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Stats SheetBTTS

BTTS and the Weaker Attack: Last-5 Shots on Target of the Lesser Side

The lesser attack's pre-match shot form sorts BTTS more sharply than the stronger side's. The price, though, follows almost all of that movement already.

Amani TahiriWritten by Both Teams To Score specialistReviewed by Halldóra Sigurðardóttir, Editor-in-Chief
BTTS and the Weaker Attack: Last-5 Shots on Target of the Lesser Side
The sheetBTTS
BTTS rate, all qualifying matches52.2%
BTTS when the weaker attack had under 2.6 SOT/game49.3%
BTTS when both attacks had 5.0+ SOT/game55.3%
top-fifth vs bottom-fifth gap, weaker attack+5.2 pts
Market
BTTS
The question
Does the weaker of the two attacks, measured by shots on target over its last five games, tell you more about BTTS than the stronger one?
Sample
22 European divisions with match statistics, 2005/06–2025/26, 95,501 league matches

Both teams to score breaks at its weakest link. One side can pepper the goal all afternoon, but if the other cannot find the target the bet dies. So I asked a plain question across 95,501 league matches in 22 European divisions. Does the weaker attack's recent shots-on-target form tell you more than the stronger one's? Before a match makes my both teams to score tips today page, this is one of the first numbers I check.

The short answer is yes, but only modestly. Matches where even the lesser side averaged 5.0 or more shots on target over its last five saw both teams score in 55.3%. Where the weaker attack sat under 2.6, the figure was 49.3%. The overall rate was 52.2%. The catch is that the market moved with this signal almost all the way, so the edge beyond the price is thin.

Stat line 1BTTS climbs as the weaker attack's shot form rises

Be clear on what this measures: it is pre-match form, not the stat line of the game being bet. For each fixture I take both sides' shots on target per game over their previous five league matches and keep the lower figure. Under 2.6, both teams scored in 49.3% of 9,842 games. At 5.0+, the rate was 55.3% across 13,934 games.

The middle band, 3.8–4.3, was the largest group at 19,818 games, and it landed exactly on the overall 52.2%. The climb is steady rather than dramatic, the kind of rhythm I trust more than a sudden jump.

BTTS by the weaker attack’s shots on targetLower last-5 SOT per game of the two teams; market vs actual
Market BTTSActual BTTS95% range
Under 2.69,842 games
49.8% → 49.3% −0.5
2.6–2.910,185 games
50.7% → 50.8% +0.1
3.0–3.313,776 games
51.3% → 50.8% −0.5
3.4–3.714,748 games
51.7% → 51.6% −0.1
3.8–4.319,818 games
52.6% → 52.2% −0.4
4.4–4.913,198 games
53.4% → 54.5% +1.1
5.0+13,934 games
54.0% → 55.3% +1.3
All matches95,501 games
52.1% → 52.2% +0.1
40%45%50%55%60%65%
View the data: btts by the weaker attack’s shots on target
Market BTTSActual BTTS95% range
Under 2.6 (9,842 games)49.8%49.3%±1
2.6–2.9 (10,185 games)50.7%50.8%±1
3.0–3.3 (13,776 games)51.3%50.8%±0.8
3.4–3.7 (14,748 games)51.7%51.6%±0.8
3.8–4.3 (19,818 games)52.6%52.2%±0.7
4.4–4.9 (13,198 games)53.4%54.5%±0.8
5.0+ (13,934 games)54.0%55.3%±0.8
All matches (95,501 games)52.1%52.2%±0.3

Now watch the market dots. The rebuilt market estimate rose from 49.8% to 54.0% over the same bands, tracking the actual rate almost step for step. Only in the top two bands does the actual figure edge ahead of the price.

Stat line 2The weaker and away attacks separate outcomes best

Here I split matches into fifths by each measure and compared BTTS in the top fifth against the bottom fifth. Ranked by the weaker attack, the gap was +5.2 points. Ranked by the stronger attack, it was only +3.8. Adding both attacks together gave +4.6, which suggests the strong side's numbers dilute the signal rather than sharpen it.

The home attack alone separated just +2.8 points, while the away attack matched the weaker-attack figure at +5.2. That fits what I saw on the touchline for years. The visiting side is so often the one whose forwards go quiet, so its form is where the bet tends to live or die.

Which attack number separates BTTS most?BTTS gap, top fifth minus bottom fifth of each measure (points)
Weaker attack
5.2 pts
Stronger attack
3.8 pts
Home attack
2.8 pts
Away attack
5.2 pts
Both attacks added
4.6 pts
View the data: which attack number separates btts most?
BTTS gap, top fifth minus bottom fifth of each measure (points)
Weaker attack5.2 pts
Stronger attack3.8 pts
Home attack2.8 pts
Away attack5.2 pts
Both attacks added4.6 pts

My reading is simple. Stop admiring the team that creates and start asking whether the other one can hit the target at all.

Stat line 3Top flights stretch the gradient wider than lower divisions

The pattern holds in both tiers, but it is stronger at the top. In the top flights, BTTS ran from 48.5% in the lowest band to 56.3% in the highest. In the lower divisions, the spread was narrower, from 50.0% to 54.3%.

I read the lower-division floor as a defending story. Thin attacks still nick goals when back lines step up a beat late and keepers wobble under crosses. At the elite end, a blunt attack facing an organised defence stays blunt, and a sharp one gets rewarded more cleanly.

Top flights vs lower divisionsBTTS % by weaker-attack band
Under 2.6
2.6–2.9
3.0–3.3
3.4–3.7
3.8–4.3
4.4–4.9
5.0+
Top flights
48.5%
50.4%
51.2%
52.0%
52.2%
54.7%
56.3%
Lower divisions
50.0%
51.1%
50.5%
51.3%
52.3%
54.3%
54.3%
View the data: top flights vs lower divisions
Under 2.62.6–2.93.0–3.33.4–3.73.8–4.34.4–4.95.0+
Top flights48.5%50.4%51.2%52.0%52.2%54.7%56.3%
Lower divisions50.0%51.1%50.5%51.3%52.3%54.3%54.3%

Stat line 4Fair odds shorten from 2.03 to 1.81 across bands

Fair odds, meaning one divided by the observed frequency, run from 2.03 in the bottom band to 1.81 in the top. Backed at market-fair odds, the top band returned +2.2% and the bottom band −1.0%. The 4.4–4.9 band showed +2.1% on 13,198 games.

Now the main caveat. There are no BTTS prices in the records, so the market figure is a model rebuilt from 1X2 and Over/Under 2.5 prices with the margin removed. Real BTTS prices carry a margin of several points, which is bigger than any of these returns. Treat this column as a benchmark against the market's view, not a bettable profit.

Fair odds and return by bandReturn if backed at market-fair odds, flat stakes
Weaker attack SOT/gameGamesBTTS95% rangeFair oddsReturn
Under 2.69,84249.3%48.3% to 50.3%2.03−1.0%
2.6–2.910,18550.8%49.8% to 51.8%1.97+0.3%
3.0–3.313,77650.8%50.0% to 51.6%1.97−0.7%
3.4–3.714,74851.6%50.8% to 52.4%1.94−0.2%
3.8–4.319,81852.2%51.5% to 52.9%1.91−0.6%
4.4–4.913,19854.5%53.7% to 55.3%1.83+2.1%
5.0+13,93455.3%54.5% to 56.1%1.81+2.2%

What I take from the table is direction, not a system. When the weaker attack is genuinely lively, a price drifting towards 2.03 deserves suspicion. Equally, odds near 1.81 for a matchup with one toothless side look too short to me.

Sheet verdict

  • Check the weaker attack

    Find the lower last-five shots-on-target figure of the two sides before anything else. It separated BTTS by +5.2 points, against +3.8 for the stronger attack.

  • Watch the away side

    The away attack alone matched that +5.2-point spread, while the home attack managed only +2.8. A quiet visiting forward line is usually where the bet breaks.

  • Compare against fair odds

    Set the band's fair odds, from 2.03 down to 1.81, against the actual price. Remember that real BTTS margins are larger than the +2.2% benchmark gap in the top band.

BTTS TipsToday's btts picksDaily predictions, read against the same match stats.
Today's BTTS tips →

Questions bettors ask

Does shots on target form predict both teams to score?

Somewhat. When the weaker attack averaged 5.0 or more shots on target over its last five, BTTS landed 55.3%, against 49.3% when it averaged under 2.6. The market had already moved from 49.8% to 54.0% across those bands, though.

Is the stronger or weaker attack more important for BTTS?

The weaker attack. Ranking matches by the lesser side produced a +5.2-point gap between the top and bottom fifths, compared with +3.8 points using the stronger side.

What are fair odds for BTTS when both teams shoot well?

In the 5.0+ band, both teams scored 55.3% of the time, which works out to fair odds of 1.81. Any real price has to beat that after the bookmaker's margin before it is worth a look.

Amani Tahiri
Written byAmani Tahiri

I'm Amani Tahiri, based in Marrakesh, and I write the both-teams-to-score tips at fixedmatchesvip.com — I read where a defence cracks and whether an attack genuinely wants the goal, not which famous names are on the sheet.

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