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Premier League BTTS Stats: Away Goals, Prices and 21 Seasons

Twenty-one Premier League seasons of BTTS: a near coin-flip base rate, a recent climb driven by away goals, and prices that tell you more than the table does.

Amal HaddadCompiled by Both Teams To Score specialistReviewed by Marisol Quintana, Editor-in-Chief6 min read
Premier League BTTS Stats: Away Goals, Prices and 21 Seasons
BTTS
The ledger
  • Premier League matches ending BTTS Yes51.3%
  • Highest season: 2023/2461.6%
  • Lowest season: 2005/0644.2%
  • Fair odds for BTTS Yes (1 ÷ rate)1.95

Both teams to score in the Premier League feels like a coin toss, and over the long run it nearly is. Across 7,980 completed matches from 2005/06 to 2025/26, both sides found the net in 51.3%, with BTTS No landing in 48.7%. That gives fair odds of 1.95 for Yes and 2.06 for No.

The average hides some movement, though. The rate has drifted upwards, mostly because away sides now score more often, and the favourite's price shifts the odds more than most bettors expect. If you arrived via my both teams to score tips, this is the reference file I lean on before I look at any team news.

§ 1BTTS rose late, peaking in 2023/24

The line shows the share of matches where both teams scored in each season, alongside how often the away side scored. The opening season, 2005/06, was the low point at 44.2%, and 2023/24 was the high at 61.6%. In between, the rate mostly sat in a band around the long-run figure. Then it climbed and stayed higher, with 56.1% across the 380 matches of 2025/26.

Watch the away line closely, because it does most of the work. The away side's scoring rate ran from 60.3% to 77.1% per season, and the BTTS line tends to rise and fall with it. Home sides score in most matches whatever the era, so BTTS mainly turns on whether the visitors get one.

Premier League BTTS rate by seasonShare of matches where both teams scored, 2005/06-2025/26
BTTS YesAway side scored
40%60%80%
71.6%56.1%
05/0608/0911/1214/1517/1820/2123/2425/26
View the data: premier league btts rate by season
BTTS YesAway side scored
05/0644.2%60.3%
06/0747.6%64.7%
07/0849.5%66.8%
08/0946.1%61.6%
09/1050.3%63.7%
10/1156.3%66.8%
11/1252.9%67.1%
12/1356.6%69.5%
13/1446.1%63.9%
14/1549.2%65.3%
15/1651.8%67.6%
16/1750.8%65.5%
17/1848.9%64.2%
18/1951.3%68.7%
19/2051.1%67.6%
20/2148.9%70.3%
21/2250.0%68.7%
22/2351.6%67.1%
23/2461.6%76.6%
24/2557.4%77.1%
25/2656.1%71.6%

The first five seasons averaged 47.5% and the last five averaged 55.3%, a shift of +7.8 points. That is my main caveat: long-run averages can understate where the league sits now, and a small group of seasons can still swing either way by chance.

§ 2Away sides score more, and goalless draws are rarer

Splitting the records into two halves makes the change easier to see. BTTS Yes went from 50.0% across 4,180 matches in 2005/06-2015/16 to 52.8% across 3,800 matches in 2016/17-2025/26. The home side's scoring rate barely moved, from 76.6% to 76.9%. The away side's rate went from 65.2% to 69.7%.

This is the tempo story I see when I watch. Fewer visiting teams settle for a point with ten men behind the ball, and more press high and commit runners. That leaves gaps at both ends, which is exactly what BTTS needs. Over 2.5 also rose between the two periods, so the shift is about open games rather than a quirk of the BTTS market.

Premier League then and now: BTTS ingredients2005/06-2015/16 (4,180) vs 2016/17-2025/26 (3,800)
2005/06-2015/162016/17-2025/26
BTTS Yes
50.0% → 52.8% +2.8
Home side scored
76.6% → 76.9% +0.3
Away side scored
65.2% → 69.7% +4.5
Over 2.5
50.4% → 54.4% +4
1-1 draws
10.7% → 10.9% +0.2
0-0 draws
8.2% → 6.1% −2.1
0%10%20%30%40%50%60%70%80%
View the data: premier league then and now: btts ingredients
2005/06-2015/162016/17-2025/26
BTTS Yes50.0%52.8%
Home side scored76.6%76.9%
Away side scored65.2%69.7%
Over 2.550.4%54.4%
1-1 draws10.7%10.9%
0-0 draws8.2%6.1%

Goalless draws fell from 8.2% to 6.1%, while 1-1 draws held steady, moving only from 10.7% to 10.9%. The scoreline that kills BTTS Yes outright is turning up less often.

§ 3Short-priced favourites suppress BTTS, especially away from home

Here each favourite price band is split by venue. With a home favourite, BTTS landed in 50.5% of 5,414 matches. With an away favourite, it was 53.2% over 2,526. The gap is not even across the bands, though, and that is where it gets useful.

At the short end, under 1.50, BTTS landed 47.3% with a home favourite and 44.8% with an away favourite. A heavy favourite on the road tends to dominate the ball and often keeps the hosts quiet. At the open end, 2.60+, it flips: 52.5% with a home favourite and 59.9% with an away favourite. When the market can barely separate two sides and the visitors are slightly preferred, the hosts still score at home and the visitors are good enough to reply.

Premier League: BTTS with a home vs an away favouriteBTTS Yes rate by favourite price and venue (home fav n / away fav n)
Home favouriteAway favourite
Under 1.501,411 / 357 matches
47.3% → 44.8% −2.5
1.50-1.991,731 / 1,023 matches
51.9% → 52.2% +0.3
2.00-2.592,028 / 974 matches
51.2% → 56.1% +4.9
2.60+244 / 172 matches
52.5% → 59.9% +7.4
35%40%45%50%55%60%65%

Bands with fewer than 100 matches on either side are left out.

View the data: premier league: btts with a home vs an away favourite
Home favouriteAway favourite
Under 1.50 (1,411 / 357 matches)47.3%44.8%
1.50-1.99 (1,731 / 1,023 matches)51.9%52.2%
2.00-2.59 (2,028 / 974 matches)51.2%56.1%
2.60+ (244 / 172 matches)52.5%59.9%

The 2.60+ samples are small, at 244 and 172 matches, so I treat that away figure as a strong lean rather than settled fact.

§ 4Fair BTTS prices shift with the favourite's odds

The table turns each favourite band into fair odds, with no margin built in. With a favourite under 1.40, BTTS Yes landed 46.0% over 1,270 matches, so fair Yes is 2.17 and fair No is 1.85. At 2.50+, the rate rises to 55.3% over 885 matches, for fair Yes of 1.81 and No of 2.24.

The middle bands are not perfectly smooth. The 1.70-1.99 band, at 53.6%, sits slightly above 2.00-2.49 at 52.3%. The 95% ranges overlap there, so I read the table as a slope from short favourites to open matches rather than a strict ladder.

Premier League BTTS fair odds by favourite priceFair odds = 1 ÷ observed rate; 95% range in points
Favourite oddsMatchesBTTS Yes95% rangeFair YesFair No
<1.401,27046.0%±2.72.171.85
1.40-1.691,63949.5%±2.42.021.98
1.70-1.991,61353.6%±2.41.872.16
2.00-2.492,53352.3%±1.91.912.10
2.50+88555.3%±3.31.812.24

These are fair odds implied by observed rates, not a test of quoted BTTS prices, because no BTTS odds sit in the records. Use them as a yardstick to judge whether a quote looks generous, never as a system on their own.

Almanac verdict

Start from the recent level
The last five seasons averaged 55.3% against a long-run 51.3%, so anchor on the recent figure before adjusting for the matchup. A price built only on the long-run 1.95 may be too short on No.
Respect heavy road favourites
Under 1.50, BTTS landed only 44.8% with an away favourite. That is the clearest spot in the data where No deserves a proper look.
Lean Yes in tight contests
When the favourite is 2.50+, fair BTTS Yes is 1.81. If a quote sits well above that, check how freely the visitors create chances before acting.
BTTS TipsToday's btts picksDaily predictions for this sport, read against the same league records.
BTTS predictions →

Questions bettors ask

How often do both teams score in the Premier League?

Across 7,980 matches from 2005/06 to 2025/26, both teams scored in 51.3% of games, with a 95% range of ±1.1 points. That converts to fair odds of 1.95 for BTTS Yes.

Which Premier League season had the most BTTS?

2023/24 was the highest at 61.6%, and 2005/06 was the lowest at 44.2%. The most recent completed season, 2025/26, came in at 56.1%.

Does a big favourite make BTTS less likely?

Yes, on these records. With a favourite under 1.40, BTTS landed 46.0% of the time, for fair odds of 2.17 on Yes and 1.85 on No.

Amal Haddad
Compiled byAmal Haddad

I'm Amal Haddad, based in Abu Dhabi, and I write the both-teams-to-score tips at fixed-match.tips — reading defensive frailty and attacking intent rather than chasing the obvious high-scoring names.

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