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Serie A Correct Score Stats: Is the 0-0 Fading in Italy?

The goalless draw has thinned out in Italy, but not vanished. Here is how Serie A's score mix has shifted, and what each common scoreline is worth on the record.

Priya NadkarniCompiled by Correct Score Predictions specialistReviewed by Marisol Quintana, Editor-in-Chief6 min read
Serie A Correct Score Stats: Is the 0-0 Fading in Italy?
Correct Score
The ledger
  • Serie A matches, 2005/06–2025/267,980
  • 0-0 rate, first five vs last five seasons7.8% → 7.2%
  • of matches ended 1-112.1%
  • fair decimal odds for 0-013.26

Serie A carries an old reputation as the home of the tight, tactical stalemate. I wanted to test that against 7,980 completed league matches from 2005/06 to 2025/26 and ask two questions: has the 0-0 really faded, and what is a fair price for Italy's common scorelines? If you want to see these base rates applied match by match, my correct score tips page is where they get used.

The short answer is yes, modestly. The 0-0 averaged 7.8% over the first five seasons and 7.2% over the last five. Across the two decade-long eras the drop is clearer, from 8.2% to 6.9%, while goals per game rose from 2.60 to 2.73. The 1-1 remains the single most common result at 12.1%, with a fair price of 8.26.

§ 1Goalless draws swing widely from one season to the next

This line tracks the 0-0 and 1-1 shares season by season. The 0-0 is restless: it peaked at 11.6% in 2011/12, bottomed out at 4.5% in 2008/09 and rebounded to 9.5% in 2025/26. That same 2011/12 season produced the lowest 1-1 rate at 9.5%, so goalless games seem to have taken share from the score draw that year rather than adding to the draw count.

The 1-1 line runs higher and steadier, peaking at 15.0% in 2014/15. In 2025/26 the two lines nearly met, with 1-1 at 9.7% just above the 0-0.

Serie A 0-0 and 1-1 rate by season% of league matches each season, 2005/06–2025/26
0-0 share1-1 share
0%5%10%15%
9.7%9.5%
2005/062008/092011/122014/152017/182020/212023/242025/26
View the data: serie a 0-0 and 1-1 rate by season
0-0 share1-1 share
2005/068.2%13.7%
2006/0710.3%12.6%
2007/087.9%13.7%
2008/094.5%13.2%
2009/108.2%13.2%
2010/118.9%11.3%
2011/1211.6%9.5%
2012/138.9%11.6%
2013/146.1%10.3%
2014/157.9%15.0%
2015/168.2%11.6%
2016/175.0%10.8%
2017/187.4%10.8%
2018/198.9%11.6%
2019/205.5%9.5%
2020/215.3%12.1%
2021/225.8%12.6%
2022/235.3%14.2%
2023/247.9%13.4%
2024/257.4%13.9%
2025/269.5%9.7%

My takeaway is that a single season tells you very little. The recent 0-0 bounce is real on the chart, but the series has bounced before, so I read any one year as noise around a slowly drifting base rate.

§ 2Narrow home wins and goalless draws gave ground to away scores

Splitting the record into 2005/06–2014/15 (3,800 matches) and 2015/16–2025/26 (4,180 matches) shows where the scores moved. The 1-0 fell the most, from 11.2% to 9.3% (−1.9 points), and the 0-0 went from 8.2% to 6.9% (−1.3 points). The 1-1 slipped only gently, from 12.4% to 11.8%.

The gains sit on the away side. The 1-2 rose most among the common scores, from 5.9% to 7.6% (+1.7 points), and the 0-1 also climbed. The 2-2 did not move at all.

Serie A scores: earlier vs recent seasons% of matches; 3,800 matches vs 4,180 matches
2005/06–2014/152015/16–2025/2695% range
1-1471 → 495 matches
12.4% → 11.8% −0.6
1-0425 → 387 matches
11.2% → 9.3% −1.9
2-1331 → 382 matches
8.7% → 9.1% +0.4
2-0335 → 293 matches
8.8% → 7.0% −1.8
0-0313 → 289 matches
8.2% → 6.9% −1.3
0-1258 → 325 matches
6.8% → 7.8% +1
1-2225 → 319 matches
5.9% → 7.6% +1.7
2-2210 → 230 matches
5.5% → 5.5% 0
0%5%10%15%20%

Bars show the 95% range for the recent era.

View the data: serie a scores: earlier vs recent seasons
2005/06–2014/152015/16–2025/2695% range
1-1 (471 → 495 matches)12.4%11.8%±1
1-0 (425 → 387 matches)11.2%9.3%±0.9
2-1 (331 → 382 matches)8.7%9.1%±0.9
2-0 (335 → 293 matches)8.8%7.0%±0.8
0-0 (313 → 289 matches)8.2%6.9%±0.8
0-1 (258 → 325 matches)6.8%7.8%±0.8
1-2 (225 → 319 matches)5.9%7.6%±0.8
2-2 (210 → 230 matches)5.5%5.5%±0.7

For a correct score bettor this is the useful chart. Italian home sides no longer close out games as reliably, and away teams score more often. Prices built on the old reputation for home 1-0s and dull stalemates may now be a touch short on those lines and generous on the away scorelines.

§ 3The 1-1 is Serie A's most likely score at 8.26

Here are the break-even prices for the eight common scores across the full record, each worked out as one divided by the observed share. The 1-1 landed in 966 matches (12.1%, range 11.4%–12.8%), a fair price of 8.26. The 1-0 follows at 10.2% and 9.83, then the 2-1 at 8.9% and 11.19.

The 0-0 sits at 7.5% and 13.26, just behind the 2-0 at 7.9% and 12.71. Further down, the 2-2 came in 5.5% of the time, converting to 18.14.

Serie A correct score fair oddsObserved rate and break-even decimal odds, 7,980 matches
ScoreMatchesShare95% rangeFair odds
1-196612.1%11.4%–12.8%8.26
1-081210.2%9.5%–10.9%9.83
2-17138.9%8.3%–9.5%11.19
2-06287.9%7.3%–8.5%12.71
0-06027.5%6.9%–8.1%13.26
0-15837.3%6.7%–7.9%13.69
1-25446.8%6.2%–7.4%14.67
2-24405.5%5.0%–6.0%18.14

Fair odds = 1 ÷ observed share, with no margin. A price above it would have been value on this record.

The main caveat, said once: these are break-even prices from past frequencies, not forecasts, and correct score markets carry wide margins, so quoted odds will usually sit well below them. Squads, promotion and relegation also reshape the mix year to year. Given the era shift, I would treat the full-record 0-0 figure as slightly generous to the goalless draw.

§ 4Reggina and Catania drew 1-1 far above the league norm

Among clubs with at least 150 Serie A matches, Reggina ended 1-1 in 17.8% of its 152 games, the highest rate in the window. Catania came next at 15.8% of 304, then Torino at 14.6% of 646. Juventus rounds off the top twelve at 12.2% of 760, barely above the league figure.

The bigger samples matter most here. Torino and Bologna both sit well above the league rate across 646 matches each, which is a far sturdier signal than Reggina's shorter stay.

Serie A clubs with the highest 1-1 rate% of each club's league matches, 2005/06–2025/26; matches in brackets
Reggina (152)
17.8%
Catania (304)
15.8%
Torino (646)
14.6%
Bologna (646)
13.9%
Lecce (342)
13.2%
Siena (266)
13.2%
Sampdoria (646)
12.7%
Verona (418)
12.7%
Atalanta (722)
12.5%
Chievo (494)
12.3%
Udinese (798)
12.3%
Juventus (760)
12.2%
View the data: serie a clubs with the highest 1-1 rate
% of each club's league matches, 2005/06–2025/26; matches in brackets
Reggina (152)17.8%
Catania (304)15.8%
Torino (646)14.6%
Bologna (646)13.9%
Lecce (342)13.2%
Siena (266)13.2%
Sampdoria (646)12.7%
Verona (418)12.7%
Atalanta (722)12.5%
Chievo (494)12.3%
Udinese (798)12.3%
Juventus (760)12.2%

Almanac verdict

Discount the full-record 0-0
The goalless draw fell from 8.2% to 6.9% between eras, so the full-record fair price of 13.26 likely flatters it slightly. I would want a little more than that before backing a Serie A 0-0.
Look at away scorelines
The 1-2 rose from 5.9% to 7.6% and the 0-1 also climbed, while the home 1-0 slid. Check whether a price on the away narrow win still reflects the older pattern.
Weight club samples properly
Torino's 14.6% across 646 matches says more than Reggina's 17.8% across 152. Use the larger samples when nudging a 1-1 price above the league's 12.1%.
Correct Score PredictionsToday's correct score picksDaily predictions for this sport, read against the same league records.
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Questions bettors ask

What is the most common correct score in Serie A?

The 1-1 is the most common, landing in 966 of 7,980 Serie A matches, or 12.1%. That gives a fair price of 8.26 before any bookmaker margin.

How often does Serie A end 0-0?

Across the full record 0-0 finished 7.5% of matches, a fair price of 13.26. The rate has eased, from 8.2% in 2005/06–2014/15 to 6.9% in 2015/16–2025/26.

Are Serie A games getting higher scoring?

Slightly. Goals per game moved from 2.60 in the earlier era to 2.73 in the recent one, with the 1-0 falling from 11.2% to 9.3% as away scorelines grew.

Priya Nadkarni
Compiled byPriya Nadkarni

I'm Priya Nadkarni, based in San Diego, and I write the correct score predictions at fixed-match.tips — built on goal distributions and game state, not on guessing a tidy final number.

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