to score (0-0, 1-0, 4-0).

So you are really asking two questions: will the home team score, and will the away team score? The stats that help most answer those two questions.

Which stats matter most for BTTS?

StatWhat it tells youWhat to watch out for
Scored in X of last 10How reliably a team finds the netA team can score in most games yet only ever score once
Clean sheetsHow often the defence keeps the opponent outA run of clean sheets against weak attacks may not hold up
Failed to scoreHow often the attack draws a blankThe flip side of “scored in X”
xG for and againstThe quality of chances created and allowedDifferent data providers use different models
Home and away splitsHow the team plays in this venueSplits over 5 games are very noisy

Start with the first three simple counts. Then use expected goals to test whether the counts reflect how the team is really playing or just a run of luck.

How do you combine the stats into an estimate?

Here is a worked example with two hypothetical teams. Team A is at home and Team B is away.

Stat (last 10 matches)Team A at homeTeam B away
Scored at least once8 of 10 (80%)6 of 10 (60%)
Kept a clean sheet3 of 10 (30%)2 of 10 (20%)
Failed to score2 of 10 (20%)4 of 10 (40%)

A rough first estimate multiplies the two scoring rates: 0.80 × 0.60 = 0.48, or 48%. This treats the two events as independent, which is a simplification, but it is a starting point.

Now check the defences. Team A kept 3 clean sheets in 10 home games, so opponents scored in 70% of them, while Team B scores in 60% of away games. Splitting the difference at 65% gives 0.80 × 0.65 = 0.52, or 52%.

Say a bookmaker offers BTTS Yes at 1.90. That implies 1 / 1.90 = 52.6%. On your estimate of 48% to 52%, the price is close to fair or a little short:

  • 0.48 × 1.90 = 0.912
  • 0.52 × 1.90 = 0.988

Both are below 1, so on these numbers the bet does not offer value. That is a useful result: most of the time, good stats work tells you to skip a bet.

What else can change a BTTS bet?

Many teams score more at home and concede more away, so when you read team goal stats, check whether they cover home or away games only. Beyond the numbers:

  • Team news: a missing first-choice striker or goalkeeper can matter more than any season stat.
  • Match context: a team that only needs a draw may sit deep.
  • Style match-ups: two attacking sides tend to create chances at both ends; two cautious sides may not.
  • League level: compare teams with their own league’s scoring levels.

Thinking of adding Over 2.5 goals? Read what a BTTS and Over 2.5 bet is first, because the two outcomes are linked.

Can stats make a BTTS bet certain?

No. Stats describe what has happened, not what will happen. A team that scored in 9 of its last 10 games can still draw a blank, and a late own goal can flip a BTTS bet in seconds. Stats give you a better estimate of the probability, which you then compare with the price.

Where PRO Betting Tips fits

PRO Betting Tips, a football tips app for iOS and Android made by MICOM TECH, focuses on goals markets such as both teams to score and Over/Under goals. Its daily Pro Picks show the stats behind each pick, and the results section keeps past picks listed whether they won or lost, so you can judge them for yourself. The learning centre covers bankroll management, value betting and staking.

18+. Betting involves risk; no prediction is guaranteed. If gambling stops being fun, visit BeGambleAware or call 1-800-GAMBLER in the US.