Insights · 2023-24 to 2025-26 (calendar-year leagues 2023 to 2025)

Shots and finishing across 52 leagues: who shoots, who scores

Three seasons of match statistics, 43,213 matches in 52 leagues, from the Bundesliga to Serie C and Austria's 2. Liga. Three things stand out. A team's share of the shots predicts its points almost everywhere (median correlation 0.76 across every league-season). How much a league shoots is a stable style: A-League (Australia) averages 28.8 shots a match, Premier League (Egypt) 21.7. And how well leagues finish differs less than fans think: most sit within noise of each other, with a handful of clear exceptions, Brazil's two divisions at the bottom of them.

1. Shoot more than your opponent, win

For each team-season we took its share of all shots in its matches and its points per game. Across 52 leagues and three seasons the correlation is 0.76 at the median, and it is positive in every league we hold. Whatever the level, from the Eredivisie to the National League North, the side that gets the ball into shooting positions more often than its opponent collects the points. Tactics, luck and finishing add the rest, but shot share is the floor.

2. Every league has a shooting style

Shots per match range from about 21.7 to 28.8, and a league's number barely moves from one season to the next (rank correlation 0.84 between the last two seasons). Home teams take 54.0% of the shots on average, which is the home advantage in one number.

One dot per league. Blue = converts clearly better than its peer group, red = clearly worse, grey = within the margin of error. Fainter dots are leagues whose statistics come from our second provider (see method).

3. Who is clinical, and who isn't

“Clinical” here is goals per shot on target, pooled over three seasons so one hot striker doesn't decide it. Among the 38 leagues on our main statistics provider, the median is 0.316: roughly one goal per three shots on target.

Most clinical

Eliteserien (Norway): 0.339 ±0.012
Bundesliga (Germany): 0.338 ±0.010
ISL (India): 0.332 ±0.017
League Two (England): 0.330 ±0.008
Super League (China): 0.330 ±0.011

Least clinical

Serie B (Brazil): 0.269 ±0.009
Serie A (Brazil): 0.277 ±0.009
Superliga (Romania): 0.293 ±0.011
Jupiler Pro League (Belgium): 0.298 ±0.011
LaLiga2 (Spain): 0.303 ±0.008

Brazil is the clear outlier. Serie A converts 0.277 and Serie B 0.269 of shots on target, three seasons running, over more than 1,100 matches each: a fifth fewer goals per shot on target than the Bundesliga or Norway's Eliteserien. Brazilian teams shoot as often as anyone (26.6 per match); the shots just go in less. Whether that is goalkeeping, shot selection or how shots are recorded there, the data alone can't say.

4. The teams

Teams with at least 60 matches over the three seasons, all leagues pooled.

Most clinical

Team	League	Games	Goals per shot on target ↓	Shot share	Points / game
Bodo/Glimt	Eliteserien	90	0.419	63.4%	2.24
Ried	2. Liga	60	0.413	63.2%	2.07
Shanghai Port	Super League	90	0.412	58.4%	2.3
PAOK	Super League	81	0.410	60.5%	2.07
Inter	Serie A	113	0.407	61.5%	2.32
Zlin	Chance Liga	63	0.404	42.6%	1.02
Dortmund	Bundesliga	102	0.404	54.2%	1.89
Al Adalah	Division 1	68	0.403	46%	1.34

Least clinical

Team	League	Games	Goals per shot on target ↑	Shot share	Points / game
Rayo Vallecano	LaLiga	114	0.215	52.8%	1.23
Ponte Preta	Serie B	76	0.221	44.6%	1.05
Fakel Voronezh	Premier League	60	0.225	43.4%	0.83
Montpellier	Ligue 1	68	0.231	43.4%	0.85
Lecce	Serie A	114	0.232	46.6%	0.96
Operario-PR	Serie B	75	0.234	56.8%	1.37
El Ismaily	Premier League	82	0.236	46.2%	0.8
Botafogo SP	Serie B	112	0.237	47%	1.18

All 52 leagues

Click a column to sort; click a league for its page. “vs. peers” compares conversion with the median of the same provider group, beyond a 95% interval.

League	Country	Matches	Shots / match	On target	Goals per shot on target ↓	vs. peers	Shot share → points (r)
Division 1	Saudi Arabia	605	21.9	36.5%	0.349	above	0.81
2. Liga	Austria	700	22.1	37.7%	0.346	above	0.73
Division 1	Ireland	533	23.2	35.8%	0.340	average	0.83
Eliteserien	Norway	719	25.9	34.6%	0.339	above	0.84
Bundesliga	Germany	919	26.7	35.4%	0.338	above	0.86
NB II.	Hungary	451	23	34.9%	0.334	average	0.62
ISL	India	374	25.8	31.9%	0.332	average	0.64
Challenge League	Switzerland	342	26.3	34.8%	0.331	average	0.5
National League North	England	1059	22.6	37.5%	0.330	average	0.81
League Two	England	1660	24.4	33.4%	0.330	above	0.7
Super League	China	720	26.3	34.9%	0.330	above	0.81
ChNL	Czech Republic	711	23	35.3%	0.329	average	0.63
Saudi Professional League	Saudi Arabia	891	24.5	36.7%	0.329	above	0.81
League One	England	1660	23.6	33.6%	0.328	above	0.75
Premiership	Scotland	624	25.3	33.8%	0.327	average	0.91
Premier League	England	1140	26.2	34.9%	0.327	above	0.85
Bundesliga	Austria	459	24.3	33.9%	0.326	average	0.73
1. Lig	Turkey	1050	22.9	36%	0.325	average	0.92
2. Bundesliga	Germany	917	27.1	34.2%	0.325	average	0.68
Liga Portugal	Portugal	308	24.1	34.1%	0.325	average	0.84
Optibet Virsliga	Latvia	542	25.8	35.6%	0.324	average	0.95
Superliga	Denmark	456	26.1	35.6%	0.321	average	0.76
Super League	Greece	574	23.9	34.6%	0.320	average	0.88
Super Lig	Turkey	1028	25.6	34.1%	0.320	average	0.87
Ekstraklasa	Poland	909	27	31.7%	0.319	average	0.56
Championship	England	1658	24.7	32.8%	0.318	average	0.76
Allsvenskan	Sweden	720	26.8	33.1%	0.317	average	0.74
Chance Liga	Czech Republic	738	24.9	34.2%	0.315	average	0.86
Meistriliiga	Estonia	536	25.8	35.8%	0.315	average	0.89
Mozzart Bet Super Liga	Serbia	763	24.5	35.3%	0.315	average	0.77
Eredivisie	Netherlands	920	27.5	36.2%	0.315	average	0.88
A-League	Australia	492	28.8	34.9%	0.314	average	0.12
LaLiga	Spain	1140	24.4	34.7%	0.314	average	0.77
Super League	Switzerland	625	27.7	34.7%	0.314	average	0.73
Ligue 1	France	919	25.1	36%	0.314	average	0.85
Thai League 1	Thailand	717	26.6	35.1%	0.314	below	0.75
J1 League	Japan	1066	25	32.5%	0.313	average	0.66
Eerste Divisie	Netherlands	1139	27	36.5%	0.313	average	0.75
Serie A	Italy	1139	24.8	32.8%	0.311	average	0.86
K League 2	South Korea	739	23	36.1%	0.310	below	0.75
Ligue 2	France	994	23.1	35.2%	0.310	average	0.65
1st Division	Denmark	456	25.3	36.7%	0.310	below	0.79
Premier League	Russia	719	25.2	33.8%	0.309	average	0.7
Premier League	Egypt	751	21.7	32.4%	0.308	average	0.8
Serie B	Italy	1150	25.8	31.9%	0.305	below	0.54
Serie C - Group B	Italy	733	22.3	33.8%	0.304	below	0.67
LaLiga2	Spain	1390	24.5	33.3%	0.303	below	0.43
Jupiler Pro League	Belgium	794	26.3	34.6%	0.298	below	0.71
A Lyga	Lithuania	538	24.1	34.4%	0.298	below	0.84
Superliga	Romania	760	25.8	32.8%	0.293	below	0.7
Serie A	Brazil	1134	26.6	33.7%	0.277	below	0.62
Serie B	Brazil	1132	26	31%	0.269	below	0.36

Method and caveats

Data: team match statistics for the 2023-24, 2024-25 and 2025-26 seasons (calendar-year leagues: 2023 to 2025), joined to our own results. A league is included only when every season it contributes has statistics for at least 80% of its matches and at least 300 matches in total: 52 of our 93 leagues qualify.
Two providers, never ranked against each other. Our statistics come from two providers with different counting conventions: the second records about two fewer shots per match and a higher on-target share. So “most/least clinical” is judged within each provider's group (38 and 14 leagues), and the scatter shows the second group as fainter dots.
Noise: the ± figures are 95% intervals on goals per shot on target. A single season of a league is not enough to call it clinical (year-to-year rank correlation only 0.55); three seasons pooled is.
What we don't do: no expected goals, no per-match provider data, no odds. Aggregates only, computed by us. The per-match statistics stay on the providers' side; our own results, half-time scores and goal minutes are open data (CC BY 4.0, with a DOI).

Results and goal timing by football-charts.com. Match statistics aggregated from licensed providers; per-match figures are not redistributed. Free to cite with a link.

Insights · 2023-24 to 2025-26 (calendar-year leagues 2023 to 2025)

Shots and finishing across 52 leagues: who shoots, who scores

1. Shoot more than your opponent, win

2. Every league has a shooting style

3. Who is clinical, and who isn't

Most clinical

Eliteserien (Norway): 0.339 ±0.012
Bundesliga (Germany): 0.338 ±0.010
ISL (India): 0.332 ±0.017
League Two (England): 0.330 ±0.008
Super League (China): 0.330 ±0.011

Least clinical

Serie B (Brazil): 0.269 ±0.009
Serie A (Brazil): 0.277 ±0.009
Superliga (Romania): 0.293 ±0.011
Jupiler Pro League (Belgium): 0.298 ±0.011
LaLiga2 (Spain): 0.303 ±0.008

4. The teams

Teams with at least 60 matches over the three seasons, all leagues pooled.

Most clinical

Team	League	Games	Goals per shot on target ↓	Shot share	Points / game
Bodo/Glimt	Eliteserien	90	0.419	63.4%	2.24
Ried	2. Liga	60	0.413	63.2%	2.07
Shanghai Port	Super League	90	0.412	58.4%	2.3
PAOK	Super League	81	0.410	60.5%	2.07
Inter	Serie A	113	0.407	61.5%	2.32
Zlin	Chance Liga	63	0.404	42.6%	1.02
Dortmund	Bundesliga	102	0.404	54.2%	1.89
Al Adalah	Division 1	68	0.403	46%	1.34

Least clinical

Team	League	Games	Goals per shot on target ↑	Shot share	Points / game
Rayo Vallecano	LaLiga	114	0.215	52.8%	1.23
Ponte Preta	Serie B	76	0.221	44.6%	1.05
Fakel Voronezh	Premier League	60	0.225	43.4%	0.83
Montpellier	Ligue 1	68	0.231	43.4%	0.85
Lecce	Serie A	114	0.232	46.6%	0.96
Operario-PR	Serie B	75	0.234	56.8%	1.37
El Ismaily	Premier League	82	0.236	46.2%	0.8
Botafogo SP	Serie B	112	0.237	47%	1.18

All 52 leagues

Click a column to sort; click a league for its page. “vs. peers” compares conversion with the median of the same provider group, beyond a 95% interval.

League	Country	Matches	Shots / match	On target	Goals per shot on target ↓	vs. peers	Shot share → points (r)
Division 1	Saudi Arabia	605	21.9	36.5%	0.349	above	0.81
2. Liga	Austria	700	22.1	37.7%	0.346	above	0.73
Division 1	Ireland	533	23.2	35.8%	0.340	average	0.83
Eliteserien	Norway	719	25.9	34.6%	0.339	above	0.84
Bundesliga	Germany	919	26.7	35.4%	0.338	above	0.86
NB II.	Hungary	451	23	34.9%	0.334	average	0.62
ISL	India	374	25.8	31.9%	0.332	average	0.64
Challenge League	Switzerland	342	26.3	34.8%	0.331	average	0.5
National League North	England	1059	22.6	37.5%	0.330	average	0.81
League Two	England	1660	24.4	33.4%	0.330	above	0.7
Super League	China	720	26.3	34.9%	0.330	above	0.81
ChNL	Czech Republic	711	23	35.3%	0.329	average	0.63
Saudi Professional League	Saudi Arabia	891	24.5	36.7%	0.329	above	0.81
League One	England	1660	23.6	33.6%	0.328	above	0.75
Premiership	Scotland	624	25.3	33.8%	0.327	average	0.91
Premier League	England	1140	26.2	34.9%	0.327	above	0.85
Bundesliga	Austria	459	24.3	33.9%	0.326	average	0.73
1. Lig	Turkey	1050	22.9	36%	0.325	average	0.92
2. Bundesliga	Germany	917	27.1	34.2%	0.325	average	0.68
Liga Portugal	Portugal	308	24.1	34.1%	0.325	average	0.84
Optibet Virsliga	Latvia	542	25.8	35.6%	0.324	average	0.95
Superliga	Denmark	456	26.1	35.6%	0.321	average	0.76
Super League	Greece	574	23.9	34.6%	0.320	average	0.88
Super Lig	Turkey	1028	25.6	34.1%	0.320	average	0.87
Ekstraklasa	Poland	909	27	31.7%	0.319	average	0.56
Championship	England	1658	24.7	32.8%	0.318	average	0.76
Allsvenskan	Sweden	720	26.8	33.1%	0.317	average	0.74
Chance Liga	Czech Republic	738	24.9	34.2%	0.315	average	0.86
Meistriliiga	Estonia	536	25.8	35.8%	0.315	average	0.89
Mozzart Bet Super Liga	Serbia	763	24.5	35.3%	0.315	average	0.77
Eredivisie	Netherlands	920	27.5	36.2%	0.315	average	0.88
A-League	Australia	492	28.8	34.9%	0.314	average	0.12
LaLiga	Spain	1140	24.4	34.7%	0.314	average	0.77
Super League	Switzerland	625	27.7	34.7%	0.314	average	0.73
Ligue 1	France	919	25.1	36%	0.314	average	0.85
Thai League 1	Thailand	717	26.6	35.1%	0.314	below	0.75
J1 League	Japan	1066	25	32.5%	0.313	average	0.66
Eerste Divisie	Netherlands	1139	27	36.5%	0.313	average	0.75
Serie A	Italy	1139	24.8	32.8%	0.311	average	0.86
K League 2	South Korea	739	23	36.1%	0.310	below	0.75
Ligue 2	France	994	23.1	35.2%	0.310	average	0.65
1st Division	Denmark	456	25.3	36.7%	0.310	below	0.79
Premier League	Russia	719	25.2	33.8%	0.309	average	0.7
Premier League	Egypt	751	21.7	32.4%	0.308	average	0.8
Serie B	Italy	1150	25.8	31.9%	0.305	below	0.54
Serie C - Group B	Italy	733	22.3	33.8%	0.304	below	0.67
LaLiga2	Spain	1390	24.5	33.3%	0.303	below	0.43
Jupiler Pro League	Belgium	794	26.3	34.6%	0.298	below	0.71
A Lyga	Lithuania	538	24.1	34.4%	0.298	below	0.84
Superliga	Romania	760	25.8	32.8%	0.293	below	0.7
Serie A	Brazil	1134	26.6	33.7%	0.277	below	0.62
Serie B	Brazil	1132	26	31%	0.269	below	0.36

Method and caveats

Data: team match statistics for the 2023-24, 2024-25 and 2025-26 seasons (calendar-year leagues: 2023 to 2025), joined to our own results. A league is included only when every season it contributes has statistics for at least 80% of its matches and at least 300 matches in total: 52 of our 93 leagues qualify.
Two providers, never ranked against each other. Our statistics come from two providers with different counting conventions: the second records about two fewer shots per match and a higher on-target share. So “most/least clinical” is judged within each provider's group (38 and 14 leagues), and the scatter shows the second group as fainter dots.
Noise: the ± figures are 95% intervals on goals per shot on target. A single season of a league is not enough to call it clinical (year-to-year rank correlation only 0.55); three seasons pooled is.
What we don't do: no expected goals, no per-match provider data, no odds. Aggregates only, computed by us. The per-match statistics stay on the providers' side; our own results, half-time scores and goal minutes are open data (CC BY 4.0, with a DOI).

Results and goal timing by football-charts.com. Match statistics aggregated from licensed providers; per-match figures are not redistributed. Free to cite with a link.