Visitors Rarely Hitting the Target: How Often Is It 1-0 or 2-0?
Pre-match shot form tells you a lot about home clean-sheet wins. The catch is that the price already knows most of it, and the scoreline split barely changes.
Written by Lucía PereyraCorrect Score Predictions specialistReviewed by Halldóra Sigurðardóttir, Editor-in-Chief
| home wins to nil, all matches | 24.5% |
|---|---|
| against visitors averaging under 2.5 on target | 31.0% |
| against visitors averaging 6.0+ | 18.0% |
| of home wins to nil were 1-0 against the bluntest visitors | 40.6% |
- Market
- Correct Score
- The question
- When the away side has produced few shots on target in its last five league games, how often does the home side win to nil, and by which score?
- Sample
- 22 European league divisions with match statistics (gaps by division and season), 2005/06-2025/26, 95,491 matches
This file starts from pre-match form, not in-match statistics. It uses the away side's shots on target per game across its previous five league games. The question is plain: when a visitor has barely tested a goalkeeper lately, how often does the home side win without conceding, and is that usually 1-0, 2-0 or something heavier? I checked 95,491 matches across 22 European divisions from 2005/06-2025/26.
The headline answer is that against visitors averaging under 2.5 on target, the home side won to nil in 31.0% of matches, compared with 24.5% across everything. That is a genuine shift, but the price-matched rate was already 30.6%, so the market saw nearly all of it coming. When the clean-sheet win did arrive, 40.6% of those wins finished 1-0. On my correct score predictor page I treat this profile as context for shaping a fan of scores, not as a trigger to bet.
Stat line 1Blunt visitors lose to nil far more, mostly priced in
Each row is a band of visitors' recent shots on target. The dot labelled Actual is how often the home side won to nil, and Price-matched is what similar matches priced the same way delivered. The slope is steep. Hosts won to nil in 31.0% of 4,828 matches against the bluntest visitors and in 18.0% of 15,704 matches against those averaging 6.0+. The middle band, 4.0-4.4, sits at 25.2% on both measures.
What matters for a bettor is how close the two dots stay. From the bluntest to the sharpest visitors, the actual rate moved by −13.0 points and the price-matched rate by −11.6 points. The odds were already tracking the stat almost step for step.
View the data: home win to nil by visitors' shots on target
| Price-matched | Actual | 95% range | |
|---|---|---|---|
| Under 2.5 (4,828 matches) | 30.6% | 31.0% | ±1.3 |
| 2.5-2.9 (5,457 matches) | 29.1% | 30.7% | ±1.2 |
| 3.0-3.4 (13,122 matches) | 27.8% | 27.7% | ±0.8 |
| 3.5-3.9 (10,801 matches) | 26.7% | 27.2% | ±0.8 |
| 4.0-4.4 (17,149 matches) | 25.2% | 25.2% | ±0.6 |
| 4.5-4.9 (10,304 matches) | 23.9% | 23.1% | ±0.8 |
| 5.0-5.9 (18,126 matches) | 22.3% | 22.6% | ±0.6 |
| 6.0+ (15,704 matches) | 19.0% | 18.0% | ±0.6 |
| All matches (95,491 matches) | 24.5% | 24.5% | ±0.3 |
At price-matched fair odds, backing the home win to nil returned +1.4% against the bluntest visitors and −5.4% against the sharpest. Those figures look neat, but the main caveat applies here: gaps of one or two points sit inside the 95% ranges, opponent strength over those five games is not adjusted for, and real exact-score prices carry a margin that would push returns lower. My fair odds read 3.23 for the bluntest band and 5.56 for the sharpest. I only take a price longer than that, and even then I treat it as thin.
Stat line 2One-nil leads every band, whatever the visitors' form
This chart splits each band's home wins to nil by final score. I expected blunt visitors to produce more comfortable home wins. They did not. Against visitors under 2.5, the split was 40.6% at 1-0, 30.5% at 2-0 and 28.9% at 3-0 or more. Against visitors at 6.0+, it was 42.0%, 32.1% and 25.9%.
The shape barely moves. One-nil takes the largest share in every band, and its peak is 44.2% in the 5.0-5.9 group. Facing a toothless visitor changes how often the clean-sheet win happens, but it does very little to its size.
View the data: how the home win to nil was made
| 1-0 | 2-0 | 3-0 or more | |
|---|---|---|---|
| Under 2.5 | 40.6% | 30.5% | 28.9% |
| 2.5-2.9 | 39.5% | 31.2% | 29.3% |
| 3.0-3.4 | 40.2% | 31.0% | 28.8% |
| 3.5-3.9 | 41.1% | 30.3% | 28.6% |
| 4.0-4.4 | 43.0% | 30.0% | 27.0% |
| 4.5-4.9 | 42.0% | 31.3% | 26.7% |
| 5.0-5.9 | 44.2% | 31.0% | 24.8% |
| 6.0+ | 42.0% | 32.1% | 25.9% |
For correct score work, this is the more useful finding. Once I have decided the home side is likely to keep the visitor quiet, I do not need to rebuild the score distribution. I spread the stake in rough proportion to those shares, with 1-0 carrying the most weight.
Stat line 3Top-flight hosts show the widest gap, still small
Splitting by tier gives the clearest pattern in the file. Top-flight hosts facing visitors under 3.0 won to nil in 33.3% of 5,030 matches, against 31.7% price-matched, a gap of +1.6. Lower-division hosts in the same spot managed 28.5% of 5,255 matches, against 27.9%.
The pattern flips at the other end. Against visitors at 4.5+, top-flight hosts won to nil in 20.5% and lower-division hosts in 21.7%, and both tiers ran slightly under their prices.
| Tier | Visitors on target | Matches | Actual | Price-matched | Gap |
|---|---|---|---|---|---|
| Top flights | Under 3.0 | 5,030 | 33.3% | 31.7% | +1.6 |
| Top flights | 3.0-4.4 | 19,755 | 28.1% | 28.0% | +0.1 |
| Top flights | 4.5+ | 21,992 | 20.5% | 21.0% | −0.5 |
| Lower divisions | Under 3.0 | 5,255 | 28.5% | 27.9% | +0.6 |
| Lower divisions | 3.0-4.4 | 21,317 | 25.1% | 24.9% | +0.2 |
| Lower divisions | 4.5+ | 22,142 | 21.7% | 22.1% | −0.4 |
I would not build a habit on a 1.6-point gap at this sample size. It does suggest the top flights are where blunt-visitor form is least fully absorbed. The base rate itself is stable over time, at 25.1% of matches in 2005/06-2015/16 and 24.1% in 2016/17-2025/26.
Sheet verdict
- Check price before stat
Against visitors under 2.5 on target, the clean-sheet home win landed 31.0% of the time against 30.6% price-matched. Treat any price shorter than 3.23 as poor value.
- Weight 1-0 most heavily
One-nil was the most common home win to nil in every band, from 40.6% against the bluntest visitors to 42.0% against the sharpest. Size your exact-score stakes to that shape.
- Fade sharp-visitor clean sheets
Against visitors averaging 6.0+, hosts won to nil in 18.0% of matches against 19.0% price-matched. That band returned −5.4% even at margin-free odds.
Questions bettors ask
How often does the home team win to nil in football?
Across 95,491 European league matches, the home side won to nil in 24.5% of games, which is fair odds of 4.08. The rate was 25.1% in the earlier half of the period and 24.1% in the later half.
Does a weak away attack make 1-0 home wins more likely?
It makes home wins to nil more frequent, at 31.0% against visitors averaging under 2.5 shots on target. Within those wins, the share that finished 1-0 was 40.6%, much the same as in other bands.
Is backing home win to nil against blunt visitors profitable?
At margin-free fair odds it returned +1.4% against the bluntest visitors, a gap that sits inside the ±1.3 range. Real exact-score prices include a margin, so this is a historical description, not a profitable system.
I'm Lucía Pereyra, based in Buenos Aires, and I handle the correct score predictions at fixedmatchesvip.com — I map out every plausible final number rather than romance a single tidy scoreline into existence.
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