Both Teams to Score (BTTS): Strategy, Stats, and When to Use It
Both Teams to Score (BTTS) is one of the most popular football betting markets, especially in the UK. The appeal is obvious: you don't need to pick a winner. You just need both teams to score, regardless of the final result. A 1-1 draw is a win. So is a 3-2 loss.
This simplicity masks the complexity underneath. Successful BTTS betting requires understanding not just which teams score goals, but which teams concede them. This guide covers the statistics, strategies, and scenarios that make BTTS bets profitable.
What Is BTTS and Why Is It Popular?
The Market: You predict whether both teams will score at least one goal each during the match. That's it. BTTS Yes means both teams get on the scoresheet. BTTS No means at least one team fails to score.
Why UK bettors love it:
- No need to pick a winner, removing bias and overthinking.
- Matches where one team is much stronger can still be interesting if you back BTTS.
- It keeps you engaged throughout the match because you don't lose if your team concedes (as long as they also score).
- Odds are usually better than picking a specific scoreline (Correct Score).
- Very popular in accumulators.
In the Premier League, roughly 55-60% of matches see both teams score. This makes BTTS around 1.70-1.80 on average (slightly undervalued for the true frequency).
BTTS Yes vs BTTS No
BTTS Yes: Both teams score. Odds typically range from 1.50 (certain, when both teams are attacking) to 2.50+ (risky, when a strong team plays a weak defender).
BTTS No: At least one team fails to score. This includes 1-0 wins, 0-0 draws, and shutouts. Odds range from 1.40 (likely when a strong team plays a weak offence) to 3.00+ (uncertain).
The two bets are complementary. BTTS Yes and BTTS No odds should roughly inverse each other (allowing for bookmaker margin). If BTTS Yes is 1.75, BTTS No should be around 2.10.
Key Stats for BTTS Analysis
To predict BTTS accurately, you need four critical pieces of data:
1. Team Scoring Records
How often does each team score? Look at:
- Goals per game (home and away separately): A team scoring 2.0 goals per game at home but 0.8 away is very different.
- Season average: Average across all matches. Less volatile than single-match data.
- Recent form: Last five or ten matches. Trends matter. A team recently averaging 0.5 goals per game suggests poor form, even if their seasonal average is 1.5.
Example: If Team A scores 1.8 goals per game and Team B scores 1.6, you'd expect roughly 3.4 goals combined. Both scoring seems likely.
2. Team Defensive Records
This is where many bettors stumble. BTTS isn't just about attacking. It's about both teams being able to score despite the opposition's defence.
Key stats:
- Goals conceded per game (home and away separately): A team conceding 1.2 goals at home but 2.1 away faces different defensive challenges.
- Clean sheet percentage: How often does the team keep a clean sheet? High clean sheet rates signal a strong defence, making BTTS No more likely.
- Recent defensive form: Like attacking form, defensive trends matter. A team that's been leaking goals recently might allow more.
Example: Team B concedes 1.3 goals per game on average. But in their last five home matches, they've conceded 0.4 goals per game. Their home defence is in excellent form. BTTS is less likely.
3. Expected Goals (xG) For and Against
xG gives you a forward-looking view beyond historical results:
- xG For: The quality of chances a team creates. A team with 1.5 xG in a match created more dangerous chances than a team with 0.8 xG.
- xG Against: The quality of chances conceded. A team with 1.2 xG against their opponents' created chances is more exposed than a team with 0.6.
Combine both teams' xG:
- If combined xG is 2.5+: BTTS is more likely because both teams created meaningful chances.
- If combined xG is below 2.0: BTTS is less likely. Chances were scarce.
Additionally, if one team's xG is very high (1.8) and the other's is very low (0.4), BTTS is unlikely despite the high total. One team will likely dominate.
4. Head-to-Head and Fixture Context
Some matchups are naturally higher-scoring:
- Rivals or derbies: These matches are often open and attacking, increasing goal totals.
- Promotion/relegation battles: Desperation can make teams attack more recklessly, creating chances for both sides.
- High-scoring teams: If two attacking teams meet, BTTS odds are short (likely). If two defensive teams meet, BTTS is long (unlikely).
Compare the specific matchup stats rather than relying purely on season averages.
Which Leagues and Matchups Suit BTTS?
Higher BTTS frequency (backing Yes makes sense):
- Bundesliga: Open, entertaining football. Defensive vulnerabilities are common.
- Championship: Direct, end-to-end play. Both teams often get chances.
- Lower divisions: Less defensive organisation. More chaotic matches = more both-team goals.
- Cup matches: Less cautious play. Teams attack more openly.
Lower BTTS frequency (backing No makes sense):
- Serie A: Defensive, structured play. Clean sheets are common.
- Ligue 1: Tighter defensive organisation than Bundesliga or Championship.
- Champions League group stages: Top teams can lock down defence. Underdogs often can't score.
Within each league, individual matchups vary. Arsenal at home to a promoted side is different from Arsenal away to Liverpool. Use league trends as context, not as gospel.
BTTS Combined with Other Markets
BTTS pairs well with other markets, creating interesting accumulators:
BTTS + Match Result
BTTS Yes + Home Win: Both teams score and home team wins. This means home team wins but opponent also scores. Examples: 2-1, 3-2, 3-1.
BTTS Yes + Draw: Both teams score and it finishes level. Examples: 1-1, 2-2, 3-3.
BTTS Yes + Away Win: Both teams score and away team wins. Examples: 1-2, 2-3.
These combinations are popular because they're specific and offer longer odds than straight BTTS Yes.
BTTS + Over/Under
BTTS Yes + Over 2.5 Goals: Both teams score AND total goals exceed 2.5. This is more specific than either alone. If BTTS Yes is 1.70 and Over 2.5 is 1.90, combined odds are 3.23. But both conditions must be met, so you're taking on correlated risk.
BTTS Yes + Under 2.5 Goals: Technically impossible (if both teams score, the minimum is 2 goals, maximum for Under 2.5 is 2). Some bookmakers void this leg or refuse it. Avoid.
BTTS No + Under 2.5 Goals: At least one team fails to score AND total goals are 2 or fewer. This includes 0-0, 1-0, 0-1, 2-0, 0-2, 1-1, 2-1, 1-2. Very likely in defensive matchups.
BTTS + Asian Handicap
BTTS Yes + Home -0.5: Both teams score and home team wins. Same as BTTS Yes + Home Win above.
These combos give you finer control. You're expressing multiple convictions in a single bet.
Common BTTS Mistakes
1. Ignoring the defensive side Many bettors look at scoring records and assume BTTS is likely if both teams score 1.5+ goals per game. They ignore that one team might be conceding only 0.8 goals per game. Defence matters equally.
Framework: Add scoring rates (1.5 + 1.5 = 3.0 expected goals) AND check defensive strength. If both teams have been shipping goals recently, BTTS is more likely than the 3.0 expected suggests.
2. Using only season averages A team might average 1.8 goals scored and 1.2 conceded over a season. But if they've been in terrible form for the last month (0.5 goals scored, 2.0 conceded), season averages are misleading. Weight recent form (last 5-10 matches) more than season average.
3. Assuming recent high-scoring matches will continue If the last three meetings between two teams were 3-1, 2-2, and 2-1 (lots of goals), don't assume the fourth will be the same. That's sample size bias. Look at current team form, not just head-to-head history.
4. Overlooking injuries to key defenders or strikers A striker-less team or a team without its key centre-back is materially different. If your data is from before the injury, it's outdated. Check team news before betting.
5. Not adjusting for home/away A team might score 1.8 goals per game on average but only 1.2 away. Playing them away changes the probability significantly. Always split home and away stats.
6. Overweighting a single stat A team might have a high clean sheet percentage (30%) and low goals conceded (0.9 per game), but recent xG against is 1.8 per game. The chances created against them are rising even if they're not going in yet. This can predict a breakage in their clean sheet record.
How to Build a BTTS Edge
Step 1: Gather data For each team in your league of focus, track:
- Goals for (home and away)
- Goals conceded (home and away)
- xG for and xG against
- Clean sheets
- Last 5 or 10 match form
Step 2: Identify your prediction method Some bettors use xG alone. Others weight both offensive and defensive records equally. Some use a Poisson model or logistic regression to predict goal probabilities. Choose a method and test it.
Example method: Simple average
- Probability both teams score = (Attacking strength of Team A × Defensive weakness of Team B) × (Attacking strength of Team B × Defensive weakness of Team A)
Or more simply: compare combined expected goals to frequency of BTTS in matches with that xG total. A match with 2.4 combined xG might have 55% BTTS frequency historically. Multiply BTTS odds (say 1.70) by this frequency (55%) for expected return.
Step 3: Test your method Backtest on past matches. Did your method correctly predict BTTS outcomes? What was your long-term return?
Step 4: Compare to bookmaker odds Your estimated BTTS probability vs bookmaker implied probability (1/odds). If you think BTTS Yes is 60% likely and odds are 1.72 (58% implied), you're close to fair. If you think it's 65% and odds are 1.72, that's value.
Step 5: Record results Log every BTTS bet: your reasoning, the odds, the stake, and the result. Over time, you'll see if your method is genuinely profitable or if you're experiencing variance.
When to Avoid BTTS Bets
- Very strong team vs very weak team: City vs a newly promoted side. City will likely win 3-0 or 4-0. BTTS is unlikely.
- Injured squad: If a team is missing half their outfield, their attacking and defensive capabilities are compromised. Wait for clarity.
- Extremely defensive league or tactics: Italian football historically. Some teams set up to win 1-0. BTTS isn't the target.
- Extreme weather: Heavy snow or high winds reduce goal-scoring ability unpredictably, making BTTS odds unreliable.
- Newly formed team combinations: If a team has just signed five new players, their attacking and defensive integration isn't yet established. Season data is unreliable.
Advanced Consideration: BTTS Probability Estimation
If you want to be more precise, estimate the probability of each team scoring.
Poisson Distribution Model (simplified):
- Team A expected goals against Team B defence: 1.6
- Team B expected goals against Team A defence: 1.2
Probability Team A scores (1+ goals):
- Using Poisson, P(X>=1) = 1 - e^(-1.6) = approximately 0.80 (80%)
Probability Team B scores:
- P(X>=1) = 1 - e^(-1.2) = approximately 0.70 (70%)
Probability both score:
- 0.80 × 0.70 = 0.56 (56%)
If bookmakers are offering BTTS Yes at 1.75 (57% implied), that's roughly fair. If they're offering 1.90 (53% implied), that's value.
This requires calculating xG for each team against each specific opponent. Most casual bettors won't go this deep, but it's the foundation of professional BTTS betting.
In Summary
- BTTS is deceptively simple conceptually but requires careful analysis in practice.
- You must understand both scoring prowess and defensive strength.
- A team that scores 2.0 goals per game but concedes 2.0 per game is a classic BTTS Yes candidate.
- A team that scores 1.2 and concedes 0.8 is a BTTS No candidate, even if their goal tally seems reasonable.
- Combine BTTS with other markets (match result, over/under) to express specific views.
- Track your results meticulously.
- Use xG and recent form alongside historical averages.
- And remember: BTTS is popular for a reason.
- It's accessible, exciting, and offers decent odds.
- But profitability requires disciplined analysis, not just intuition.
FAQ
Q: What percentage of matches end with both teams scoring? A: Across major European leagues, roughly 55-65% of matches see both teams score. This varies by league (Bundesliga higher at 65%, Serie A lower at 50%) and by division (higher divisions more likely than lower).
Q: Should I avoid BTTS in defensive leagues like Serie A? A: Not avoid, but be selective. In Serie A, look for matchups where both teams are attacking or when a strong team is chasing a result. You might find value in BTTS No more often than BTTS Yes.
Q: Is BTTS Yes or BTTS No generally better value? A: Neither is inherently better. It depends on the specific match and bookmaker odds. Some matchups favour BTTS Yes, others BTTS No. Compare your estimated probability to the odds.
Q: Can I combine BTTS with correct score bets? A: You could, but it's restrictive. If you back BTTS Yes and Correct Score 2-1, you're narrowing outcomes dramatically, so odds improve but risk increases significantly.
Q: How do I account for team form changes? A: Weight recent matches more heavily. A team's last 5-10 matches matter more than season-long averages when their form is changing. If they've been in poor form but are now improving, adjust upwards.
Q: Should I use xG or historical goals for BTTS prediction? A: Both, ideally. Historical goals tell you what happened. xG tells you what should happen based on chance quality. If a team has been scoring fewer than xG suggests, they might improve. Use both to inform your assessment.
Q: Is BTTS good for accumulators? A: Yes, very popular. Multiple BTTS Yes bets across different matches create interesting accumulators. Just be careful of correlation (are all matches likely to go over because of similar conditions or form?).