Both Teams to Score (BTTS) Football Statistics

Both Teams to Score (BTTS) is one of football's most popular betting markets, and understanding the underlying statistics is essential for making informed decisions. ConyBet Stats provides comprehensive BTTS data across all major leagues, helping bettors identify genuine patterns rather than relying on gut feeling.

What Is the BTTS Market?

Both Teams to Score is a betting market where you predict whether both teams will score at least one goal during the match. If both teams score, the BTTS Yes bet wins regardless of the final scoreline. If either team fails to score, BTTS No wins. The final result — which team wins or whether it ends in a draw — is irrelevant to the BTTS outcome.

This simplicity makes BTTS popular with casual bettors, but the market also rewards careful statistical analysis. Teams with consistently leaky defences combined with reasonable attacking output generate high BTTS Yes rates, while clubs with strong defensive records contribute to BTTS No outcomes.

BTTS Rates by League

Different leagues produce vastly different BTTS rates, reflecting contrasting tactical philosophies and quality levels. The English Premier League and Bundesliga typically produce higher BTTS Yes rates (often above 50%) due to their attacking styles and relatively high average goal counts.

Serie A and other tactically conservative leagues show lower BTTS Yes rates. Understanding these league-level baselines prevents bettors from applying cross-league assumptions incorrectly. Our Bundesliga statistics and Serie A statistics sections include BTTS data for each league.

Team BTTS Statistics

Individual team BTTS data reveals which clubs are consistent sources of both goals scored and goals conceded. A team with strong attacking output but a leaky defence will appear in BTTS Yes across multiple seasons, making them reliable selections in certain matchups.

Conversely, teams with strong defensive records but limited attacking threat generate high BTTS No rates, particularly when facing similar defensive sides. Home versus away BTTS splits can differ significantly — many teams are more attacking at home but tighten up defensively away.

Factors That Influence BTTS

Several factors affect the probability of both teams scoring beyond simple historical rates. Team news is crucial — the absence of a key striker or central defender can significantly shift a team's scoring and conceding patterns. Motivation also plays a role: teams with nothing to play for at the end of the season may show different defensive intensity than those fighting relegation or pushing for European places.

Head-to-head records between specific clubs can reveal persistent patterns that hold across multiple seasons, particularly in local derbies where emotional factors add to the tactical picture. Our football statistics section includes head-to-head BTTS data for major fixtures.

BTTS and Expected Goals

Combining BTTS analysis with expected goals (xG) data provides a more sophisticated assessment of match probabilities. A match featuring two teams with moderate xG profiles (1.0–1.5 each) has a reasonable BTTS probability based purely on chance distribution. Statistical modelling can estimate BTTS probabilities from xG inputs, providing a baseline against which to compare bookmaker odds.

When the implied probability from bookmaker odds differs significantly from xG-based models, a potential value opportunity may exist. Find competitive BTTS markets at AlyBet across all major football leagues.

Historical BTTS Trends

Long-term BTTS data reveals seasonal patterns. Early season matches, before teams have settled into defensive shape, tend to produce more goals. Winter schedules with congested fixtures can increase defensive errors. Understanding these macro patterns adds another layer of context to match-level BTTS analysis.

For broader betting context, read our sports betting guide and proven betting strategies to build a complete analytical framework.